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[bytom/vapor.git] / vendor / google.golang.org / genproto / googleapis / cloud / language / v1 / language_service.pb.go

// Code generated by protoc-gen-go. DO NOT EDIT.
// source: google/cloud/language/v1/language_service.proto

/*
Package language is a generated protocol buffer package.

It is generated from these files:
        google/cloud/language/v1/language_service.proto

It has these top-level messages:
        Document
        Sentence
        Entity
        Token
        Sentiment
        PartOfSpeech
        DependencyEdge
        EntityMention
        TextSpan
        AnalyzeSentimentRequest
        AnalyzeSentimentResponse
        AnalyzeEntitiesRequest
        AnalyzeEntitiesResponse
        AnalyzeSyntaxRequest
        AnalyzeSyntaxResponse
        AnnotateTextRequest
        AnnotateTextResponse
*/
package language

import proto "github.com/golang/protobuf/proto"
import fmt "fmt"
import math "math"
import _ "google.golang.org/genproto/googleapis/api/annotations"

import (
        context "golang.org/x/net/context"
        grpc "google.golang.org/grpc"
)

// Reference imports to suppress errors if they are not otherwise used.
var _ = proto.Marshal
var _ = fmt.Errorf
var _ = math.Inf

// This is a compile-time assertion to ensure that this generated file
// is compatible with the proto package it is being compiled against.
// A compilation error at this line likely means your copy of the
// proto package needs to be updated.
const _ = proto.ProtoPackageIsVersion2 // please upgrade the proto package

// Represents the text encoding that the caller uses to process the output.
// Providing an `EncodingType` is recommended because the API provides the
// beginning offsets for various outputs, such as tokens and mentions, and
// languages that natively use different text encodings may access offsets
// differently.
type EncodingType int32

const (
        // If `EncodingType` is not specified, encoding-dependent information (such as
        // `begin_offset`) will be set at `-1`.
        EncodingType_NONE EncodingType = 0
        // Encoding-dependent information (such as `begin_offset`) is calculated based
        // on the UTF-8 encoding of the input. C++ and Go are examples of languages
        // that use this encoding natively.
        EncodingType_UTF8 EncodingType = 1
        // Encoding-dependent information (such as `begin_offset`) is calculated based
        // on the UTF-16 encoding of the input. Java and Javascript are examples of
        // languages that use this encoding natively.
        EncodingType_UTF16 EncodingType = 2
        // Encoding-dependent information (such as `begin_offset`) is calculated based
        // on the UTF-32 encoding of the input. Python is an example of a language
        // that uses this encoding natively.
        EncodingType_UTF32 EncodingType = 3
)

var EncodingType_name = map[int32]string{
        0: "NONE",
        1: "UTF8",
        2: "UTF16",
        3: "UTF32",
}
var EncodingType_value = map[string]int32{
        "NONE":  0,
        "UTF8":  1,
        "UTF16": 2,
        "UTF32": 3,
}

func (x EncodingType) String() string {
        return proto.EnumName(EncodingType_name, int32(x))
}
func (EncodingType) EnumDescriptor() ([]byte, []int) { return fileDescriptor0, []int{0} }

// The document types enum.
type Document_Type int32

const (
        // The content type is not specified.
        Document_TYPE_UNSPECIFIED Document_Type = 0
        // Plain text
        Document_PLAIN_TEXT Document_Type = 1
        // HTML
        Document_HTML Document_Type = 2
)

var Document_Type_name = map[int32]string{
        0: "TYPE_UNSPECIFIED",
        1: "PLAIN_TEXT",
        2: "HTML",
}
var Document_Type_value = map[string]int32{
        "TYPE_UNSPECIFIED": 0,
        "PLAIN_TEXT":       1,
        "HTML":             2,
}

func (x Document_Type) String() string {
        return proto.EnumName(Document_Type_name, int32(x))
}
func (Document_Type) EnumDescriptor() ([]byte, []int) { return fileDescriptor0, []int{0, 0} }

// The type of the entity.
type Entity_Type int32

const (
        // Unknown
        Entity_UNKNOWN Entity_Type = 0
        // Person
        Entity_PERSON Entity_Type = 1
        // Location
        Entity_LOCATION Entity_Type = 2
        // Organization
        Entity_ORGANIZATION Entity_Type = 3
        // Event
        Entity_EVENT Entity_Type = 4
        // Work of art
        Entity_WORK_OF_ART Entity_Type = 5
        // Consumer goods
        Entity_CONSUMER_GOOD Entity_Type = 6
        // Other types
        Entity_OTHER Entity_Type = 7
)

var Entity_Type_name = map[int32]string{
        0: "UNKNOWN",
        1: "PERSON",
        2: "LOCATION",
        3: "ORGANIZATION",
        4: "EVENT",
        5: "WORK_OF_ART",
        6: "CONSUMER_GOOD",
        7: "OTHER",
}
var Entity_Type_value = map[string]int32{
        "UNKNOWN":       0,
        "PERSON":        1,
        "LOCATION":      2,
        "ORGANIZATION":  3,
        "EVENT":         4,
        "WORK_OF_ART":   5,
        "CONSUMER_GOOD": 6,
        "OTHER":         7,
}

func (x Entity_Type) String() string {
        return proto.EnumName(Entity_Type_name, int32(x))
}
func (Entity_Type) EnumDescriptor() ([]byte, []int) { return fileDescriptor0, []int{2, 0} }

// The part of speech tags enum.
type PartOfSpeech_Tag int32

const (
        // Unknown
        PartOfSpeech_UNKNOWN PartOfSpeech_Tag = 0
        // Adjective
        PartOfSpeech_ADJ PartOfSpeech_Tag = 1
        // Adposition (preposition and postposition)
        PartOfSpeech_ADP PartOfSpeech_Tag = 2
        // Adverb
        PartOfSpeech_ADV PartOfSpeech_Tag = 3
        // Conjunction
        PartOfSpeech_CONJ PartOfSpeech_Tag = 4
        // Determiner
        PartOfSpeech_DET PartOfSpeech_Tag = 5
        // Noun (common and proper)
        PartOfSpeech_NOUN PartOfSpeech_Tag = 6
        // Cardinal number
        PartOfSpeech_NUM PartOfSpeech_Tag = 7
        // Pronoun
        PartOfSpeech_PRON PartOfSpeech_Tag = 8
        // Particle or other function word
        PartOfSpeech_PRT PartOfSpeech_Tag = 9
        // Punctuation
        PartOfSpeech_PUNCT PartOfSpeech_Tag = 10
        // Verb (all tenses and modes)
        PartOfSpeech_VERB PartOfSpeech_Tag = 11
        // Other: foreign words, typos, abbreviations
        PartOfSpeech_X PartOfSpeech_Tag = 12
        // Affix
        PartOfSpeech_AFFIX PartOfSpeech_Tag = 13
)

var PartOfSpeech_Tag_name = map[int32]string{
        0:  "UNKNOWN",
        1:  "ADJ",
        2:  "ADP",
        3:  "ADV",
        4:  "CONJ",
        5:  "DET",
        6:  "NOUN",
        7:  "NUM",
        8:  "PRON",
        9:  "PRT",
        10: "PUNCT",
        11: "VERB",
        12: "X",
        13: "AFFIX",
}
var PartOfSpeech_Tag_value = map[string]int32{
        "UNKNOWN": 0,
        "ADJ":     1,
        "ADP":     2,
        "ADV":     3,
        "CONJ":    4,
        "DET":     5,
        "NOUN":    6,
        "NUM":     7,
        "PRON":    8,
        "PRT":     9,
        "PUNCT":   10,
        "VERB":    11,
        "X":       12,
        "AFFIX":   13,
}

func (x PartOfSpeech_Tag) String() string {
        return proto.EnumName(PartOfSpeech_Tag_name, int32(x))
}
func (PartOfSpeech_Tag) EnumDescriptor() ([]byte, []int) { return fileDescriptor0, []int{5, 0} }

// The characteristic of a verb that expresses time flow during an event.
type PartOfSpeech_Aspect int32

const (
        // Aspect is not applicable in the analyzed language or is not predicted.
        PartOfSpeech_ASPECT_UNKNOWN PartOfSpeech_Aspect = 0
        // Perfective
        PartOfSpeech_PERFECTIVE PartOfSpeech_Aspect = 1
        // Imperfective
        PartOfSpeech_IMPERFECTIVE PartOfSpeech_Aspect = 2
        // Progressive
        PartOfSpeech_PROGRESSIVE PartOfSpeech_Aspect = 3
)

var PartOfSpeech_Aspect_name = map[int32]string{
        0: "ASPECT_UNKNOWN",
        1: "PERFECTIVE",
        2: "IMPERFECTIVE",
        3: "PROGRESSIVE",
}
var PartOfSpeech_Aspect_value = map[string]int32{
        "ASPECT_UNKNOWN": 0,
        "PERFECTIVE":     1,
        "IMPERFECTIVE":   2,
        "PROGRESSIVE":    3,
}

func (x PartOfSpeech_Aspect) String() string {
        return proto.EnumName(PartOfSpeech_Aspect_name, int32(x))
}
func (PartOfSpeech_Aspect) EnumDescriptor() ([]byte, []int) { return fileDescriptor0, []int{5, 1} }

// The grammatical function performed by a noun or pronoun in a phrase,
// clause, or sentence. In some languages, other parts of speech, such as
// adjective and determiner, take case inflection in agreement with the noun.
type PartOfSpeech_Case int32

const (
        // Case is not applicable in the analyzed language or is not predicted.
        PartOfSpeech_CASE_UNKNOWN PartOfSpeech_Case = 0
        // Accusative
        PartOfSpeech_ACCUSATIVE PartOfSpeech_Case = 1
        // Adverbial
        PartOfSpeech_ADVERBIAL PartOfSpeech_Case = 2
        // Complementive
        PartOfSpeech_COMPLEMENTIVE PartOfSpeech_Case = 3
        // Dative
        PartOfSpeech_DATIVE PartOfSpeech_Case = 4
        // Genitive
        PartOfSpeech_GENITIVE PartOfSpeech_Case = 5
        // Instrumental
        PartOfSpeech_INSTRUMENTAL PartOfSpeech_Case = 6
        // Locative
        PartOfSpeech_LOCATIVE PartOfSpeech_Case = 7
        // Nominative
        PartOfSpeech_NOMINATIVE PartOfSpeech_Case = 8
        // Oblique
        PartOfSpeech_OBLIQUE PartOfSpeech_Case = 9
        // Partitive
        PartOfSpeech_PARTITIVE PartOfSpeech_Case = 10
        // Prepositional
        PartOfSpeech_PREPOSITIONAL PartOfSpeech_Case = 11
        // Reflexive
        PartOfSpeech_REFLEXIVE_CASE PartOfSpeech_Case = 12
        // Relative
        PartOfSpeech_RELATIVE_CASE PartOfSpeech_Case = 13
        // Vocative
        PartOfSpeech_VOCATIVE PartOfSpeech_Case = 14
)

var PartOfSpeech_Case_name = map[int32]string{
        0:  "CASE_UNKNOWN",
        1:  "ACCUSATIVE",
        2:  "ADVERBIAL",
        3:  "COMPLEMENTIVE",
        4:  "DATIVE",
        5:  "GENITIVE",
        6:  "INSTRUMENTAL",
        7:  "LOCATIVE",
        8:  "NOMINATIVE",
        9:  "OBLIQUE",
        10: "PARTITIVE",
        11: "PREPOSITIONAL",
        12: "REFLEXIVE_CASE",
        13: "RELATIVE_CASE",
        14: "VOCATIVE",
}
var PartOfSpeech_Case_value = map[string]int32{
        "CASE_UNKNOWN":   0,
        "ACCUSATIVE":     1,
        "ADVERBIAL":      2,
        "COMPLEMENTIVE":  3,
        "DATIVE":         4,
        "GENITIVE":       5,
        "INSTRUMENTAL":   6,
        "LOCATIVE":       7,
        "NOMINATIVE":     8,
        "OBLIQUE":        9,
        "PARTITIVE":      10,
        "PREPOSITIONAL":  11,
        "REFLEXIVE_CASE": 12,
        "RELATIVE_CASE":  13,
        "VOCATIVE":       14,
}

func (x PartOfSpeech_Case) String() string {
        return proto.EnumName(PartOfSpeech_Case_name, int32(x))
}
func (PartOfSpeech_Case) EnumDescriptor() ([]byte, []int) { return fileDescriptor0, []int{5, 2} }

// Depending on the language, Form can be categorizing different forms of
// verbs, adjectives, adverbs, etc. For example, categorizing inflected
// endings of verbs and adjectives or distinguishing between short and long
// forms of adjectives and participles
type PartOfSpeech_Form int32

const (
        // Form is not applicable in the analyzed language or is not predicted.
        PartOfSpeech_FORM_UNKNOWN PartOfSpeech_Form = 0
        // Adnomial
        PartOfSpeech_ADNOMIAL PartOfSpeech_Form = 1
        // Auxiliary
        PartOfSpeech_AUXILIARY PartOfSpeech_Form = 2
        // Complementizer
        PartOfSpeech_COMPLEMENTIZER PartOfSpeech_Form = 3
        // Final ending
        PartOfSpeech_FINAL_ENDING PartOfSpeech_Form = 4
        // Gerund
        PartOfSpeech_GERUND PartOfSpeech_Form = 5
        // Realis
        PartOfSpeech_REALIS PartOfSpeech_Form = 6
        // Irrealis
        PartOfSpeech_IRREALIS PartOfSpeech_Form = 7
        // Short form
        PartOfSpeech_SHORT PartOfSpeech_Form = 8
        // Long form
        PartOfSpeech_LONG PartOfSpeech_Form = 9
        // Order form
        PartOfSpeech_ORDER PartOfSpeech_Form = 10
        // Specific form
        PartOfSpeech_SPECIFIC PartOfSpeech_Form = 11
)

var PartOfSpeech_Form_name = map[int32]string{
        0:  "FORM_UNKNOWN",
        1:  "ADNOMIAL",
        2:  "AUXILIARY",
        3:  "COMPLEMENTIZER",
        4:  "FINAL_ENDING",
        5:  "GERUND",
        6:  "REALIS",
        7:  "IRREALIS",
        8:  "SHORT",
        9:  "LONG",
        10: "ORDER",
        11: "SPECIFIC",
}
var PartOfSpeech_Form_value = map[string]int32{
        "FORM_UNKNOWN":   0,
        "ADNOMIAL":       1,
        "AUXILIARY":      2,
        "COMPLEMENTIZER": 3,
        "FINAL_ENDING":   4,
        "GERUND":         5,
        "REALIS":         6,
        "IRREALIS":       7,
        "SHORT":          8,
        "LONG":           9,
        "ORDER":          10,
        "SPECIFIC":       11,
}

func (x PartOfSpeech_Form) String() string {
        return proto.EnumName(PartOfSpeech_Form_name, int32(x))
}
func (PartOfSpeech_Form) EnumDescriptor() ([]byte, []int) { return fileDescriptor0, []int{5, 3} }

// Gender classes of nouns reflected in the behaviour of associated words.
type PartOfSpeech_Gender int32

const (
        // Gender is not applicable in the analyzed language or is not predicted.
        PartOfSpeech_GENDER_UNKNOWN PartOfSpeech_Gender = 0
        // Feminine
        PartOfSpeech_FEMININE PartOfSpeech_Gender = 1
        // Masculine
        PartOfSpeech_MASCULINE PartOfSpeech_Gender = 2
        // Neuter
        PartOfSpeech_NEUTER PartOfSpeech_Gender = 3
)

var PartOfSpeech_Gender_name = map[int32]string{
        0: "GENDER_UNKNOWN",
        1: "FEMININE",
        2: "MASCULINE",
        3: "NEUTER",
}
var PartOfSpeech_Gender_value = map[string]int32{
        "GENDER_UNKNOWN": 0,
        "FEMININE":       1,
        "MASCULINE":      2,
        "NEUTER":         3,
}

func (x PartOfSpeech_Gender) String() string {
        return proto.EnumName(PartOfSpeech_Gender_name, int32(x))
}
func (PartOfSpeech_Gender) EnumDescriptor() ([]byte, []int) { return fileDescriptor0, []int{5, 4} }

// The grammatical feature of verbs, used for showing modality and attitude.
type PartOfSpeech_Mood int32

const (
        // Mood is not applicable in the analyzed language or is not predicted.
        PartOfSpeech_MOOD_UNKNOWN PartOfSpeech_Mood = 0
        // Conditional
        PartOfSpeech_CONDITIONAL_MOOD PartOfSpeech_Mood = 1
        // Imperative
        PartOfSpeech_IMPERATIVE PartOfSpeech_Mood = 2
        // Indicative
        PartOfSpeech_INDICATIVE PartOfSpeech_Mood = 3
        // Interrogative
        PartOfSpeech_INTERROGATIVE PartOfSpeech_Mood = 4
        // Jussive
        PartOfSpeech_JUSSIVE PartOfSpeech_Mood = 5
        // Subjunctive
        PartOfSpeech_SUBJUNCTIVE PartOfSpeech_Mood = 6
)

var PartOfSpeech_Mood_name = map[int32]string{
        0: "MOOD_UNKNOWN",
        1: "CONDITIONAL_MOOD",
        2: "IMPERATIVE",
        3: "INDICATIVE",
        4: "INTERROGATIVE",
        5: "JUSSIVE",
        6: "SUBJUNCTIVE",
}
var PartOfSpeech_Mood_value = map[string]int32{
        "MOOD_UNKNOWN":     0,
        "CONDITIONAL_MOOD": 1,
        "IMPERATIVE":       2,
        "INDICATIVE":       3,
        "INTERROGATIVE":    4,
        "JUSSIVE":          5,
        "SUBJUNCTIVE":      6,
}

func (x PartOfSpeech_Mood) String() string {
        return proto.EnumName(PartOfSpeech_Mood_name, int32(x))
}
func (PartOfSpeech_Mood) EnumDescriptor() ([]byte, []int) { return fileDescriptor0, []int{5, 5} }

// Count distinctions.
type PartOfSpeech_Number int32

const (
        // Number is not applicable in the analyzed language or is not predicted.
        PartOfSpeech_NUMBER_UNKNOWN PartOfSpeech_Number = 0
        // Singular
        PartOfSpeech_SINGULAR PartOfSpeech_Number = 1
        // Plural
        PartOfSpeech_PLURAL PartOfSpeech_Number = 2
        // Dual
        PartOfSpeech_DUAL PartOfSpeech_Number = 3
)

var PartOfSpeech_Number_name = map[int32]string{
        0: "NUMBER_UNKNOWN",
        1: "SINGULAR",
        2: "PLURAL",
        3: "DUAL",
}
var PartOfSpeech_Number_value = map[string]int32{
        "NUMBER_UNKNOWN": 0,
        "SINGULAR":       1,
        "PLURAL":         2,
        "DUAL":           3,
}

func (x PartOfSpeech_Number) String() string {
        return proto.EnumName(PartOfSpeech_Number_name, int32(x))
}
func (PartOfSpeech_Number) EnumDescriptor() ([]byte, []int) { return fileDescriptor0, []int{5, 6} }

// The distinction between the speaker, second person, third person, etc.
type PartOfSpeech_Person int32

const (
        // Person is not applicable in the analyzed language or is not predicted.
        PartOfSpeech_PERSON_UNKNOWN PartOfSpeech_Person = 0
        // First
        PartOfSpeech_FIRST PartOfSpeech_Person = 1
        // Second
        PartOfSpeech_SECOND PartOfSpeech_Person = 2
        // Third
        PartOfSpeech_THIRD PartOfSpeech_Person = 3
        // Reflexive
        PartOfSpeech_REFLEXIVE_PERSON PartOfSpeech_Person = 4
)

var PartOfSpeech_Person_name = map[int32]string{
        0: "PERSON_UNKNOWN",
        1: "FIRST",
        2: "SECOND",
        3: "THIRD",
        4: "REFLEXIVE_PERSON",
}
var PartOfSpeech_Person_value = map[string]int32{
        "PERSON_UNKNOWN":   0,
        "FIRST":            1,
        "SECOND":           2,
        "THIRD":            3,
        "REFLEXIVE_PERSON": 4,
}

func (x PartOfSpeech_Person) String() string {
        return proto.EnumName(PartOfSpeech_Person_name, int32(x))
}
func (PartOfSpeech_Person) EnumDescriptor() ([]byte, []int) { return fileDescriptor0, []int{5, 7} }

// This category shows if the token is part of a proper name.
type PartOfSpeech_Proper int32

const (
        // Proper is not applicable in the analyzed language or is not predicted.
        PartOfSpeech_PROPER_UNKNOWN PartOfSpeech_Proper = 0
        // Proper
        PartOfSpeech_PROPER PartOfSpeech_Proper = 1
        // Not proper
        PartOfSpeech_NOT_PROPER PartOfSpeech_Proper = 2
)

var PartOfSpeech_Proper_name = map[int32]string{
        0: "PROPER_UNKNOWN",
        1: "PROPER",
        2: "NOT_PROPER",
}
var PartOfSpeech_Proper_value = map[string]int32{
        "PROPER_UNKNOWN": 0,
        "PROPER":         1,
        "NOT_PROPER":     2,
}

func (x PartOfSpeech_Proper) String() string {
        return proto.EnumName(PartOfSpeech_Proper_name, int32(x))
}
func (PartOfSpeech_Proper) EnumDescriptor() ([]byte, []int) { return fileDescriptor0, []int{5, 8} }

// Reciprocal features of a pronoun.
type PartOfSpeech_Reciprocity int32

const (
        // Reciprocity is not applicable in the analyzed language or is not
        // predicted.
        PartOfSpeech_RECIPROCITY_UNKNOWN PartOfSpeech_Reciprocity = 0
        // Reciprocal
        PartOfSpeech_RECIPROCAL PartOfSpeech_Reciprocity = 1
        // Non-reciprocal
        PartOfSpeech_NON_RECIPROCAL PartOfSpeech_Reciprocity = 2
)

var PartOfSpeech_Reciprocity_name = map[int32]string{
        0: "RECIPROCITY_UNKNOWN",
        1: "RECIPROCAL",
        2: "NON_RECIPROCAL",
}
var PartOfSpeech_Reciprocity_value = map[string]int32{
        "RECIPROCITY_UNKNOWN": 0,
        "RECIPROCAL":          1,
        "NON_RECIPROCAL":      2,
}

func (x PartOfSpeech_Reciprocity) String() string {
        return proto.EnumName(PartOfSpeech_Reciprocity_name, int32(x))
}
func (PartOfSpeech_Reciprocity) EnumDescriptor() ([]byte, []int) { return fileDescriptor0, []int{5, 9} }

// Time reference.
type PartOfSpeech_Tense int32

const (
        // Tense is not applicable in the analyzed language or is not predicted.
        PartOfSpeech_TENSE_UNKNOWN PartOfSpeech_Tense = 0
        // Conditional
        PartOfSpeech_CONDITIONAL_TENSE PartOfSpeech_Tense = 1
        // Future
        PartOfSpeech_FUTURE PartOfSpeech_Tense = 2
        // Past
        PartOfSpeech_PAST PartOfSpeech_Tense = 3
        // Present
        PartOfSpeech_PRESENT PartOfSpeech_Tense = 4
        // Imperfect
        PartOfSpeech_IMPERFECT PartOfSpeech_Tense = 5
        // Pluperfect
        PartOfSpeech_PLUPERFECT PartOfSpeech_Tense = 6
)

var PartOfSpeech_Tense_name = map[int32]string{
        0: "TENSE_UNKNOWN",
        1: "CONDITIONAL_TENSE",
        2: "FUTURE",
        3: "PAST",
        4: "PRESENT",
        5: "IMPERFECT",
        6: "PLUPERFECT",
}
var PartOfSpeech_Tense_value = map[string]int32{
        "TENSE_UNKNOWN":     0,
        "CONDITIONAL_TENSE": 1,
        "FUTURE":            2,
        "PAST":              3,
        "PRESENT":           4,
        "IMPERFECT":         5,
        "PLUPERFECT":        6,
}

func (x PartOfSpeech_Tense) String() string {
        return proto.EnumName(PartOfSpeech_Tense_name, int32(x))
}
func (PartOfSpeech_Tense) EnumDescriptor() ([]byte, []int) { return fileDescriptor0, []int{5, 10} }

// The relationship between the action that a verb expresses and the
// participants identified by its arguments.
type PartOfSpeech_Voice int32

const (
        // Voice is not applicable in the analyzed language or is not predicted.
        PartOfSpeech_VOICE_UNKNOWN PartOfSpeech_Voice = 0
        // Active
        PartOfSpeech_ACTIVE PartOfSpeech_Voice = 1
        // Causative
        PartOfSpeech_CAUSATIVE PartOfSpeech_Voice = 2
        // Passive
        PartOfSpeech_PASSIVE PartOfSpeech_Voice = 3
)

var PartOfSpeech_Voice_name = map[int32]string{
        0: "VOICE_UNKNOWN",
        1: "ACTIVE",
        2: "CAUSATIVE",
        3: "PASSIVE",
}
var PartOfSpeech_Voice_value = map[string]int32{
        "VOICE_UNKNOWN": 0,
        "ACTIVE":        1,
        "CAUSATIVE":     2,
        "PASSIVE":       3,
}

func (x PartOfSpeech_Voice) String() string {
        return proto.EnumName(PartOfSpeech_Voice_name, int32(x))
}
func (PartOfSpeech_Voice) EnumDescriptor() ([]byte, []int) { return fileDescriptor0, []int{5, 11} }

// The parse label enum for the token.
type DependencyEdge_Label int32

const (
        // Unknown
        DependencyEdge_UNKNOWN DependencyEdge_Label = 0
        // Abbreviation modifier
        DependencyEdge_ABBREV DependencyEdge_Label = 1
        // Adjectival complement
        DependencyEdge_ACOMP DependencyEdge_Label = 2
        // Adverbial clause modifier
        DependencyEdge_ADVCL DependencyEdge_Label = 3
        // Adverbial modifier
        DependencyEdge_ADVMOD DependencyEdge_Label = 4
        // Adjectival modifier of an NP
        DependencyEdge_AMOD DependencyEdge_Label = 5
        // Appositional modifier of an NP
        DependencyEdge_APPOS DependencyEdge_Label = 6
        // Attribute dependent of a copular verb
        DependencyEdge_ATTR DependencyEdge_Label = 7
        // Auxiliary (non-main) verb
        DependencyEdge_AUX DependencyEdge_Label = 8
        // Passive auxiliary
        DependencyEdge_AUXPASS DependencyEdge_Label = 9
        // Coordinating conjunction
        DependencyEdge_CC DependencyEdge_Label = 10
        // Clausal complement of a verb or adjective
        DependencyEdge_CCOMP DependencyEdge_Label = 11
        // Conjunct
        DependencyEdge_CONJ DependencyEdge_Label = 12
        // Clausal subject
        DependencyEdge_CSUBJ DependencyEdge_Label = 13
        // Clausal passive subject
        DependencyEdge_CSUBJPASS DependencyEdge_Label = 14
        // Dependency (unable to determine)
        DependencyEdge_DEP DependencyEdge_Label = 15
        // Determiner
        DependencyEdge_DET DependencyEdge_Label = 16
        // Discourse
        DependencyEdge_DISCOURSE DependencyEdge_Label = 17
        // Direct object
        DependencyEdge_DOBJ DependencyEdge_Label = 18
        // Expletive
        DependencyEdge_EXPL DependencyEdge_Label = 19
        // Goes with (part of a word in a text not well edited)
        DependencyEdge_GOESWITH DependencyEdge_Label = 20
        // Indirect object
        DependencyEdge_IOBJ DependencyEdge_Label = 21
        // Marker (word introducing a subordinate clause)
        DependencyEdge_MARK DependencyEdge_Label = 22
        // Multi-word expression
        DependencyEdge_MWE DependencyEdge_Label = 23
        // Multi-word verbal expression
        DependencyEdge_MWV DependencyEdge_Label = 24
        // Negation modifier
        DependencyEdge_NEG DependencyEdge_Label = 25
        // Noun compound modifier
        DependencyEdge_NN DependencyEdge_Label = 26
        // Noun phrase used as an adverbial modifier
        DependencyEdge_NPADVMOD DependencyEdge_Label = 27
        // Nominal subject
        DependencyEdge_NSUBJ DependencyEdge_Label = 28
        // Passive nominal subject
        DependencyEdge_NSUBJPASS DependencyEdge_Label = 29
        // Numeric modifier of a noun
        DependencyEdge_NUM DependencyEdge_Label = 30
        // Element of compound number
        DependencyEdge_NUMBER DependencyEdge_Label = 31
        // Punctuation mark
        DependencyEdge_P DependencyEdge_Label = 32
        // Parataxis relation
        DependencyEdge_PARATAXIS DependencyEdge_Label = 33
        // Participial modifier
        DependencyEdge_PARTMOD DependencyEdge_Label = 34
        // The complement of a preposition is a clause
        DependencyEdge_PCOMP DependencyEdge_Label = 35
        // Object of a preposition
        DependencyEdge_POBJ DependencyEdge_Label = 36
        // Possession modifier
        DependencyEdge_POSS DependencyEdge_Label = 37
        // Postverbal negative particle
        DependencyEdge_POSTNEG DependencyEdge_Label = 38
        // Predicate complement
        DependencyEdge_PRECOMP DependencyEdge_Label = 39
        // Preconjunt
        DependencyEdge_PRECONJ DependencyEdge_Label = 40
        // Predeterminer
        DependencyEdge_PREDET DependencyEdge_Label = 41
        // Prefix
        DependencyEdge_PREF DependencyEdge_Label = 42
        // Prepositional modifier
        DependencyEdge_PREP DependencyEdge_Label = 43
        // The relationship between a verb and verbal morpheme
        DependencyEdge_PRONL DependencyEdge_Label = 44
        // Particle
        DependencyEdge_PRT DependencyEdge_Label = 45
        // Associative or possessive marker
        DependencyEdge_PS DependencyEdge_Label = 46
        // Quantifier phrase modifier
        DependencyEdge_QUANTMOD DependencyEdge_Label = 47
        // Relative clause modifier
        DependencyEdge_RCMOD DependencyEdge_Label = 48
        // Complementizer in relative clause
        DependencyEdge_RCMODREL DependencyEdge_Label = 49
        // Ellipsis without a preceding predicate
        DependencyEdge_RDROP DependencyEdge_Label = 50
        // Referent
        DependencyEdge_REF DependencyEdge_Label = 51
        // Remnant
        DependencyEdge_REMNANT DependencyEdge_Label = 52
        // Reparandum
        DependencyEdge_REPARANDUM DependencyEdge_Label = 53
        // Root
        DependencyEdge_ROOT DependencyEdge_Label = 54
        // Suffix specifying a unit of number
        DependencyEdge_SNUM DependencyEdge_Label = 55
        // Suffix
        DependencyEdge_SUFF DependencyEdge_Label = 56
        // Temporal modifier
        DependencyEdge_TMOD DependencyEdge_Label = 57
        // Topic marker
        DependencyEdge_TOPIC DependencyEdge_Label = 58
        // Clause headed by an infinite form of the verb that modifies a noun
        DependencyEdge_VMOD DependencyEdge_Label = 59
        // Vocative
        DependencyEdge_VOCATIVE DependencyEdge_Label = 60
        // Open clausal complement
        DependencyEdge_XCOMP DependencyEdge_Label = 61
        // Name suffix
        DependencyEdge_SUFFIX DependencyEdge_Label = 62
        // Name title
        DependencyEdge_TITLE DependencyEdge_Label = 63
        // Adverbial phrase modifier
        DependencyEdge_ADVPHMOD DependencyEdge_Label = 64
        // Causative auxiliary
        DependencyEdge_AUXCAUS DependencyEdge_Label = 65
        // Helper auxiliary
        DependencyEdge_AUXVV DependencyEdge_Label = 66
        // Rentaishi (Prenominal modifier)
        DependencyEdge_DTMOD DependencyEdge_Label = 67
        // Foreign words
        DependencyEdge_FOREIGN DependencyEdge_Label = 68
        // Keyword
        DependencyEdge_KW DependencyEdge_Label = 69
        // List for chains of comparable items
        DependencyEdge_LIST DependencyEdge_Label = 70
        // Nominalized clause
        DependencyEdge_NOMC DependencyEdge_Label = 71
        // Nominalized clausal subject
        DependencyEdge_NOMCSUBJ DependencyEdge_Label = 72
        // Nominalized clausal passive
        DependencyEdge_NOMCSUBJPASS DependencyEdge_Label = 73
        // Compound of numeric modifier
        DependencyEdge_NUMC DependencyEdge_Label = 74
        // Copula
        DependencyEdge_COP DependencyEdge_Label = 75
        // Dislocated relation (for fronted/topicalized elements)
        DependencyEdge_DISLOCATED DependencyEdge_Label = 76
)

var DependencyEdge_Label_name = map[int32]string{
        0:  "UNKNOWN",
        1:  "ABBREV",
        2:  "ACOMP",
        3:  "ADVCL",
        4:  "ADVMOD",
        5:  "AMOD",
        6:  "APPOS",
        7:  "ATTR",
        8:  "AUX",
        9:  "AUXPASS",
        10: "CC",
        11: "CCOMP",
        12: "CONJ",
        13: "CSUBJ",
        14: "CSUBJPASS",
        15: "DEP",
        16: "DET",
        17: "DISCOURSE",
        18: "DOBJ",
        19: "EXPL",
        20: "GOESWITH",
        21: "IOBJ",
        22: "MARK",
        23: "MWE",
        24: "MWV",
        25: "NEG",
        26: "NN",
        27: "NPADVMOD",
        28: "NSUBJ",
        29: "NSUBJPASS",
        30: "NUM",
        31: "NUMBER",
        32: "P",
        33: "PARATAXIS",
        34: "PARTMOD",
        35: "PCOMP",
        36: "POBJ",
        37: "POSS",
        38: "POSTNEG",
        39: "PRECOMP",
        40: "PRECONJ",
        41: "PREDET",
        42: "PREF",
        43: "PREP",
        44: "PRONL",
        45: "PRT",
        46: "PS",
        47: "QUANTMOD",
        48: "RCMOD",
        49: "RCMODREL",
        50: "RDROP",
        51: "REF",
        52: "REMNANT",
        53: "REPARANDUM",
        54: "ROOT",
        55: "SNUM",
        56: "SUFF",
        57: "TMOD",
        58: "TOPIC",
        59: "VMOD",
        60: "VOCATIVE",
        61: "XCOMP",
        62: "SUFFIX",
        63: "TITLE",
        64: "ADVPHMOD",
        65: "AUXCAUS",
        66: "AUXVV",
        67: "DTMOD",
        68: "FOREIGN",
        69: "KW",
        70: "LIST",
        71: "NOMC",
        72: "NOMCSUBJ",
        73: "NOMCSUBJPASS",
        74: "NUMC",
        75: "COP",
        76: "DISLOCATED",
}
var DependencyEdge_Label_value = map[string]int32{
        "UNKNOWN":      0,
        "ABBREV":       1,
        "ACOMP":        2,
        "ADVCL":        3,
        "ADVMOD":       4,
        "AMOD":         5,
        "APPOS":        6,
        "ATTR":         7,
        "AUX":          8,
        "AUXPASS":      9,
        "CC":           10,
        "CCOMP":        11,
        "CONJ":         12,
        "CSUBJ":        13,
        "CSUBJPASS":    14,
        "DEP":          15,
        "DET":          16,
        "DISCOURSE":    17,
        "DOBJ":         18,
        "EXPL":         19,
        "GOESWITH":     20,
        "IOBJ":         21,
        "MARK":         22,
        "MWE":          23,
        "MWV":          24,
        "NEG":          25,
        "NN":           26,
        "NPADVMOD":     27,
        "NSUBJ":        28,
        "NSUBJPASS":    29,
        "NUM":          30,
        "NUMBER":       31,
        "P":            32,
        "PARATAXIS":    33,
        "PARTMOD":      34,
        "PCOMP":        35,
        "POBJ":         36,
        "POSS":         37,
        "POSTNEG":      38,
        "PRECOMP":      39,
        "PRECONJ":      40,
        "PREDET":       41,
        "PREF":         42,
        "PREP":         43,
        "PRONL":        44,
        "PRT":          45,
        "PS":           46,
        "QUANTMOD":     47,
        "RCMOD":        48,
        "RCMODREL":     49,
        "RDROP":        50,
        "REF":          51,
        "REMNANT":      52,
        "REPARANDUM":   53,
        "ROOT":         54,
        "SNUM":         55,
        "SUFF":         56,
        "TMOD":         57,
        "TOPIC":        58,
        "VMOD":         59,
        "VOCATIVE":     60,
        "XCOMP":        61,
        "SUFFIX":       62,
        "TITLE":        63,
        "ADVPHMOD":     64,
        "AUXCAUS":      65,
        "AUXVV":        66,
        "DTMOD":        67,
        "FOREIGN":      68,
        "KW":           69,
        "LIST":         70,
        "NOMC":         71,
        "NOMCSUBJ":     72,
        "NOMCSUBJPASS": 73,
        "NUMC":         74,
        "COP":          75,
        "DISLOCATED":   76,
}

func (x DependencyEdge_Label) String() string {
        return proto.EnumName(DependencyEdge_Label_name, int32(x))
}
func (DependencyEdge_Label) EnumDescriptor() ([]byte, []int) { return fileDescriptor0, []int{6, 0} }

// The supported types of mentions.
type EntityMention_Type int32

const (
        // Unknown
        EntityMention_TYPE_UNKNOWN EntityMention_Type = 0
        // Proper name
        EntityMention_PROPER EntityMention_Type = 1
        // Common noun (or noun compound)
        EntityMention_COMMON EntityMention_Type = 2
)

var EntityMention_Type_name = map[int32]string{
        0: "TYPE_UNKNOWN",
        1: "PROPER",
        2: "COMMON",
}
var EntityMention_Type_value = map[string]int32{
        "TYPE_UNKNOWN": 0,
        "PROPER":       1,
        "COMMON":       2,
}

func (x EntityMention_Type) String() string {
        return proto.EnumName(EntityMention_Type_name, int32(x))
}
func (EntityMention_Type) EnumDescriptor() ([]byte, []int) { return fileDescriptor0, []int{7, 0} }

// ################################################################ #
//
// Represents the input to API methods.
type Document struct {
        // Required. If the type is not set or is `TYPE_UNSPECIFIED`,
        // returns an `INVALID_ARGUMENT` error.
        Type Document_Type `protobuf:"varint,1,opt,name=type,enum=google.cloud.language.v1.Document_Type" json:"type,omitempty"`
        // The source of the document: a string containing the content or a
        // Google Cloud Storage URI.
        //
        // Types that are valid to be assigned to Source:
        //      *Document_Content
        //      *Document_GcsContentUri
        Source isDocument_Source `protobuf_oneof:"source"`
        // The language of the document (if not specified, the language is
        // automatically detected). Both ISO and BCP-47 language codes are
        // accepted.<br>
        // [Language Support](https://cloud.google.com/natural-language/docs/languages)
        // lists currently supported languages for each API method.
        // If the language (either specified by the caller or automatically detected)
        // is not supported by the called API method, an `INVALID_ARGUMENT` error
        // is returned.
        Language string `protobuf:"bytes,4,opt,name=language" json:"language,omitempty"`
}

func (m *Document) Reset()                    { *m = Document{} }
func (m *Document) String() string            { return proto.CompactTextString(m) }
func (*Document) ProtoMessage()               {}
func (*Document) Descriptor() ([]byte, []int) { return fileDescriptor0, []int{0} }

type isDocument_Source interface {
        isDocument_Source()
}

type Document_Content struct {
        Content string `protobuf:"bytes,2,opt,name=content,oneof"`
}
type Document_GcsContentUri struct {
        GcsContentUri string `protobuf:"bytes,3,opt,name=gcs_content_uri,json=gcsContentUri,oneof"`
}

func (*Document_Content) isDocument_Source()       {}
func (*Document_GcsContentUri) isDocument_Source() {}

func (m *Document) GetSource() isDocument_Source {
        if m != nil {
                return m.Source
        }
        return nil
}

func (m *Document) GetType() Document_Type {
        if m != nil {
                return m.Type
        }
        return Document_TYPE_UNSPECIFIED
}

func (m *Document) GetContent() string {
        if x, ok := m.GetSource().(*Document_Content); ok {
                return x.Content
        }
        return ""
}

func (m *Document) GetGcsContentUri() string {
        if x, ok := m.GetSource().(*Document_GcsContentUri); ok {
                return x.GcsContentUri
        }
        return ""
}

func (m *Document) GetLanguage() string {
        if m != nil {
                return m.Language
        }
        return ""
}

// XXX_OneofFuncs is for the internal use of the proto package.
func (*Document) XXX_OneofFuncs() (func(msg proto.Message, b *proto.Buffer) error, func(msg proto.Message, tag, wire int, b *proto.Buffer) (bool, error), func(msg proto.Message) (n int), []interface{}) {
        return _Document_OneofMarshaler, _Document_OneofUnmarshaler, _Document_OneofSizer, []interface{}{
                (*Document_Content)(nil),
                (*Document_GcsContentUri)(nil),
        }
}

func _Document_OneofMarshaler(msg proto.Message, b *proto.Buffer) error {
        m := msg.(*Document)
        // source
        switch x := m.Source.(type) {
        case *Document_Content:
                b.EncodeVarint(2<<3 | proto.WireBytes)
                b.EncodeStringBytes(x.Content)
        case *Document_GcsContentUri:
                b.EncodeVarint(3<<3 | proto.WireBytes)
                b.EncodeStringBytes(x.GcsContentUri)
        case nil:
        default:
                return fmt.Errorf("Document.Source has unexpected type %T", x)
        }
        return nil
}

func _Document_OneofUnmarshaler(msg proto.Message, tag, wire int, b *proto.Buffer) (bool, error) {
        m := msg.(*Document)
        switch tag {
        case 2: // source.content
                if wire != proto.WireBytes {
                        return true, proto.ErrInternalBadWireType
                }
                x, err := b.DecodeStringBytes()
                m.Source = &Document_Content{x}
                return true, err
        case 3: // source.gcs_content_uri
                if wire != proto.WireBytes {
                        return true, proto.ErrInternalBadWireType
                }
                x, err := b.DecodeStringBytes()
                m.Source = &Document_GcsContentUri{x}
                return true, err
        default:
                return false, nil
        }
}

func _Document_OneofSizer(msg proto.Message) (n int) {
        m := msg.(*Document)
        // source
        switch x := m.Source.(type) {
        case *Document_Content:
                n += proto.SizeVarint(2<<3 | proto.WireBytes)
                n += proto.SizeVarint(uint64(len(x.Content)))
                n += len(x.Content)
        case *Document_GcsContentUri:
                n += proto.SizeVarint(3<<3 | proto.WireBytes)
                n += proto.SizeVarint(uint64(len(x.GcsContentUri)))
                n += len(x.GcsContentUri)
        case nil:
        default:
                panic(fmt.Sprintf("proto: unexpected type %T in oneof", x))
        }
        return n
}

// Represents a sentence in the input document.
type Sentence struct {
        // The sentence text.
        Text *TextSpan `protobuf:"bytes,1,opt,name=text" json:"text,omitempty"`
        // For calls to [AnalyzeSentiment][] or if
        // [AnnotateTextRequest.Features.extract_document_sentiment][google.cloud.language.v1.AnnotateTextRequest.Features.extract_document_sentiment] is set to
        // true, this field will contain the sentiment for the sentence.
        Sentiment *Sentiment `protobuf:"bytes,2,opt,name=sentiment" json:"sentiment,omitempty"`
}

func (m *Sentence) Reset()                    { *m = Sentence{} }
func (m *Sentence) String() string            { return proto.CompactTextString(m) }
func (*Sentence) ProtoMessage()               {}
func (*Sentence) Descriptor() ([]byte, []int) { return fileDescriptor0, []int{1} }

func (m *Sentence) GetText() *TextSpan {
        if m != nil {
                return m.Text
        }
        return nil
}

func (m *Sentence) GetSentiment() *Sentiment {
        if m != nil {
                return m.Sentiment
        }
        return nil
}

// Represents a phrase in the text that is a known entity, such as
// a person, an organization, or location. The API associates information, such
// as salience and mentions, with entities.
type Entity struct {
        // The representative name for the entity.
        Name string `protobuf:"bytes,1,opt,name=name" json:"name,omitempty"`
        // The entity type.
        Type Entity_Type `protobuf:"varint,2,opt,name=type,enum=google.cloud.language.v1.Entity_Type" json:"type,omitempty"`
        // Metadata associated with the entity.
        //
        // Currently, Wikipedia URLs and Knowledge Graph MIDs are provided, if
        // available. The associated keys are "wikipedia_url" and "mid", respectively.
        Metadata map[string]string `protobuf:"bytes,3,rep,name=metadata" json:"metadata,omitempty" protobuf_key:"bytes,1,opt,name=key" protobuf_val:"bytes,2,opt,name=value"`
        // The salience score associated with the entity in the [0, 1.0] range.
        //
        // The salience score for an entity provides information about the
        // importance or centrality of that entity to the entire document text.
        // Scores closer to 0 are less salient, while scores closer to 1.0 are highly
        // salient.
        Salience float32 `protobuf:"fixed32,4,opt,name=salience" json:"salience,omitempty"`
        // The mentions of this entity in the input document. The API currently
        // supports proper noun mentions.
        Mentions []*EntityMention `protobuf:"bytes,5,rep,name=mentions" json:"mentions,omitempty"`
}

func (m *Entity) Reset()                    { *m = Entity{} }
func (m *Entity) String() string            { return proto.CompactTextString(m) }
func (*Entity) ProtoMessage()               {}
func (*Entity) Descriptor() ([]byte, []int) { return fileDescriptor0, []int{2} }

func (m *Entity) GetName() string {
        if m != nil {
                return m.Name
        }
        return ""
}

func (m *Entity) GetType() Entity_Type {
        if m != nil {
                return m.Type
        }
        return Entity_UNKNOWN
}

func (m *Entity) GetMetadata() map[string]string {
        if m != nil {
                return m.Metadata
        }
        return nil
}

func (m *Entity) GetSalience() float32 {
        if m != nil {
                return m.Salience
        }
        return 0
}

func (m *Entity) GetMentions() []*EntityMention {
        if m != nil {
                return m.Mentions
        }
        return nil
}

// Represents the smallest syntactic building block of the text.
type Token struct {
        // The token text.
        Text *TextSpan `protobuf:"bytes,1,opt,name=text" json:"text,omitempty"`
        // Parts of speech tag for this token.
        PartOfSpeech *PartOfSpeech `protobuf:"bytes,2,opt,name=part_of_speech,json=partOfSpeech" json:"part_of_speech,omitempty"`
        // Dependency tree parse for this token.
        DependencyEdge *DependencyEdge `protobuf:"bytes,3,opt,name=dependency_edge,json=dependencyEdge" json:"dependency_edge,omitempty"`
        // [Lemma](https://en.wikipedia.org/wiki/Lemma_%28morphology%29) of the token.
        Lemma string `protobuf:"bytes,4,opt,name=lemma" json:"lemma,omitempty"`
}

func (m *Token) Reset()                    { *m = Token{} }
func (m *Token) String() string            { return proto.CompactTextString(m) }
func (*Token) ProtoMessage()               {}
func (*Token) Descriptor() ([]byte, []int) { return fileDescriptor0, []int{3} }

func (m *Token) GetText() *TextSpan {
        if m != nil {
                return m.Text
        }
        return nil
}

func (m *Token) GetPartOfSpeech() *PartOfSpeech {
        if m != nil {
                return m.PartOfSpeech
        }
        return nil
}

func (m *Token) GetDependencyEdge() *DependencyEdge {
        if m != nil {
                return m.DependencyEdge
        }
        return nil
}

func (m *Token) GetLemma() string {
        if m != nil {
                return m.Lemma
        }
        return ""
}

// Represents the feeling associated with the entire text or entities in
// the text.
type Sentiment struct {
        // A non-negative number in the [0, +inf) range, which represents
        // the absolute magnitude of sentiment regardless of score (positive or
        // negative).
        Magnitude float32 `protobuf:"fixed32,2,opt,name=magnitude" json:"magnitude,omitempty"`
        // Sentiment score between -1.0 (negative sentiment) and 1.0
        // (positive sentiment).
        Score float32 `protobuf:"fixed32,3,opt,name=score" json:"score,omitempty"`
}

func (m *Sentiment) Reset()                    { *m = Sentiment{} }
func (m *Sentiment) String() string            { return proto.CompactTextString(m) }
func (*Sentiment) ProtoMessage()               {}
func (*Sentiment) Descriptor() ([]byte, []int) { return fileDescriptor0, []int{4} }

func (m *Sentiment) GetMagnitude() float32 {
        if m != nil {
                return m.Magnitude
        }
        return 0
}

func (m *Sentiment) GetScore() float32 {
        if m != nil {
                return m.Score
        }
        return 0
}

// Represents part of speech information for a token. Parts of speech
// are as defined in
// http://www.lrec-conf.org/proceedings/lrec2012/pdf/274_Paper.pdf
type PartOfSpeech struct {
        // The part of speech tag.
        Tag PartOfSpeech_Tag `protobuf:"varint,1,opt,name=tag,enum=google.cloud.language.v1.PartOfSpeech_Tag" json:"tag,omitempty"`
        // The grammatical aspect.
        Aspect PartOfSpeech_Aspect `protobuf:"varint,2,opt,name=aspect,enum=google.cloud.language.v1.PartOfSpeech_Aspect" json:"aspect,omitempty"`
        // The grammatical case.
        Case PartOfSpeech_Case `protobuf:"varint,3,opt,name=case,enum=google.cloud.language.v1.PartOfSpeech_Case" json:"case,omitempty"`
        // The grammatical form.
        Form PartOfSpeech_Form `protobuf:"varint,4,opt,name=form,enum=google.cloud.language.v1.PartOfSpeech_Form" json:"form,omitempty"`
        // The grammatical gender.
        Gender PartOfSpeech_Gender `protobuf:"varint,5,opt,name=gender,enum=google.cloud.language.v1.PartOfSpeech_Gender" json:"gender,omitempty"`
        // The grammatical mood.
        Mood PartOfSpeech_Mood `protobuf:"varint,6,opt,name=mood,enum=google.cloud.language.v1.PartOfSpeech_Mood" json:"mood,omitempty"`
        // The grammatical number.
        Number PartOfSpeech_Number `protobuf:"varint,7,opt,name=number,enum=google.cloud.language.v1.PartOfSpeech_Number" json:"number,omitempty"`
        // The grammatical person.
        Person PartOfSpeech_Person `protobuf:"varint,8,opt,name=person,enum=google.cloud.language.v1.PartOfSpeech_Person" json:"person,omitempty"`
        // The grammatical properness.
        Proper PartOfSpeech_Proper `protobuf:"varint,9,opt,name=proper,enum=google.cloud.language.v1.PartOfSpeech_Proper" json:"proper,omitempty"`
        // The grammatical reciprocity.
        Reciprocity PartOfSpeech_Reciprocity `protobuf:"varint,10,opt,name=reciprocity,enum=google.cloud.language.v1.PartOfSpeech_Reciprocity" json:"reciprocity,omitempty"`
        // The grammatical tense.
        Tense PartOfSpeech_Tense `protobuf:"varint,11,opt,name=tense,enum=google.cloud.language.v1.PartOfSpeech_Tense" json:"tense,omitempty"`
        // The grammatical voice.
        Voice PartOfSpeech_Voice `protobuf:"varint,12,opt,name=voice,enum=google.cloud.language.v1.PartOfSpeech_Voice" json:"voice,omitempty"`
}

func (m *PartOfSpeech) Reset()                    { *m = PartOfSpeech{} }
func (m *PartOfSpeech) String() string            { return proto.CompactTextString(m) }
func (*PartOfSpeech) ProtoMessage()               {}
func (*PartOfSpeech) Descriptor() ([]byte, []int) { return fileDescriptor0, []int{5} }

func (m *PartOfSpeech) GetTag() PartOfSpeech_Tag {
        if m != nil {
                return m.Tag
        }
        return PartOfSpeech_UNKNOWN
}

func (m *PartOfSpeech) GetAspect() PartOfSpeech_Aspect {
        if m != nil {
                return m.Aspect
        }
        return PartOfSpeech_ASPECT_UNKNOWN
}

func (m *PartOfSpeech) GetCase() PartOfSpeech_Case {
        if m != nil {
                return m.Case
        }
        return PartOfSpeech_CASE_UNKNOWN
}

func (m *PartOfSpeech) GetForm() PartOfSpeech_Form {
        if m != nil {
                return m.Form
        }
        return PartOfSpeech_FORM_UNKNOWN
}

func (m *PartOfSpeech) GetGender() PartOfSpeech_Gender {
        if m != nil {
                return m.Gender
        }
        return PartOfSpeech_GENDER_UNKNOWN
}

func (m *PartOfSpeech) GetMood() PartOfSpeech_Mood {
        if m != nil {
                return m.Mood
        }
        return PartOfSpeech_MOOD_UNKNOWN
}

func (m *PartOfSpeech) GetNumber() PartOfSpeech_Number {
        if m != nil {
                return m.Number
        }
        return PartOfSpeech_NUMBER_UNKNOWN
}

func (m *PartOfSpeech) GetPerson() PartOfSpeech_Person {
        if m != nil {
                return m.Person
        }
        return PartOfSpeech_PERSON_UNKNOWN
}

func (m *PartOfSpeech) GetProper() PartOfSpeech_Proper {
        if m != nil {
                return m.Proper
        }
        return PartOfSpeech_PROPER_UNKNOWN
}

func (m *PartOfSpeech) GetReciprocity() PartOfSpeech_Reciprocity {
        if m != nil {
                return m.Reciprocity
        }
        return PartOfSpeech_RECIPROCITY_UNKNOWN
}

func (m *PartOfSpeech) GetTense() PartOfSpeech_Tense {
        if m != nil {
                return m.Tense
        }
        return PartOfSpeech_TENSE_UNKNOWN
}

func (m *PartOfSpeech) GetVoice() PartOfSpeech_Voice {
        if m != nil {
                return m.Voice
        }
        return PartOfSpeech_VOICE_UNKNOWN
}

// Represents dependency parse tree information for a token. (For more
// information on dependency labels, see
// http://www.aclweb.org/anthology/P13-2017
type DependencyEdge struct {
        // Represents the head of this token in the dependency tree.
        // This is the index of the token which has an arc going to this token.
        // The index is the position of the token in the array of tokens returned
        // by the API method. If this token is a root token, then the
        // `head_token_index` is its own index.
        HeadTokenIndex int32 `protobuf:"varint,1,opt,name=head_token_index,json=headTokenIndex" json:"head_token_index,omitempty"`
        // The parse label for the token.
        Label DependencyEdge_Label `protobuf:"varint,2,opt,name=label,enum=google.cloud.language.v1.DependencyEdge_Label" json:"label,omitempty"`
}

func (m *DependencyEdge) Reset()                    { *m = DependencyEdge{} }
func (m *DependencyEdge) String() string            { return proto.CompactTextString(m) }
func (*DependencyEdge) ProtoMessage()               {}
func (*DependencyEdge) Descriptor() ([]byte, []int) { return fileDescriptor0, []int{6} }

func (m *DependencyEdge) GetHeadTokenIndex() int32 {
        if m != nil {
                return m.HeadTokenIndex
        }
        return 0
}

func (m *DependencyEdge) GetLabel() DependencyEdge_Label {
        if m != nil {
                return m.Label
        }
        return DependencyEdge_UNKNOWN
}

// Represents a mention for an entity in the text. Currently, proper noun
// mentions are supported.
type EntityMention struct {
        // The mention text.
        Text *TextSpan `protobuf:"bytes,1,opt,name=text" json:"text,omitempty"`
        // The type of the entity mention.
        Type EntityMention_Type `protobuf:"varint,2,opt,name=type,enum=google.cloud.language.v1.EntityMention_Type" json:"type,omitempty"`
}

func (m *EntityMention) Reset()                    { *m = EntityMention{} }
func (m *EntityMention) String() string            { return proto.CompactTextString(m) }
func (*EntityMention) ProtoMessage()               {}
func (*EntityMention) Descriptor() ([]byte, []int) { return fileDescriptor0, []int{7} }

func (m *EntityMention) GetText() *TextSpan {
        if m != nil {
                return m.Text
        }
        return nil
}

func (m *EntityMention) GetType() EntityMention_Type {
        if m != nil {
                return m.Type
        }
        return EntityMention_TYPE_UNKNOWN
}

// Represents an output piece of text.
type TextSpan struct {
        // The content of the output text.
        Content string `protobuf:"bytes,1,opt,name=content" json:"content,omitempty"`
        // The API calculates the beginning offset of the content in the original
        // document according to the [EncodingType][google.cloud.language.v1.EncodingType] specified in the API request.
        BeginOffset int32 `protobuf:"varint,2,opt,name=begin_offset,json=beginOffset" json:"begin_offset,omitempty"`
}

func (m *TextSpan) Reset()                    { *m = TextSpan{} }
func (m *TextSpan) String() string            { return proto.CompactTextString(m) }
func (*TextSpan) ProtoMessage()               {}
func (*TextSpan) Descriptor() ([]byte, []int) { return fileDescriptor0, []int{8} }

func (m *TextSpan) GetContent() string {
        if m != nil {
                return m.Content
        }
        return ""
}

func (m *TextSpan) GetBeginOffset() int32 {
        if m != nil {
                return m.BeginOffset
        }
        return 0
}

// The sentiment analysis request message.
type AnalyzeSentimentRequest struct {
        // Input document.
        Document *Document `protobuf:"bytes,1,opt,name=document" json:"document,omitempty"`
        // The encoding type used by the API to calculate sentence offsets.
        EncodingType EncodingType `protobuf:"varint,2,opt,name=encoding_type,json=encodingType,enum=google.cloud.language.v1.EncodingType" json:"encoding_type,omitempty"`
}

func (m *AnalyzeSentimentRequest) Reset()                    { *m = AnalyzeSentimentRequest{} }
func (m *AnalyzeSentimentRequest) String() string            { return proto.CompactTextString(m) }
func (*AnalyzeSentimentRequest) ProtoMessage()               {}
func (*AnalyzeSentimentRequest) Descriptor() ([]byte, []int) { return fileDescriptor0, []int{9} }

func (m *AnalyzeSentimentRequest) GetDocument() *Document {
        if m != nil {
                return m.Document
        }
        return nil
}

func (m *AnalyzeSentimentRequest) GetEncodingType() EncodingType {
        if m != nil {
                return m.EncodingType
        }
        return EncodingType_NONE
}

// The sentiment analysis response message.
type AnalyzeSentimentResponse struct {
        // The overall sentiment of the input document.
        DocumentSentiment *Sentiment `protobuf:"bytes,1,opt,name=document_sentiment,json=documentSentiment" json:"document_sentiment,omitempty"`
        // The language of the text, which will be the same as the language specified
        // in the request or, if not specified, the automatically-detected language.
        // See [Document.language][google.cloud.language.v1.Document.language] field for more details.
        Language string `protobuf:"bytes,2,opt,name=language" json:"language,omitempty"`
        // The sentiment for all the sentences in the document.
        Sentences []*Sentence `protobuf:"bytes,3,rep,name=sentences" json:"sentences,omitempty"`
}

func (m *AnalyzeSentimentResponse) Reset()                    { *m = AnalyzeSentimentResponse{} }
func (m *AnalyzeSentimentResponse) String() string            { return proto.CompactTextString(m) }
func (*AnalyzeSentimentResponse) ProtoMessage()               {}
func (*AnalyzeSentimentResponse) Descriptor() ([]byte, []int) { return fileDescriptor0, []int{10} }

func (m *AnalyzeSentimentResponse) GetDocumentSentiment() *Sentiment {
        if m != nil {
                return m.DocumentSentiment
        }
        return nil
}

func (m *AnalyzeSentimentResponse) GetLanguage() string {
        if m != nil {
                return m.Language
        }
        return ""
}

func (m *AnalyzeSentimentResponse) GetSentences() []*Sentence {
        if m != nil {
                return m.Sentences
        }
        return nil
}

// The entity analysis request message.
type AnalyzeEntitiesRequest struct {
        // Input document.
        Document *Document `protobuf:"bytes,1,opt,name=document" json:"document,omitempty"`
        // The encoding type used by the API to calculate offsets.
        EncodingType EncodingType `protobuf:"varint,2,opt,name=encoding_type,json=encodingType,enum=google.cloud.language.v1.EncodingType" json:"encoding_type,omitempty"`
}

func (m *AnalyzeEntitiesRequest) Reset()                    { *m = AnalyzeEntitiesRequest{} }
func (m *AnalyzeEntitiesRequest) String() string            { return proto.CompactTextString(m) }
func (*AnalyzeEntitiesRequest) ProtoMessage()               {}
func (*AnalyzeEntitiesRequest) Descriptor() ([]byte, []int) { return fileDescriptor0, []int{11} }

func (m *AnalyzeEntitiesRequest) GetDocument() *Document {
        if m != nil {
                return m.Document
        }
        return nil
}

func (m *AnalyzeEntitiesRequest) GetEncodingType() EncodingType {
        if m != nil {
                return m.EncodingType
        }
        return EncodingType_NONE
}

// The entity analysis response message.
type AnalyzeEntitiesResponse struct {
        // The recognized entities in the input document.
        Entities []*Entity `protobuf:"bytes,1,rep,name=entities" json:"entities,omitempty"`
        // The language of the text, which will be the same as the language specified
        // in the request or, if not specified, the automatically-detected language.
        // See [Document.language][google.cloud.language.v1.Document.language] field for more details.
        Language string `protobuf:"bytes,2,opt,name=language" json:"language,omitempty"`
}

func (m *AnalyzeEntitiesResponse) Reset()                    { *m = AnalyzeEntitiesResponse{} }
func (m *AnalyzeEntitiesResponse) String() string            { return proto.CompactTextString(m) }
func (*AnalyzeEntitiesResponse) ProtoMessage()               {}
func (*AnalyzeEntitiesResponse) Descriptor() ([]byte, []int) { return fileDescriptor0, []int{12} }

func (m *AnalyzeEntitiesResponse) GetEntities() []*Entity {
        if m != nil {
                return m.Entities
        }
        return nil
}

func (m *AnalyzeEntitiesResponse) GetLanguage() string {
        if m != nil {
                return m.Language
        }
        return ""
}

// The syntax analysis request message.
type AnalyzeSyntaxRequest struct {
        // Input document.
        Document *Document `protobuf:"bytes,1,opt,name=document" json:"document,omitempty"`
        // The encoding type used by the API to calculate offsets.
        EncodingType EncodingType `protobuf:"varint,2,opt,name=encoding_type,json=encodingType,enum=google.cloud.language.v1.EncodingType" json:"encoding_type,omitempty"`
}

func (m *AnalyzeSyntaxRequest) Reset()                    { *m = AnalyzeSyntaxRequest{} }
func (m *AnalyzeSyntaxRequest) String() string            { return proto.CompactTextString(m) }
func (*AnalyzeSyntaxRequest) ProtoMessage()               {}
func (*AnalyzeSyntaxRequest) Descriptor() ([]byte, []int) { return fileDescriptor0, []int{13} }

func (m *AnalyzeSyntaxRequest) GetDocument() *Document {
        if m != nil {
                return m.Document
        }
        return nil
}

func (m *AnalyzeSyntaxRequest) GetEncodingType() EncodingType {
        if m != nil {
                return m.EncodingType
        }
        return EncodingType_NONE
}

// The syntax analysis response message.
type AnalyzeSyntaxResponse struct {
        // Sentences in the input document.
        Sentences []*Sentence `protobuf:"bytes,1,rep,name=sentences" json:"sentences,omitempty"`
        // Tokens, along with their syntactic information, in the input document.
        Tokens []*Token `protobuf:"bytes,2,rep,name=tokens" json:"tokens,omitempty"`
        // The language of the text, which will be the same as the language specified
        // in the request or, if not specified, the automatically-detected language.
        // See [Document.language][google.cloud.language.v1.Document.language] field for more details.
        Language string `protobuf:"bytes,3,opt,name=language" json:"language,omitempty"`
}

func (m *AnalyzeSyntaxResponse) Reset()                    { *m = AnalyzeSyntaxResponse{} }
func (m *AnalyzeSyntaxResponse) String() string            { return proto.CompactTextString(m) }
func (*AnalyzeSyntaxResponse) ProtoMessage()               {}
func (*AnalyzeSyntaxResponse) Descriptor() ([]byte, []int) { return fileDescriptor0, []int{14} }

func (m *AnalyzeSyntaxResponse) GetSentences() []*Sentence {
        if m != nil {
                return m.Sentences
        }
        return nil
}

func (m *AnalyzeSyntaxResponse) GetTokens() []*Token {
        if m != nil {
                return m.Tokens
        }
        return nil
}

func (m *AnalyzeSyntaxResponse) GetLanguage() string {
        if m != nil {
                return m.Language
        }
        return ""
}

// The request message for the text annotation API, which can perform multiple
// analysis types (sentiment, entities, and syntax) in one call.
type AnnotateTextRequest struct {
        // Input document.
        Document *Document `protobuf:"bytes,1,opt,name=document" json:"document,omitempty"`
        // The enabled features.
        Features *AnnotateTextRequest_Features `protobuf:"bytes,2,opt,name=features" json:"features,omitempty"`
        // The encoding type used by the API to calculate offsets.
        EncodingType EncodingType `protobuf:"varint,3,opt,name=encoding_type,json=encodingType,enum=google.cloud.language.v1.EncodingType" json:"encoding_type,omitempty"`
}

func (m *AnnotateTextRequest) Reset()                    { *m = AnnotateTextRequest{} }
func (m *AnnotateTextRequest) String() string            { return proto.CompactTextString(m) }
func (*AnnotateTextRequest) ProtoMessage()               {}
func (*AnnotateTextRequest) Descriptor() ([]byte, []int) { return fileDescriptor0, []int{15} }

func (m *AnnotateTextRequest) GetDocument() *Document {
        if m != nil {
                return m.Document
        }
        return nil
}

func (m *AnnotateTextRequest) GetFeatures() *AnnotateTextRequest_Features {
        if m != nil {
                return m.Features
        }
        return nil
}

func (m *AnnotateTextRequest) GetEncodingType() EncodingType {
        if m != nil {
                return m.EncodingType
        }
        return EncodingType_NONE
}

// All available features for sentiment, syntax, and semantic analysis.
// Setting each one to true will enable that specific analysis for the input.
type AnnotateTextRequest_Features struct {
        // Extract syntax information.
        ExtractSyntax bool `protobuf:"varint,1,opt,name=extract_syntax,json=extractSyntax" json:"extract_syntax,omitempty"`
        // Extract entities.
        ExtractEntities bool `protobuf:"varint,2,opt,name=extract_entities,json=extractEntities" json:"extract_entities,omitempty"`
        // Extract document-level sentiment.
        ExtractDocumentSentiment bool `protobuf:"varint,3,opt,name=extract_document_sentiment,json=extractDocumentSentiment" json:"extract_document_sentiment,omitempty"`
}

func (m *AnnotateTextRequest_Features) Reset()         { *m = AnnotateTextRequest_Features{} }
func (m *AnnotateTextRequest_Features) String() string { return proto.CompactTextString(m) }
func (*AnnotateTextRequest_Features) ProtoMessage()    {}
func (*AnnotateTextRequest_Features) Descriptor() ([]byte, []int) {
        return fileDescriptor0, []int{15, 0}
}

func (m *AnnotateTextRequest_Features) GetExtractSyntax() bool {
        if m != nil {
                return m.ExtractSyntax
        }
        return false
}

func (m *AnnotateTextRequest_Features) GetExtractEntities() bool {
        if m != nil {
                return m.ExtractEntities
        }
        return false
}

func (m *AnnotateTextRequest_Features) GetExtractDocumentSentiment() bool {
        if m != nil {
                return m.ExtractDocumentSentiment
        }
        return false
}

// The text annotations response message.
type AnnotateTextResponse struct {
        // Sentences in the input document. Populated if the user enables
        // [AnnotateTextRequest.Features.extract_syntax][google.cloud.language.v1.AnnotateTextRequest.Features.extract_syntax].
        Sentences []*Sentence `protobuf:"bytes,1,rep,name=sentences" json:"sentences,omitempty"`
        // Tokens, along with their syntactic information, in the input document.
        // Populated if the user enables
        // [AnnotateTextRequest.Features.extract_syntax][google.cloud.language.v1.AnnotateTextRequest.Features.extract_syntax].
        Tokens []*Token `protobuf:"bytes,2,rep,name=tokens" json:"tokens,omitempty"`
        // Entities, along with their semantic information, in the input document.
        // Populated if the user enables
        // [AnnotateTextRequest.Features.extract_entities][google.cloud.language.v1.AnnotateTextRequest.Features.extract_entities].
        Entities []*Entity `protobuf:"bytes,3,rep,name=entities" json:"entities,omitempty"`
        // The overall sentiment for the document. Populated if the user enables
        // [AnnotateTextRequest.Features.extract_document_sentiment][google.cloud.language.v1.AnnotateTextRequest.Features.extract_document_sentiment].
        DocumentSentiment *Sentiment `protobuf:"bytes,4,opt,name=document_sentiment,json=documentSentiment" json:"document_sentiment,omitempty"`
        // The language of the text, which will be the same as the language specified
        // in the request or, if not specified, the automatically-detected language.
        // See [Document.language][google.cloud.language.v1.Document.language] field for more details.
        Language string `protobuf:"bytes,5,opt,name=language" json:"language,omitempty"`
}

func (m *AnnotateTextResponse) Reset()                    { *m = AnnotateTextResponse{} }
func (m *AnnotateTextResponse) String() string            { return proto.CompactTextString(m) }
func (*AnnotateTextResponse) ProtoMessage()               {}
func (*AnnotateTextResponse) Descriptor() ([]byte, []int) { return fileDescriptor0, []int{16} }

func (m *AnnotateTextResponse) GetSentences() []*Sentence {
        if m != nil {
                return m.Sentences
        }
        return nil
}

func (m *AnnotateTextResponse) GetTokens() []*Token {
        if m != nil {
                return m.Tokens
        }
        return nil
}

func (m *AnnotateTextResponse) GetEntities() []*Entity {
        if m != nil {
                return m.Entities
        }
        return nil
}

func (m *AnnotateTextResponse) GetDocumentSentiment() *Sentiment {
        if m != nil {
                return m.DocumentSentiment
        }
        return nil
}

func (m *AnnotateTextResponse) GetLanguage() string {
        if m != nil {
                return m.Language
        }
        return ""
}

func init() {
        proto.RegisterType((*Document)(nil), "google.cloud.language.v1.Document")
        proto.RegisterType((*Sentence)(nil), "google.cloud.language.v1.Sentence")
        proto.RegisterType((*Entity)(nil), "google.cloud.language.v1.Entity")
        proto.RegisterType((*Token)(nil), "google.cloud.language.v1.Token")
        proto.RegisterType((*Sentiment)(nil), "google.cloud.language.v1.Sentiment")
        proto.RegisterType((*PartOfSpeech)(nil), "google.cloud.language.v1.PartOfSpeech")
        proto.RegisterType((*DependencyEdge)(nil), "google.cloud.language.v1.DependencyEdge")
        proto.RegisterType((*EntityMention)(nil), "google.cloud.language.v1.EntityMention")
        proto.RegisterType((*TextSpan)(nil), "google.cloud.language.v1.TextSpan")
        proto.RegisterType((*AnalyzeSentimentRequest)(nil), "google.cloud.language.v1.AnalyzeSentimentRequest")
        proto.RegisterType((*AnalyzeSentimentResponse)(nil), "google.cloud.language.v1.AnalyzeSentimentResponse")
        proto.RegisterType((*AnalyzeEntitiesRequest)(nil), "google.cloud.language.v1.AnalyzeEntitiesRequest")
        proto.RegisterType((*AnalyzeEntitiesResponse)(nil), "google.cloud.language.v1.AnalyzeEntitiesResponse")
        proto.RegisterType((*AnalyzeSyntaxRequest)(nil), "google.cloud.language.v1.AnalyzeSyntaxRequest")
        proto.RegisterType((*AnalyzeSyntaxResponse)(nil), "google.cloud.language.v1.AnalyzeSyntaxResponse")
        proto.RegisterType((*AnnotateTextRequest)(nil), "google.cloud.language.v1.AnnotateTextRequest")
        proto.RegisterType((*AnnotateTextRequest_Features)(nil), "google.cloud.language.v1.AnnotateTextRequest.Features")
        proto.RegisterType((*AnnotateTextResponse)(nil), "google.cloud.language.v1.AnnotateTextResponse")
        proto.RegisterEnum("google.cloud.language.v1.EncodingType", EncodingType_name, EncodingType_value)
        proto.RegisterEnum("google.cloud.language.v1.Document_Type", Document_Type_name, Document_Type_value)
        proto.RegisterEnum("google.cloud.language.v1.Entity_Type", Entity_Type_name, Entity_Type_value)
        proto.RegisterEnum("google.cloud.language.v1.PartOfSpeech_Tag", PartOfSpeech_Tag_name, PartOfSpeech_Tag_value)
        proto.RegisterEnum("google.cloud.language.v1.PartOfSpeech_Aspect", PartOfSpeech_Aspect_name, PartOfSpeech_Aspect_value)
        proto.RegisterEnum("google.cloud.language.v1.PartOfSpeech_Case", PartOfSpeech_Case_name, PartOfSpeech_Case_value)
        proto.RegisterEnum("google.cloud.language.v1.PartOfSpeech_Form", PartOfSpeech_Form_name, PartOfSpeech_Form_value)
        proto.RegisterEnum("google.cloud.language.v1.PartOfSpeech_Gender", PartOfSpeech_Gender_name, PartOfSpeech_Gender_value)
        proto.RegisterEnum("google.cloud.language.v1.PartOfSpeech_Mood", PartOfSpeech_Mood_name, PartOfSpeech_Mood_value)
        proto.RegisterEnum("google.cloud.language.v1.PartOfSpeech_Number", PartOfSpeech_Number_name, PartOfSpeech_Number_value)
        proto.RegisterEnum("google.cloud.language.v1.PartOfSpeech_Person", PartOfSpeech_Person_name, PartOfSpeech_Person_value)
        proto.RegisterEnum("google.cloud.language.v1.PartOfSpeech_Proper", PartOfSpeech_Proper_name, PartOfSpeech_Proper_value)
        proto.RegisterEnum("google.cloud.language.v1.PartOfSpeech_Reciprocity", PartOfSpeech_Reciprocity_name, PartOfSpeech_Reciprocity_value)
        proto.RegisterEnum("google.cloud.language.v1.PartOfSpeech_Tense", PartOfSpeech_Tense_name, PartOfSpeech_Tense_value)
        proto.RegisterEnum("google.cloud.language.v1.PartOfSpeech_Voice", PartOfSpeech_Voice_name, PartOfSpeech_Voice_value)
        proto.RegisterEnum("google.cloud.language.v1.DependencyEdge_Label", DependencyEdge_Label_name, DependencyEdge_Label_value)
        proto.RegisterEnum("google.cloud.language.v1.EntityMention_Type", EntityMention_Type_name, EntityMention_Type_value)
}

// Reference imports to suppress errors if they are not otherwise used.
var _ context.Context
var _ grpc.ClientConn

// This is a compile-time assertion to ensure that this generated file
// is compatible with the grpc package it is being compiled against.
const _ = grpc.SupportPackageIsVersion4

// Client API for LanguageService service

type LanguageServiceClient interface {
        // Analyzes the sentiment of the provided text.
        AnalyzeSentiment(ctx context.Context, in *AnalyzeSentimentRequest, opts ...grpc.CallOption) (*AnalyzeSentimentResponse, error)
        // Finds named entities (currently proper names and common nouns) in the text
        // along with entity types, salience, mentions for each entity, and
        // other properties.
        AnalyzeEntities(ctx context.Context, in *AnalyzeEntitiesRequest, opts ...grpc.CallOption) (*AnalyzeEntitiesResponse, error)
        // Analyzes the syntax of the text and provides sentence boundaries and
        // tokenization along with part of speech tags, dependency trees, and other
        // properties.
        AnalyzeSyntax(ctx context.Context, in *AnalyzeSyntaxRequest, opts ...grpc.CallOption) (*AnalyzeSyntaxResponse, error)
        // A convenience method that provides all the features that analyzeSentiment,
        // analyzeEntities, and analyzeSyntax provide in one call.
        AnnotateText(ctx context.Context, in *AnnotateTextRequest, opts ...grpc.CallOption) (*AnnotateTextResponse, error)
}

type languageServiceClient struct {
        cc *grpc.ClientConn
}

func NewLanguageServiceClient(cc *grpc.ClientConn) LanguageServiceClient {
        return &languageServiceClient{cc}
}

func (c *languageServiceClient) AnalyzeSentiment(ctx context.Context, in *AnalyzeSentimentRequest, opts ...grpc.CallOption) (*AnalyzeSentimentResponse, error) {
        out := new(AnalyzeSentimentResponse)
        err := grpc.Invoke(ctx, "/google.cloud.language.v1.LanguageService/AnalyzeSentiment", in, out, c.cc, opts...)
        if err != nil {
                return nil, err
        }
        return out, nil
}

func (c *languageServiceClient) AnalyzeEntities(ctx context.Context, in *AnalyzeEntitiesRequest, opts ...grpc.CallOption) (*AnalyzeEntitiesResponse, error) {
        out := new(AnalyzeEntitiesResponse)
        err := grpc.Invoke(ctx, "/google.cloud.language.v1.LanguageService/AnalyzeEntities", in, out, c.cc, opts...)
        if err != nil {
                return nil, err
        }
        return out, nil
}

func (c *languageServiceClient) AnalyzeSyntax(ctx context.Context, in *AnalyzeSyntaxRequest, opts ...grpc.CallOption) (*AnalyzeSyntaxResponse, error) {
        out := new(AnalyzeSyntaxResponse)
        err := grpc.Invoke(ctx, "/google.cloud.language.v1.LanguageService/AnalyzeSyntax", in, out, c.cc, opts...)
        if err != nil {
                return nil, err
        }
        return out, nil
}

func (c *languageServiceClient) AnnotateText(ctx context.Context, in *AnnotateTextRequest, opts ...grpc.CallOption) (*AnnotateTextResponse, error) {
        out := new(AnnotateTextResponse)
        err := grpc.Invoke(ctx, "/google.cloud.language.v1.LanguageService/AnnotateText", in, out, c.cc, opts...)
        if err != nil {
                return nil, err
        }
        return out, nil
}

// Server API for LanguageService service

type LanguageServiceServer interface {
        // Analyzes the sentiment of the provided text.
        AnalyzeSentiment(context.Context, *AnalyzeSentimentRequest) (*AnalyzeSentimentResponse, error)
        // Finds named entities (currently proper names and common nouns) in the text
        // along with entity types, salience, mentions for each entity, and
        // other properties.
        AnalyzeEntities(context.Context, *AnalyzeEntitiesRequest) (*AnalyzeEntitiesResponse, error)
        // Analyzes the syntax of the text and provides sentence boundaries and
        // tokenization along with part of speech tags, dependency trees, and other
        // properties.
        AnalyzeSyntax(context.Context, *AnalyzeSyntaxRequest) (*AnalyzeSyntaxResponse, error)
        // A convenience method that provides all the features that analyzeSentiment,
        // analyzeEntities, and analyzeSyntax provide in one call.
        AnnotateText(context.Context, *AnnotateTextRequest) (*AnnotateTextResponse, error)
}

func RegisterLanguageServiceServer(s *grpc.Server, srv LanguageServiceServer) {
        s.RegisterService(&_LanguageService_serviceDesc, srv)
}

func _LanguageService_AnalyzeSentiment_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
        in := new(AnalyzeSentimentRequest)
        if err := dec(in); err != nil {
                return nil, err
        }
        if interceptor == nil {
                return srv.(LanguageServiceServer).AnalyzeSentiment(ctx, in)
        }
        info := &grpc.UnaryServerInfo{
                Server:     srv,
                FullMethod: "/google.cloud.language.v1.LanguageService/AnalyzeSentiment",
        }
        handler := func(ctx context.Context, req interface{}) (interface{}, error) {
                return srv.(LanguageServiceServer).AnalyzeSentiment(ctx, req.(*AnalyzeSentimentRequest))
        }
        return interceptor(ctx, in, info, handler)
}

func _LanguageService_AnalyzeEntities_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
        in := new(AnalyzeEntitiesRequest)
        if err := dec(in); err != nil {
                return nil, err
        }
        if interceptor == nil {
                return srv.(LanguageServiceServer).AnalyzeEntities(ctx, in)
        }
        info := &grpc.UnaryServerInfo{
                Server:     srv,
                FullMethod: "/google.cloud.language.v1.LanguageService/AnalyzeEntities",
        }
        handler := func(ctx context.Context, req interface{}) (interface{}, error) {
                return srv.(LanguageServiceServer).AnalyzeEntities(ctx, req.(*AnalyzeEntitiesRequest))
        }
        return interceptor(ctx, in, info, handler)
}

func _LanguageService_AnalyzeSyntax_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
        in := new(AnalyzeSyntaxRequest)
        if err := dec(in); err != nil {
                return nil, err
        }
        if interceptor == nil {
                return srv.(LanguageServiceServer).AnalyzeSyntax(ctx, in)
        }
        info := &grpc.UnaryServerInfo{
                Server:     srv,
                FullMethod: "/google.cloud.language.v1.LanguageService/AnalyzeSyntax",
        }
        handler := func(ctx context.Context, req interface{}) (interface{}, error) {
                return srv.(LanguageServiceServer).AnalyzeSyntax(ctx, req.(*AnalyzeSyntaxRequest))
        }
        return interceptor(ctx, in, info, handler)
}

func _LanguageService_AnnotateText_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
        in := new(AnnotateTextRequest)
        if err := dec(in); err != nil {
                return nil, err
        }
        if interceptor == nil {
                return srv.(LanguageServiceServer).AnnotateText(ctx, in)
        }
        info := &grpc.UnaryServerInfo{
                Server:     srv,
                FullMethod: "/google.cloud.language.v1.LanguageService/AnnotateText",
        }
        handler := func(ctx context.Context, req interface{}) (interface{}, error) {
                return srv.(LanguageServiceServer).AnnotateText(ctx, req.(*AnnotateTextRequest))
        }
        return interceptor(ctx, in, info, handler)
}

var _LanguageService_serviceDesc = grpc.ServiceDesc{
        ServiceName: "google.cloud.language.v1.LanguageService",
        HandlerType: (*LanguageServiceServer)(nil),
        Methods: []grpc.MethodDesc{
                {
                        MethodName: "AnalyzeSentiment",
                        Handler:    _LanguageService_AnalyzeSentiment_Handler,
                },
                {
                        MethodName: "AnalyzeEntities",
                        Handler:    _LanguageService_AnalyzeEntities_Handler,
                },
                {
                        MethodName: "AnalyzeSyntax",
                        Handler:    _LanguageService_AnalyzeSyntax_Handler,
                },
                {
                        MethodName: "AnnotateText",
                        Handler:    _LanguageService_AnnotateText_Handler,
                },
        },
        Streams:  []grpc.StreamDesc{},
        Metadata: "google/cloud/language/v1/language_service.proto",
}

func init() { proto.RegisterFile("google/cloud/language/v1/language_service.proto", fileDescriptor0) }

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