Index: discovery/googleapis_beta/language__v1beta1.json |
diff --git a/discovery/googleapis_beta/language__v1beta1.json b/discovery/googleapis_beta/language__v1beta1.json |
index 583f7e190519fa03da3f7d2b9b6bab42f163e81c..350e8c372c18be025b76249a03f330bae614456f 100644 |
--- a/discovery/googleapis_beta/language__v1beta1.json |
+++ b/discovery/googleapis_beta/language__v1beta1.json |
@@ -25,35 +25,31 @@ |
"ownerDomain": "google.com", |
"ownerName": "Google", |
"parameters": { |
- "access_token": { |
- "description": "OAuth access token.", |
+ "fields": { |
+ "description": "Selector specifying which fields to include in a partial response.", |
"location": "query", |
"type": "string" |
}, |
- "prettyPrint": { |
- "default": "true", |
- "description": "Returns response with indentations and line breaks.", |
- "location": "query", |
- "type": "boolean" |
- }, |
- "key": { |
- "description": "API key. Your API key identifies your project and provides you with API access, quota, and reports. Required unless you provide an OAuth 2.0 token.", |
+ "uploadType": { |
+ "description": "Legacy upload protocol for media (e.g. \"media\", \"multipart\").", |
"location": "query", |
"type": "string" |
}, |
- "quotaUser": { |
- "description": "Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters.", |
+ "$.xgafv": { |
+ "description": "V1 error format.", |
+ "enum": [ |
+ "1", |
+ "2" |
+ ], |
+ "enumDescriptions": [ |
+ "v1 error format", |
+ "v2 error format" |
+ ], |
"location": "query", |
"type": "string" |
}, |
- "pp": { |
- "default": "true", |
- "description": "Pretty-print response.", |
- "location": "query", |
- "type": "boolean" |
- }, |
- "fields": { |
- "description": "Selector specifying which fields to include in a partial response.", |
+ "callback": { |
+ "description": "JSONP", |
"location": "query", |
"type": "string" |
}, |
@@ -73,31 +69,29 @@ |
"location": "query", |
"type": "string" |
}, |
- "$.xgafv": { |
- "description": "V1 error format.", |
- "enum": [ |
- "1", |
- "2" |
- ], |
- "enumDescriptions": [ |
- "v1 error format", |
- "v2 error format" |
- ], |
+ "access_token": { |
+ "description": "OAuth access token.", |
"location": "query", |
"type": "string" |
}, |
- "callback": { |
- "description": "JSONP", |
+ "key": { |
+ "description": "API key. Your API key identifies your project and provides you with API access, quota, and reports. Required unless you provide an OAuth 2.0 token.", |
"location": "query", |
"type": "string" |
}, |
- "oauth_token": { |
- "description": "OAuth 2.0 token for the current user.", |
+ "quotaUser": { |
+ "description": "Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters.", |
"location": "query", |
"type": "string" |
}, |
- "uploadType": { |
- "description": "Legacy upload protocol for media (e.g. \"media\", \"multipart\").", |
+ "pp": { |
+ "default": "true", |
+ "description": "Pretty-print response.", |
+ "location": "query", |
+ "type": "boolean" |
+ }, |
+ "oauth_token": { |
+ "description": "OAuth 2.0 token for the current user.", |
"location": "query", |
"type": "string" |
}, |
@@ -110,6 +104,12 @@ |
"description": "Upload protocol for media (e.g. \"raw\", \"multipart\").", |
"location": "query", |
"type": "string" |
+ }, |
+ "prettyPrint": { |
+ "default": "true", |
+ "description": "Returns response with indentations and line breaks.", |
+ "location": "query", |
+ "type": "boolean" |
} |
}, |
"protocol": "rest", |
@@ -133,23 +133,6 @@ |
"https://www.googleapis.com/auth/cloud-platform" |
] |
}, |
- "analyzeSyntax": { |
- "description": "Analyzes the syntax of the text and provides sentence boundaries and\ntokenization along with part of speech tags, dependency trees, and other\nproperties.", |
- "httpMethod": "POST", |
- "id": "language.documents.analyzeSyntax", |
- "parameterOrder": [], |
- "parameters": {}, |
- "path": "v1beta1/documents:analyzeSyntax", |
- "request": { |
- "$ref": "AnalyzeSyntaxRequest" |
- }, |
- "response": { |
- "$ref": "AnalyzeSyntaxResponse" |
- }, |
- "scopes": [ |
- "https://www.googleapis.com/auth/cloud-platform" |
- ] |
- }, |
"annotateText": { |
"description": "A convenience method that provides all the features that analyzeSentiment,\nanalyzeEntities, and analyzeSyntax provide in one call.", |
"httpMethod": "POST", |
@@ -183,42 +166,49 @@ |
"scopes": [ |
"https://www.googleapis.com/auth/cloud-platform" |
] |
+ }, |
+ "analyzeSyntax": { |
+ "description": "Analyzes the syntax of the text and provides sentence boundaries and\ntokenization along with part of speech tags, dependency trees, and other\nproperties.", |
+ "httpMethod": "POST", |
+ "id": "language.documents.analyzeSyntax", |
+ "parameterOrder": [], |
+ "parameters": {}, |
+ "path": "v1beta1/documents:analyzeSyntax", |
+ "request": { |
+ "$ref": "AnalyzeSyntaxRequest" |
+ }, |
+ "response": { |
+ "$ref": "AnalyzeSyntaxResponse" |
+ }, |
+ "scopes": [ |
+ "https://www.googleapis.com/auth/cloud-platform" |
+ ] |
} |
} |
} |
}, |
- "revision": "20170103", |
+ "revision": "20170206", |
"rootUrl": "https://language.googleapis.com/", |
"schemas": { |
- "Document": { |
- "description": "################################################################ #\n\nRepresents the input to API methods.", |
- "id": "Document", |
+ "Token": { |
+ "description": "Represents the smallest syntactic building block of the text.", |
+ "id": "Token", |
"properties": { |
- "language": { |
- "description": "The language of the document (if not specified, the language is\nautomatically detected). Both ISO and BCP-47 language codes are\naccepted.<br>\n**Current Language Restrictions:**\n\n * Only English, Spanish, and Japanese textual content are supported.\nIf the language (either specified by the caller or automatically detected)\nis not supported by the called API method, an `INVALID_ARGUMENT` error\nis returned.", |
- "type": "string" |
+ "text": { |
+ "$ref": "TextSpan", |
+ "description": "The token text." |
}, |
- "gcsContentUri": { |
- "description": "The Google Cloud Storage URI where the file content is located.\nThis URI must be of the form: gs://bucket_name/object_name. For more\ndetails, see https://cloud.google.com/storage/docs/reference-uris.\nNOTE: Cloud Storage object versioning is not supported.", |
- "type": "string" |
+ "dependencyEdge": { |
+ "$ref": "DependencyEdge", |
+ "description": "Dependency tree parse for this token." |
}, |
- "type": { |
- "description": "Required. If the type is not set or is `TYPE_UNSPECIFIED`,\nreturns an `INVALID_ARGUMENT` error.", |
- "enum": [ |
- "TYPE_UNSPECIFIED", |
- "PLAIN_TEXT", |
- "HTML" |
- ], |
- "enumDescriptions": [ |
- "The content type is not specified.", |
- "Plain text", |
- "HTML" |
- ], |
+ "lemma": { |
+ "description": "[Lemma](https://en.wikipedia.org/wiki/Lemma_%28morphology%29) of the token.", |
"type": "string" |
}, |
- "content": { |
- "description": "The content of the input in string format.", |
- "type": "string" |
+ "partOfSpeech": { |
+ "$ref": "PartOfSpeech", |
+ "description": "Parts of speech tag for this token." |
} |
}, |
"type": "object" |
@@ -248,6 +238,10 @@ |
"format": "int32", |
"type": "integer" |
}, |
+ "message": { |
+ "description": "A developer-facing error message, which should be in English. Any\nuser-facing error message should be localized and sent in the\ngoogle.rpc.Status.details field, or localized by the client.", |
+ "type": "string" |
+ }, |
"details": { |
"description": "A list of messages that carry the error details. There will be a\ncommon set of message types for APIs to use.", |
"items": { |
@@ -258,37 +252,25 @@ |
"type": "object" |
}, |
"type": "array" |
- }, |
- "message": { |
- "description": "A developer-facing error message, which should be in English. Any\nuser-facing error message should be localized and sent in the\ngoogle.rpc.Status.details field, or localized by the client.", |
- "type": "string" |
} |
}, |
"type": "object" |
}, |
- "AnalyzeEntitiesRequest": { |
- "description": "The entity analysis request message.", |
- "id": "AnalyzeEntitiesRequest", |
+ "Features": { |
+ "description": "All available features for sentiment, syntax, and semantic analysis.\nSetting each one to true will enable that specific analysis for the input.", |
+ "id": "Features", |
"properties": { |
- "document": { |
- "$ref": "Document", |
- "description": "Input document." |
+ "extractSyntax": { |
+ "description": "Extract syntax information.", |
+ "type": "boolean" |
}, |
- "encodingType": { |
- "description": "The encoding type used by the API to calculate offsets.", |
- "enum": [ |
- "NONE", |
- "UTF8", |
- "UTF16", |
- "UTF32" |
- ], |
- "enumDescriptions": [ |
- "If `EncodingType` is not specified, encoding-dependent information (such as\n`begin_offset`) will be set at `-1`.", |
- "Encoding-dependent information (such as `begin_offset`) is calculated based\non the UTF-8 encoding of the input. C++ and Go are examples of languages\nthat use this encoding natively.", |
- "Encoding-dependent information (such as `begin_offset`) is calculated based\non the UTF-16 encoding of the input. Java and Javascript are examples of\nlanguages that use this encoding natively.", |
- "Encoding-dependent information (such as `begin_offset`) is calculated based\non the UTF-32 encoding of the input. Python is an example of a language\nthat uses this encoding natively." |
- ], |
- "type": "string" |
+ "extractDocumentSentiment": { |
+ "description": "Extract document-level sentiment.", |
+ "type": "boolean" |
+ }, |
+ "extractEntities": { |
+ "description": "Extract entities.", |
+ "type": "boolean" |
} |
}, |
"type": "object" |
@@ -318,63 +300,80 @@ |
}, |
"type": "object" |
}, |
- "AnalyzeSentimentRequest": { |
- "description": "The sentiment analysis request message.", |
- "id": "AnalyzeSentimentRequest", |
+ "Document": { |
+ "description": "################################################################ #\n\nRepresents the input to API methods.", |
+ "id": "Document", |
"properties": { |
- "document": { |
- "$ref": "Document", |
- "description": "Input document. Currently, `analyzeSentiment` only supports English text\n(Document.language=\"EN\")." |
+ "language": { |
+ "description": "The language of the document (if not specified, the language is\nautomatically detected). Both ISO and BCP-47 language codes are\naccepted.<br>\n**Current Language Restrictions:**\n\n * Only English, Spanish, and Japanese textual content are supported.\nIf the language (either specified by the caller or automatically detected)\nis not supported by the called API method, an `INVALID_ARGUMENT` error\nis returned.", |
+ "type": "string" |
}, |
- "encodingType": { |
- "description": "The encoding type used by the API to calculate sentence offsets for the\nsentence sentiment.", |
+ "type": { |
+ "description": "Required. If the type is not set or is `TYPE_UNSPECIFIED`,\nreturns an `INVALID_ARGUMENT` error.", |
"enum": [ |
- "NONE", |
- "UTF8", |
- "UTF16", |
- "UTF32" |
+ "TYPE_UNSPECIFIED", |
+ "PLAIN_TEXT", |
+ "HTML" |
], |
"enumDescriptions": [ |
- "If `EncodingType` is not specified, encoding-dependent information (such as\n`begin_offset`) will be set at `-1`.", |
- "Encoding-dependent information (such as `begin_offset`) is calculated based\non the UTF-8 encoding of the input. C++ and Go are examples of languages\nthat use this encoding natively.", |
- "Encoding-dependent information (such as `begin_offset`) is calculated based\non the UTF-16 encoding of the input. Java and Javascript are examples of\nlanguages that use this encoding natively.", |
- "Encoding-dependent information (such as `begin_offset`) is calculated based\non the UTF-32 encoding of the input. Python is an example of a language\nthat uses this encoding natively." |
+ "The content type is not specified.", |
+ "Plain text", |
+ "HTML" |
], |
"type": "string" |
+ }, |
+ "content": { |
+ "description": "The content of the input in string format.", |
+ "type": "string" |
+ }, |
+ "gcsContentUri": { |
+ "description": "The Google Cloud Storage URI where the file content is located.\nThis URI must be of the form: gs://bucket_name/object_name. For more\ndetails, see https://cloud.google.com/storage/docs/reference-uris.\nNOTE: Cloud Storage object versioning is not supported.", |
+ "type": "string" |
} |
}, |
"type": "object" |
}, |
- "AnalyzeSentimentResponse": { |
- "description": "The sentiment analysis response message.", |
- "id": "AnalyzeSentimentResponse", |
+ "Sentence": { |
+ "description": "Represents a sentence in the input document.", |
+ "id": "Sentence", |
"properties": { |
- "documentSentiment": { |
- "$ref": "Sentiment", |
- "description": "The overall sentiment of the input document." |
- }, |
- "language": { |
- "description": "The language of the text, which will be the same as the language specified\nin the request or, if not specified, the automatically-detected language.", |
- "type": "string" |
+ "text": { |
+ "$ref": "TextSpan", |
+ "description": "The sentence text." |
}, |
- "sentences": { |
- "description": "The sentiment for all the sentences in the document.", |
- "items": { |
- "$ref": "Sentence" |
- }, |
- "type": "array" |
+ "sentiment": { |
+ "$ref": "Sentiment", |
+ "description": "For calls to AnalyzeSentiment or if\nAnnotateTextRequest.Features.extract_document_sentiment is set to\ntrue, this field will contain the sentiment for the sentence." |
} |
}, |
"type": "object" |
}, |
- "AnalyzeSyntaxRequest": { |
- "description": "The syntax analysis request message.", |
- "id": "AnalyzeSyntaxRequest", |
+ "Sentiment": { |
+ "description": "Represents the feeling associated with the entire text or entities in\nthe text.", |
+ "id": "Sentiment", |
"properties": { |
- "document": { |
- "$ref": "Document", |
- "description": "Input document." |
+ "polarity": { |
+ "description": "DEPRECATED FIELD - This field is being deprecated in\nfavor of score. Please refer to our documentation at\nhttps://cloud.google.com/natural-language/docs for more information.", |
+ "format": "float", |
+ "type": "number" |
+ }, |
+ "score": { |
+ "description": "Sentiment score between -1.0 (negative sentiment) and 1.0\n(positive sentiment).", |
+ "format": "float", |
+ "type": "number" |
}, |
+ "magnitude": { |
+ "description": "A non-negative number in the [0, +inf) range, which represents\nthe absolute magnitude of sentiment regardless of score (positive or\nnegative).", |
+ "format": "float", |
+ "type": "number" |
+ } |
+ }, |
+ "type": "object" |
+ }, |
+ "AnalyzeEntitiesRequest": { |
+ "description": "The entity analysis request message.", |
+ "id": "AnalyzeEntitiesRequest", |
+ "properties": { |
"encodingType": { |
"description": "The encoding type used by the API to calculate offsets.", |
"enum": [ |
@@ -390,291 +389,105 @@ |
"Encoding-dependent information (such as `begin_offset`) is calculated based\non the UTF-32 encoding of the input. Python is an example of a language\nthat uses this encoding natively." |
], |
"type": "string" |
+ }, |
+ "document": { |
+ "$ref": "Document", |
+ "description": "Input document." |
} |
}, |
"type": "object" |
}, |
- "DependencyEdge": { |
- "description": "Represents dependency parse tree information for a token.", |
- "id": "DependencyEdge", |
+ "PartOfSpeech": { |
+ "description": "Represents part of speech information for a token.", |
+ "id": "PartOfSpeech", |
"properties": { |
- "headTokenIndex": { |
- "description": "Represents the head of this token in the dependency tree.\nThis is the index of the token which has an arc going to this token.\nThe index is the position of the token in the array of tokens returned\nby the API method. If this token is a root token, then the\n`head_token_index` is its own index.", |
- "format": "int32", |
- "type": "integer" |
+ "voice": { |
+ "description": "The grammatical voice.", |
+ "enum": [ |
+ "VOICE_UNKNOWN", |
+ "ACTIVE", |
+ "CAUSATIVE", |
+ "PASSIVE" |
+ ], |
+ "enumDescriptions": [ |
+ "Voice is not applicable in the analyzed language or is not predicted.", |
+ "Active", |
+ "Causative", |
+ "Passive" |
+ ], |
+ "type": "string" |
}, |
- "label": { |
- "description": "The parse label for the token.", |
+ "aspect": { |
+ "description": "The grammatical aspect.", |
+ "enum": [ |
+ "ASPECT_UNKNOWN", |
+ "PERFECTIVE", |
+ "IMPERFECTIVE", |
+ "PROGRESSIVE" |
+ ], |
+ "enumDescriptions": [ |
+ "Aspect is not applicable in the analyzed language or is not predicted.", |
+ "Perfective", |
+ "Imperfective", |
+ "Progressive" |
+ ], |
+ "type": "string" |
+ }, |
+ "mood": { |
+ "description": "The grammatical mood.", |
+ "enum": [ |
+ "MOOD_UNKNOWN", |
+ "CONDITIONAL_MOOD", |
+ "IMPERATIVE", |
+ "INDICATIVE", |
+ "INTERROGATIVE", |
+ "JUSSIVE", |
+ "SUBJUNCTIVE" |
+ ], |
+ "enumDescriptions": [ |
+ "Mood is not applicable in the analyzed language or is not predicted.", |
+ "Conditional", |
+ "Imperative", |
+ "Indicative", |
+ "Interrogative", |
+ "Jussive", |
+ "Subjunctive" |
+ ], |
+ "type": "string" |
+ }, |
+ "tag": { |
+ "description": "The part of speech tag.", |
"enum": [ |
"UNKNOWN", |
- "ABBREV", |
- "ACOMP", |
- "ADVCL", |
- "ADVMOD", |
- "AMOD", |
- "APPOS", |
- "ATTR", |
- "AUX", |
- "AUXPASS", |
- "CC", |
- "CCOMP", |
+ "ADJ", |
+ "ADP", |
+ "ADV", |
"CONJ", |
- "CSUBJ", |
- "CSUBJPASS", |
- "DEP", |
"DET", |
- "DISCOURSE", |
- "DOBJ", |
- "EXPL", |
- "GOESWITH", |
- "IOBJ", |
- "MARK", |
- "MWE", |
- "MWV", |
- "NEG", |
- "NN", |
- "NPADVMOD", |
- "NSUBJ", |
- "NSUBJPASS", |
+ "NOUN", |
"NUM", |
- "NUMBER", |
- "P", |
- "PARATAXIS", |
- "PARTMOD", |
- "PCOMP", |
- "POBJ", |
- "POSS", |
- "POSTNEG", |
- "PRECOMP", |
- "PRECONJ", |
- "PREDET", |
- "PREF", |
- "PREP", |
- "PRONL", |
+ "PRON", |
"PRT", |
- "PS", |
- "QUANTMOD", |
- "RCMOD", |
- "RCMODREL", |
- "RDROP", |
- "REF", |
- "REMNANT", |
- "REPARANDUM", |
- "ROOT", |
- "SNUM", |
- "SUFF", |
- "TMOD", |
- "TOPIC", |
- "VMOD", |
- "VOCATIVE", |
- "XCOMP", |
- "SUFFIX", |
- "TITLE", |
- "ADVPHMOD", |
- "AUXCAUS", |
- "AUXVV", |
- "DTMOD", |
- "FOREIGN", |
- "KW", |
- "LIST", |
- "NOMC", |
- "NOMCSUBJ", |
- "NOMCSUBJPASS", |
- "NUMC", |
- "COP", |
- "DISLOCATED" |
+ "PUNCT", |
+ "VERB", |
+ "X", |
+ "AFFIX" |
], |
"enumDescriptions": [ |
"Unknown", |
- "Abbreviation modifier", |
- "Adjectival complement", |
- "Adverbial clause modifier", |
- "Adverbial modifier", |
- "Adjectival modifier of an NP", |
- "Appositional modifier of an NP", |
- "Attribute dependent of a copular verb", |
- "Auxiliary (non-main) verb", |
- "Passive auxiliary", |
- "Coordinating conjunction", |
- "Clausal complement of a verb or adjective", |
- "Conjunct", |
- "Clausal subject", |
- "Clausal passive subject", |
- "Dependency (unable to determine)", |
+ "Adjective", |
+ "Adposition (preposition and postposition)", |
+ "Adverb", |
+ "Conjunction", |
"Determiner", |
- "Discourse", |
- "Direct object", |
- "Expletive", |
- "Goes with (part of a word in a text not well edited)", |
- "Indirect object", |
- "Marker (word introducing a subordinate clause)", |
- "Multi-word expression", |
- "Multi-word verbal expression", |
- "Negation modifier", |
- "Noun compound modifier", |
- "Noun phrase used as an adverbial modifier", |
- "Nominal subject", |
- "Passive nominal subject", |
- "Numeric modifier of a noun", |
- "Element of compound number", |
- "Punctuation mark", |
- "Parataxis relation", |
- "Participial modifier", |
- "The complement of a preposition is a clause", |
- "Object of a preposition", |
- "Possession modifier", |
- "Postverbal negative particle", |
- "Predicate complement", |
- "Preconjunt", |
- "Predeterminer", |
- "Prefix", |
- "Prepositional modifier", |
- "The relationship between a verb and verbal morpheme", |
- "Particle", |
- "Associative or possessive marker", |
- "Quantifier phrase modifier", |
- "Relative clause modifier", |
- "Complementizer in relative clause", |
- "Ellipsis without a preceding predicate", |
- "Referent", |
- "Remnant", |
- "Reparandum", |
- "Root", |
- "Suffix specifying a unit of number", |
- "Suffix", |
- "Temporal modifier", |
- "Topic marker", |
- "Clause headed by an infinite form of the verb that modifies a noun", |
- "Vocative", |
- "Open clausal complement", |
- "Name suffix", |
- "Name title", |
- "Adverbial phrase modifier", |
- "Causative auxiliary", |
- "Helper auxiliary", |
- "Rentaishi (Prenominal modifier)", |
- "Foreign words", |
- "Keyword", |
- "List for chains of comparable items", |
- "Nominalized clause", |
- "Nominalized clausal subject", |
- "Nominalized clausal passive", |
- "Compound of numeric modifier", |
- "Copula", |
- "Dislocated relation (for fronted/topicalized elements)" |
- ], |
- "type": "string" |
- } |
- }, |
- "type": "object" |
- }, |
- "AnalyzeSyntaxResponse": { |
- "description": "The syntax analysis response message.", |
- "id": "AnalyzeSyntaxResponse", |
- "properties": { |
- "language": { |
- "description": "The language of the text, which will be the same as the language specified\nin the request or, if not specified, the automatically-detected language.\nSee Document.language field for more details.", |
- "type": "string" |
- }, |
- "tokens": { |
- "description": "Tokens, along with their syntactic information, in the input document.", |
- "items": { |
- "$ref": "Token" |
- }, |
- "type": "array" |
- }, |
- "sentences": { |
- "description": "Sentences in the input document.", |
- "items": { |
- "$ref": "Sentence" |
- }, |
- "type": "array" |
- } |
- }, |
- "type": "object" |
- }, |
- "AnnotateTextRequest": { |
- "description": "The request message for the text annotation API, which can perform multiple\nanalysis types (sentiment, entities, and syntax) in one call.", |
- "id": "AnnotateTextRequest", |
- "properties": { |
- "document": { |
- "$ref": "Document", |
- "description": "Input document." |
- }, |
- "encodingType": { |
- "description": "The encoding type used by the API to calculate offsets.", |
- "enum": [ |
- "NONE", |
- "UTF8", |
- "UTF16", |
- "UTF32" |
- ], |
- "enumDescriptions": [ |
- "If `EncodingType` is not specified, encoding-dependent information (such as\n`begin_offset`) will be set at `-1`.", |
- "Encoding-dependent information (such as `begin_offset`) is calculated based\non the UTF-8 encoding of the input. C++ and Go are examples of languages\nthat use this encoding natively.", |
- "Encoding-dependent information (such as `begin_offset`) is calculated based\non the UTF-16 encoding of the input. Java and Javascript are examples of\nlanguages that use this encoding natively.", |
- "Encoding-dependent information (such as `begin_offset`) is calculated based\non the UTF-32 encoding of the input. Python is an example of a language\nthat uses this encoding natively." |
- ], |
- "type": "string" |
- }, |
- "features": { |
- "$ref": "Features", |
- "description": "The enabled features." |
- } |
- }, |
- "type": "object" |
- }, |
- "Sentence": { |
- "description": "Represents a sentence in the input document.", |
- "id": "Sentence", |
- "properties": { |
- "text": { |
- "$ref": "TextSpan", |
- "description": "The sentence text." |
- }, |
- "sentiment": { |
- "$ref": "Sentiment", |
- "description": "For calls to AnalyzeSentiment or if\nAnnotateTextRequest.Features.extract_document_sentiment is set to\ntrue, this field will contain the sentiment for the sentence." |
- } |
- }, |
- "type": "object" |
- }, |
- "Features": { |
- "description": "All available features for sentiment, syntax, and semantic analysis.\nSetting each one to true will enable that specific analysis for the input.", |
- "id": "Features", |
- "properties": { |
- "extractDocumentSentiment": { |
- "description": "Extract document-level sentiment.", |
- "type": "boolean" |
- }, |
- "extractEntities": { |
- "description": "Extract entities.", |
- "type": "boolean" |
- }, |
- "extractSyntax": { |
- "description": "Extract syntax information.", |
- "type": "boolean" |
- } |
- }, |
- "type": "object" |
- }, |
- "PartOfSpeech": { |
- "description": "Represents part of speech information for a token.", |
- "id": "PartOfSpeech", |
- "properties": { |
- "aspect": { |
- "description": "The grammatical aspect.", |
- "enum": [ |
- "ASPECT_UNKNOWN", |
- "PERFECTIVE", |
- "IMPERFECTIVE", |
- "PROGRESSIVE" |
- ], |
- "enumDescriptions": [ |
- "Aspect is not applicable in the analyzed language or is not predicted.", |
- "Perfective", |
- "Imperfective", |
- "Progressive" |
+ "Noun (common and proper)", |
+ "Cardinal number", |
+ "Pronoun", |
+ "Particle or other function word", |
+ "Punctuation", |
+ "Verb (all tenses and modes)", |
+ "Other: foreign words, typos, abbreviations", |
+ "Affix" |
], |
"type": "string" |
}, |
@@ -712,6 +525,20 @@ |
], |
"type": "string" |
}, |
+ "proper": { |
+ "description": "The grammatical properness.", |
+ "enum": [ |
+ "PROPER_UNKNOWN", |
+ "PROPER", |
+ "NOT_PROPER" |
+ ], |
+ "enumDescriptions": [ |
+ "Proper is not applicable in the analyzed language or is not predicted.", |
+ "Proper", |
+ "Not proper" |
+ ], |
+ "type": "string" |
+ }, |
"case": { |
"description": "The grammatical case.", |
"enum": [ |
@@ -750,6 +577,42 @@ |
], |
"type": "string" |
}, |
+ "tense": { |
+ "description": "The grammatical tense.", |
+ "enum": [ |
+ "TENSE_UNKNOWN", |
+ "CONDITIONAL_TENSE", |
+ "FUTURE", |
+ "PAST", |
+ "PRESENT", |
+ "IMPERFECT", |
+ "PLUPERFECT" |
+ ], |
+ "enumDescriptions": [ |
+ "Tense is not applicable in the analyzed language or is not predicted.", |
+ "Conditional", |
+ "Future", |
+ "Past", |
+ "Present", |
+ "Imperfect", |
+ "Pluperfect" |
+ ], |
+ "type": "string" |
+ }, |
+ "reciprocity": { |
+ "description": "The grammatical reciprocity.", |
+ "enum": [ |
+ "RECIPROCITY_UNKNOWN", |
+ "RECIPROCAL", |
+ "NON_RECIPROCAL" |
+ ], |
+ "enumDescriptions": [ |
+ "Reciprocity is not applicable in the analyzed language or is not\npredicted.", |
+ "Reciprocal", |
+ "Non-reciprocal" |
+ ], |
+ "type": "string" |
+ }, |
"form": { |
"description": "The grammatical form.", |
"enum": [ |
@@ -782,179 +645,86 @@ |
], |
"type": "string" |
}, |
- "tense": { |
- "description": "The grammatical tense.", |
+ "number": { |
+ "description": "The grammatical number.", |
"enum": [ |
- "TENSE_UNKNOWN", |
- "CONDITIONAL_TENSE", |
- "FUTURE", |
- "PAST", |
- "PRESENT", |
- "IMPERFECT", |
- "PLUPERFECT" |
+ "NUMBER_UNKNOWN", |
+ "SINGULAR", |
+ "PLURAL", |
+ "DUAL" |
], |
"enumDescriptions": [ |
- "Tense is not applicable in the analyzed language or is not predicted.", |
- "Conditional", |
- "Future", |
- "Past", |
- "Present", |
- "Imperfect", |
- "Pluperfect" |
+ "Number is not applicable in the analyzed language or is not predicted.", |
+ "Singular", |
+ "Plural", |
+ "Dual" |
], |
"type": "string" |
- }, |
- "proper": { |
- "description": "The grammatical properness.", |
+ } |
+ }, |
+ "type": "object" |
+ }, |
+ "AnalyzeSyntaxRequest": { |
+ "description": "The syntax analysis request message.", |
+ "id": "AnalyzeSyntaxRequest", |
+ "properties": { |
+ "encodingType": { |
+ "description": "The encoding type used by the API to calculate offsets.", |
"enum": [ |
- "PROPER_UNKNOWN", |
- "PROPER", |
- "NOT_PROPER" |
+ "NONE", |
+ "UTF8", |
+ "UTF16", |
+ "UTF32" |
], |
"enumDescriptions": [ |
- "Proper is not applicable in the analyzed language or is not predicted.", |
- "Proper", |
- "Not proper" |
+ "If `EncodingType` is not specified, encoding-dependent information (such as\n`begin_offset`) will be set at `-1`.", |
+ "Encoding-dependent information (such as `begin_offset`) is calculated based\non the UTF-8 encoding of the input. C++ and Go are examples of languages\nthat use this encoding natively.", |
+ "Encoding-dependent information (such as `begin_offset`) is calculated based\non the UTF-16 encoding of the input. Java and Javascript are examples of\nlanguages that use this encoding natively.", |
+ "Encoding-dependent information (such as `begin_offset`) is calculated based\non the UTF-32 encoding of the input. Python is an example of a language\nthat uses this encoding natively." |
], |
"type": "string" |
}, |
- "mood": { |
- "description": "The grammatical mood.", |
- "enum": [ |
- "MOOD_UNKNOWN", |
- "CONDITIONAL_MOOD", |
- "IMPERATIVE", |
- "INDICATIVE", |
- "INTERROGATIVE", |
- "JUSSIVE", |
- "SUBJUNCTIVE" |
- ], |
- "enumDescriptions": [ |
- "Mood is not applicable in the analyzed language or is not predicted.", |
- "Conditional", |
- "Imperative", |
- "Indicative", |
- "Interrogative", |
- "Jussive", |
- "Subjunctive" |
- ], |
+ "document": { |
+ "$ref": "Document", |
+ "description": "Input document." |
+ } |
+ }, |
+ "type": "object" |
+ }, |
+ "AnalyzeSentimentResponse": { |
+ "description": "The sentiment analysis response message.", |
+ "id": "AnalyzeSentimentResponse", |
+ "properties": { |
+ "language": { |
+ "description": "The language of the text, which will be the same as the language specified\nin the request or, if not specified, the automatically-detected language.", |
"type": "string" |
}, |
- "tag": { |
- "description": "The part of speech tag.", |
- "enum": [ |
- "UNKNOWN", |
- "ADJ", |
- "ADP", |
- "ADV", |
- "CONJ", |
- "DET", |
- "NOUN", |
- "NUM", |
- "PRON", |
- "PRT", |
- "PUNCT", |
- "VERB", |
- "X", |
- "AFFIX" |
- ], |
- "enumDescriptions": [ |
- "Unknown", |
- "Adjective", |
- "Adposition (preposition and postposition)", |
- "Adverb", |
- "Conjunction", |
- "Determiner", |
- "Noun (common and proper)", |
- "Cardinal number", |
- "Pronoun", |
- "Particle or other function word", |
- "Punctuation", |
- "Verb (all tenses and modes)", |
- "Other: foreign words, typos, abbreviations", |
- "Affix" |
- ], |
- "type": "string" |
- }, |
- "number": { |
- "description": "The grammatical number.", |
- "enum": [ |
- "NUMBER_UNKNOWN", |
- "SINGULAR", |
- "PLURAL", |
- "DUAL" |
- ], |
- "enumDescriptions": [ |
- "Number is not applicable in the analyzed language or is not predicted.", |
- "Singular", |
- "Plural", |
- "Dual" |
- ], |
- "type": "string" |
- }, |
- "reciprocity": { |
- "description": "The grammatical reciprocity.", |
- "enum": [ |
- "RECIPROCITY_UNKNOWN", |
- "RECIPROCAL", |
- "NON_RECIPROCAL" |
- ], |
- "enumDescriptions": [ |
- "Reciprocity is not applicable in the analyzed language or is not\npredicted.", |
- "Reciprocal", |
- "Non-reciprocal" |
- ], |
- "type": "string" |
- }, |
- "voice": { |
- "description": "The grammatical voice.", |
- "enum": [ |
- "VOICE_UNKNOWN", |
- "ACTIVE", |
- "CAUSATIVE", |
- "PASSIVE" |
- ], |
- "enumDescriptions": [ |
- "Voice is not applicable in the analyzed language or is not predicted.", |
- "Active", |
- "Causative", |
- "Passive" |
- ], |
- "type": "string" |
- } |
- }, |
- "type": "object" |
- }, |
- "AnnotateTextResponse": { |
- "description": "The text annotations response message.", |
- "id": "AnnotateTextResponse", |
- "properties": { |
- "entities": { |
- "description": "Entities, along with their semantic information, in the input document.\nPopulated if the user enables\nAnnotateTextRequest.Features.extract_entities.", |
+ "sentences": { |
+ "description": "The sentiment for all the sentences in the document.", |
"items": { |
- "$ref": "Entity" |
+ "$ref": "Sentence" |
}, |
"type": "array" |
}, |
"documentSentiment": { |
"$ref": "Sentiment", |
- "description": "The overall sentiment for the document. Populated if the user enables\nAnnotateTextRequest.Features.extract_document_sentiment." |
- }, |
+ "description": "The overall sentiment of the input document." |
+ } |
+ }, |
+ "type": "object" |
+ }, |
+ "AnalyzeEntitiesResponse": { |
+ "description": "The entity analysis response message.", |
+ "id": "AnalyzeEntitiesResponse", |
+ "properties": { |
"language": { |
"description": "The language of the text, which will be the same as the language specified\nin the request or, if not specified, the automatically-detected language.\nSee Document.language field for more details.", |
"type": "string" |
}, |
- "tokens": { |
- "description": "Tokens, along with their syntactic information, in the input document.\nPopulated if the user enables\nAnnotateTextRequest.Features.extract_syntax.", |
- "items": { |
- "$ref": "Token" |
- }, |
- "type": "array" |
- }, |
- "sentences": { |
- "description": "Sentences in the input document. Populated if the user enables\nAnnotateTextRequest.Features.extract_syntax.", |
+ "entities": { |
+ "description": "The recognized entities in the input document.", |
"items": { |
- "$ref": "Sentence" |
+ "$ref": "Entity" |
}, |
"type": "array" |
} |
@@ -965,17 +735,16 @@ |
"description": "Represents a phrase in the text that is a known entity, such as\na person, an organization, or location. The API associates information, such\nas salience and mentions, with entities.", |
"id": "Entity", |
"properties": { |
- "metadata": { |
- "additionalProperties": { |
- "type": "string" |
+ "mentions": { |
+ "description": "The mentions of this entity in the input document. The API currently\nsupports proper noun mentions.", |
+ "items": { |
+ "$ref": "EntityMention" |
}, |
- "description": "Metadata associated with the entity.\n\nCurrently, Wikipedia URLs and Knowledge Graph MIDs are provided, if\navailable. The associated keys are \"wikipedia_url\" and \"mid\", respectively.", |
- "type": "object" |
+ "type": "array" |
}, |
- "salience": { |
- "description": "The salience score associated with the entity in the [0, 1.0] range.\n\nThe salience score for an entity provides information about the\nimportance or centrality of that entity to the entire document text.\nScores closer to 0 are less salient, while scores closer to 1.0 are highly\nsalient.", |
- "format": "float", |
- "type": "number" |
+ "name": { |
+ "description": "The representative name for the entity.", |
+ "type": "string" |
}, |
"type": { |
"description": "The entity type.", |
@@ -1001,79 +770,310 @@ |
], |
"type": "string" |
}, |
- "mentions": { |
- "description": "The mentions of this entity in the input document. The API currently\nsupports proper noun mentions.", |
- "items": { |
- "$ref": "EntityMention" |
+ "metadata": { |
+ "additionalProperties": { |
+ "type": "string" |
}, |
- "type": "array" |
+ "description": "Metadata associated with the entity.\n\nCurrently, Wikipedia URLs and Knowledge Graph MIDs are provided, if\navailable. The associated keys are \"wikipedia_url\" and \"mid\", respectively.", |
+ "type": "object" |
}, |
- "name": { |
- "description": "The representative name for the entity.", |
- "type": "string" |
+ "salience": { |
+ "description": "The salience score associated with the entity in the [0, 1.0] range.\n\nThe salience score for an entity provides information about the\nimportance or centrality of that entity to the entire document text.\nScores closer to 0 are less salient, while scores closer to 1.0 are highly\nsalient.", |
+ "format": "float", |
+ "type": "number" |
} |
}, |
"type": "object" |
}, |
- "Sentiment": { |
- "description": "Represents the feeling associated with the entire text or entities in\nthe text.", |
- "id": "Sentiment", |
+ "AnalyzeSyntaxResponse": { |
+ "description": "The syntax analysis response message.", |
+ "id": "AnalyzeSyntaxResponse", |
"properties": { |
- "score": { |
- "description": "Sentiment score between -1.0 (negative sentiment) and 1.0\n(positive sentiment).", |
- "format": "float", |
- "type": "number" |
+ "sentences": { |
+ "description": "Sentences in the input document.", |
+ "items": { |
+ "$ref": "Sentence" |
+ }, |
+ "type": "array" |
}, |
- "polarity": { |
- "description": "DEPRECATED FIELD - This field is being deprecated in\nfavor of score. Please refer to our documentation at\nhttps://cloud.google.com/natural-language/docs for more information.", |
- "format": "float", |
- "type": "number" |
+ "tokens": { |
+ "description": "Tokens, along with their syntactic information, in the input document.", |
+ "items": { |
+ "$ref": "Token" |
+ }, |
+ "type": "array" |
}, |
- "magnitude": { |
- "description": "A non-negative number in the [0, +inf) range, which represents\nthe absolute magnitude of sentiment regardless of score (positive or\nnegative).", |
- "format": "float", |
- "type": "number" |
+ "language": { |
+ "description": "The language of the text, which will be the same as the language specified\nin the request or, if not specified, the automatically-detected language.\nSee Document.language field for more details.", |
+ "type": "string" |
} |
}, |
"type": "object" |
}, |
- "Token": { |
- "description": "Represents the smallest syntactic building block of the text.", |
- "id": "Token", |
+ "AnnotateTextRequest": { |
+ "description": "The request message for the text annotation API, which can perform multiple\nanalysis types (sentiment, entities, and syntax) in one call.", |
+ "id": "AnnotateTextRequest", |
"properties": { |
- "text": { |
- "$ref": "TextSpan", |
- "description": "The token text." |
- }, |
- "partOfSpeech": { |
- "$ref": "PartOfSpeech", |
- "description": "Parts of speech tag for this token." |
+ "document": { |
+ "$ref": "Document", |
+ "description": "Input document." |
}, |
- "dependencyEdge": { |
- "$ref": "DependencyEdge", |
- "description": "Dependency tree parse for this token." |
+ "features": { |
+ "$ref": "Features", |
+ "description": "The enabled features." |
}, |
- "lemma": { |
- "description": "[Lemma](https://en.wikipedia.org/wiki/Lemma_%28morphology%29) of the token.", |
+ "encodingType": { |
+ "description": "The encoding type used by the API to calculate offsets.", |
+ "enum": [ |
+ "NONE", |
+ "UTF8", |
+ "UTF16", |
+ "UTF32" |
+ ], |
+ "enumDescriptions": [ |
+ "If `EncodingType` is not specified, encoding-dependent information (such as\n`begin_offset`) will be set at `-1`.", |
+ "Encoding-dependent information (such as `begin_offset`) is calculated based\non the UTF-8 encoding of the input. C++ and Go are examples of languages\nthat use this encoding natively.", |
+ "Encoding-dependent information (such as `begin_offset`) is calculated based\non the UTF-16 encoding of the input. Java and Javascript are examples of\nlanguages that use this encoding natively.", |
+ "Encoding-dependent information (such as `begin_offset`) is calculated based\non the UTF-32 encoding of the input. Python is an example of a language\nthat uses this encoding natively." |
+ ], |
"type": "string" |
} |
}, |
"type": "object" |
}, |
- "AnalyzeEntitiesResponse": { |
- "description": "The entity analysis response message.", |
- "id": "AnalyzeEntitiesResponse", |
+ "AnnotateTextResponse": { |
+ "description": "The text annotations response message.", |
+ "id": "AnnotateTextResponse", |
"properties": { |
"entities": { |
- "description": "The recognized entities in the input document.", |
+ "description": "Entities, along with their semantic information, in the input document.\nPopulated if the user enables\nAnnotateTextRequest.Features.extract_entities.", |
"items": { |
"$ref": "Entity" |
}, |
"type": "array" |
}, |
+ "documentSentiment": { |
+ "$ref": "Sentiment", |
+ "description": "The overall sentiment for the document. Populated if the user enables\nAnnotateTextRequest.Features.extract_document_sentiment." |
+ }, |
"language": { |
"description": "The language of the text, which will be the same as the language specified\nin the request or, if not specified, the automatically-detected language.\nSee Document.language field for more details.", |
"type": "string" |
+ }, |
+ "sentences": { |
+ "description": "Sentences in the input document. Populated if the user enables\nAnnotateTextRequest.Features.extract_syntax.", |
+ "items": { |
+ "$ref": "Sentence" |
+ }, |
+ "type": "array" |
+ }, |
+ "tokens": { |
+ "description": "Tokens, along with their syntactic information, in the input document.\nPopulated if the user enables\nAnnotateTextRequest.Features.extract_syntax.", |
+ "items": { |
+ "$ref": "Token" |
+ }, |
+ "type": "array" |
+ } |
+ }, |
+ "type": "object" |
+ }, |
+ "AnalyzeSentimentRequest": { |
+ "description": "The sentiment analysis request message.", |
+ "id": "AnalyzeSentimentRequest", |
+ "properties": { |
+ "encodingType": { |
+ "description": "The encoding type used by the API to calculate sentence offsets for the\nsentence sentiment.", |
+ "enum": [ |
+ "NONE", |
+ "UTF8", |
+ "UTF16", |
+ "UTF32" |
+ ], |
+ "enumDescriptions": [ |
+ "If `EncodingType` is not specified, encoding-dependent information (such as\n`begin_offset`) will be set at `-1`.", |
+ "Encoding-dependent information (such as `begin_offset`) is calculated based\non the UTF-8 encoding of the input. C++ and Go are examples of languages\nthat use this encoding natively.", |
+ "Encoding-dependent information (such as `begin_offset`) is calculated based\non the UTF-16 encoding of the input. Java and Javascript are examples of\nlanguages that use this encoding natively.", |
+ "Encoding-dependent information (such as `begin_offset`) is calculated based\non the UTF-32 encoding of the input. Python is an example of a language\nthat uses this encoding natively." |
+ ], |
+ "type": "string" |
+ }, |
+ "document": { |
+ "$ref": "Document", |
+ "description": "Input document. Currently, `analyzeSentiment` only supports English text\n(Document.language=\"EN\")." |
+ } |
+ }, |
+ "type": "object" |
+ }, |
+ "DependencyEdge": { |
+ "description": "Represents dependency parse tree information for a token.", |
+ "id": "DependencyEdge", |
+ "properties": { |
+ "headTokenIndex": { |
+ "description": "Represents the head of this token in the dependency tree.\nThis is the index of the token which has an arc going to this token.\nThe index is the position of the token in the array of tokens returned\nby the API method. If this token is a root token, then the\n`head_token_index` is its own index.", |
+ "format": "int32", |
+ "type": "integer" |
+ }, |
+ "label": { |
+ "description": "The parse label for the token.", |
+ "enum": [ |
+ "UNKNOWN", |
+ "ABBREV", |
+ "ACOMP", |
+ "ADVCL", |
+ "ADVMOD", |
+ "AMOD", |
+ "APPOS", |
+ "ATTR", |
+ "AUX", |
+ "AUXPASS", |
+ "CC", |
+ "CCOMP", |
+ "CONJ", |
+ "CSUBJ", |
+ "CSUBJPASS", |
+ "DEP", |
+ "DET", |
+ "DISCOURSE", |
+ "DOBJ", |
+ "EXPL", |
+ "GOESWITH", |
+ "IOBJ", |
+ "MARK", |
+ "MWE", |
+ "MWV", |
+ "NEG", |
+ "NN", |
+ "NPADVMOD", |
+ "NSUBJ", |
+ "NSUBJPASS", |
+ "NUM", |
+ "NUMBER", |
+ "P", |
+ "PARATAXIS", |
+ "PARTMOD", |
+ "PCOMP", |
+ "POBJ", |
+ "POSS", |
+ "POSTNEG", |
+ "PRECOMP", |
+ "PRECONJ", |
+ "PREDET", |
+ "PREF", |
+ "PREP", |
+ "PRONL", |
+ "PRT", |
+ "PS", |
+ "QUANTMOD", |
+ "RCMOD", |
+ "RCMODREL", |
+ "RDROP", |
+ "REF", |
+ "REMNANT", |
+ "REPARANDUM", |
+ "ROOT", |
+ "SNUM", |
+ "SUFF", |
+ "TMOD", |
+ "TOPIC", |
+ "VMOD", |
+ "VOCATIVE", |
+ "XCOMP", |
+ "SUFFIX", |
+ "TITLE", |
+ "ADVPHMOD", |
+ "AUXCAUS", |
+ "AUXVV", |
+ "DTMOD", |
+ "FOREIGN", |
+ "KW", |
+ "LIST", |
+ "NOMC", |
+ "NOMCSUBJ", |
+ "NOMCSUBJPASS", |
+ "NUMC", |
+ "COP", |
+ "DISLOCATED" |
+ ], |
+ "enumDescriptions": [ |
+ "Unknown", |
+ "Abbreviation modifier", |
+ "Adjectival complement", |
+ "Adverbial clause modifier", |
+ "Adverbial modifier", |
+ "Adjectival modifier of an NP", |
+ "Appositional modifier of an NP", |
+ "Attribute dependent of a copular verb", |
+ "Auxiliary (non-main) verb", |
+ "Passive auxiliary", |
+ "Coordinating conjunction", |
+ "Clausal complement of a verb or adjective", |
+ "Conjunct", |
+ "Clausal subject", |
+ "Clausal passive subject", |
+ "Dependency (unable to determine)", |
+ "Determiner", |
+ "Discourse", |
+ "Direct object", |
+ "Expletive", |
+ "Goes with (part of a word in a text not well edited)", |
+ "Indirect object", |
+ "Marker (word introducing a subordinate clause)", |
+ "Multi-word expression", |
+ "Multi-word verbal expression", |
+ "Negation modifier", |
+ "Noun compound modifier", |
+ "Noun phrase used as an adverbial modifier", |
+ "Nominal subject", |
+ "Passive nominal subject", |
+ "Numeric modifier of a noun", |
+ "Element of compound number", |
+ "Punctuation mark", |
+ "Parataxis relation", |
+ "Participial modifier", |
+ "The complement of a preposition is a clause", |
+ "Object of a preposition", |
+ "Possession modifier", |
+ "Postverbal negative particle", |
+ "Predicate complement", |
+ "Preconjunt", |
+ "Predeterminer", |
+ "Prefix", |
+ "Prepositional modifier", |
+ "The relationship between a verb and verbal morpheme", |
+ "Particle", |
+ "Associative or possessive marker", |
+ "Quantifier phrase modifier", |
+ "Relative clause modifier", |
+ "Complementizer in relative clause", |
+ "Ellipsis without a preceding predicate", |
+ "Referent", |
+ "Remnant", |
+ "Reparandum", |
+ "Root", |
+ "Suffix specifying a unit of number", |
+ "Suffix", |
+ "Temporal modifier", |
+ "Topic marker", |
+ "Clause headed by an infinite form of the verb that modifies a noun", |
+ "Vocative", |
+ "Open clausal complement", |
+ "Name suffix", |
+ "Name title", |
+ "Adverbial phrase modifier", |
+ "Causative auxiliary", |
+ "Helper auxiliary", |
+ "Rentaishi (Prenominal modifier)", |
+ "Foreign words", |
+ "Keyword", |
+ "List for chains of comparable items", |
+ "Nominalized clause", |
+ "Nominalized clausal subject", |
+ "Nominalized clausal passive", |
+ "Compound of numeric modifier", |
+ "Copula", |
+ "Dislocated relation (for fronted/topicalized elements)" |
+ ], |
+ "type": "string" |
} |
}, |
"type": "object" |