Part-Of-Speech Tagging API

Part-Of-Speech Tagging API

This API will help you tag different parts of any speech provided. Tags the provided text with parts of speech (such as nouns, verbs, adjectives, adverbs, etc.)

API description

About the API:

In corpus linguistics, part-of-speech tagging (POS tagging or PoS tagging or POST), also called grammatical tagging is the process of marking up a word in a text (corpus) as corresponding to a particular part of speech,[1] based on both its definition and its context. A simplified form of this is commonly taught to school-age children, in the identification of words as nounsverbsadjectivesadverbs, etc.

 

What this API receives and what your API provides (input/output)?

Pass any text to this API as a JSON, and receive all the possible tags for the different parts of the speech.  

 

What are the most common uses cases of this API?

 

Use this API to retrieve semantic information from given texts. 

Great API for Machine Learning training. Use the data to train your models so they can easily recognize different parts of the speech as well. 

 

Are there any limitations to your plans?

Besides API call limitations per month, there are no other limitations.

API Documentation

Endpoints


Tags the provided text with parts of speech (such as nouns, verbs, adjectives, adverbs, etc.).

Part-of-Speech Labels:
CC - Coordinating conjunction
CD - Cardinal number
DT - Determiner
EX - Existential there
FW - Foreign word
HYPH - Hyphen
IN - Preposition or subordinating conjunction
JJ - Adjective
JJR - Adjective, comparative
JJS - Adjective, superlative
LS - List item marker
MD - Modal
NFP - Superfluous punctuation
NN - Noun, singular or mass
NNP - Proper noun, singular
NNPS - Proper noun, plural
NNS - Noun, plural
PDT - Predeterminer
POS - Possessive ending
PRP - Personal pronoun
PRP$ - Possessive pronoun
RB - Adverb
RBR - Adverb, comparative
RBS - Adverb, superlative
RP - Particle
SYM - Symbol
TO - to
UH - Interjection
VB - Verb, base form
VBD - Verb, past tense
VBG - Verb, gerund or present participle
VBN - Verb, past participle
VBP - Verb, non-3rd person singular present
VBZ - Verb, 3rd person singular present
WDT - Wh-determiner
WP - Wh-pronoun
WP$ - Possessive wh-pronoun
WRB - Wh-adverb
XX - Unknown
ADD - Email
AFX - Affix



                                                                            
POST https://zylalabs.com/api/821/part-of-speech+tagging+api/580/pos+tagging
                                                                            
                                                                        

POS Tagging - Endpoint Features
Object Description
Request Body [Required] Json
Test Endpoint

API EXAMPLE RESPONSE

       
                                                                                                        
                                                                                                                                                                                                                            {"Example Response":"No response example available for now."}
                                                                                                                                                                                                                    
                                                                                                    

POS Tagging - CODE SNIPPETS


curl --location --request POST 'https://zylalabs.com/api/821/part-of-speech+tagging+api/580/pos+tagging' --header 'Authorization: Bearer YOUR_API_KEY' 

    

API Access Key & Authentication

After signing up, every developer is assigned a personal API access key, a unique combination of letters and digits provided to access to our API endpoint. To authenticate with the Part-Of-Speech Tagging API REST API, simply include your bearer token in the Authorization header.

Headers

Header Description
Authorization [Required] Should be Bearer access_key. See "Your API Access Key" above when you are subscribed.


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 Service Level
100%
 Response Time
882ms

Category:

NLP

Tags:


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