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MicrosoftWebLangModel

FREE
By zakutynsky
Updated 9 days ago
Machine Learning
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MicrosoftWebLangModel API Documentation

Automate a variety of standard natural language processing tasks using state-of-the-art language modeling APIs

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POSTbreakIntoWords
POSTcalculateConditionalProbability
POSTcalculateJointProbability
POSTgenerateNextWords
POSTlistAvailableModels
POSTbreakIntoWords

Insert spaces into a string of words lacking spaces, like a hashtag or part of a URL. Punctuation or exotic characters can prevent a string from being broken, so it’s best to limit input strings to lower-case, alpha-numeric characters.

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Header Parameters
X-RapidAPI-KeySTRING
REQUIRED
Required Parameters
modelSELECT
REQUIREDWhich model to use, supported value: title/anchor/query/body
textSTRING
REQUIREDThe line of text to break into words. If spaces are present, they will be interpreted as hard breaks and maintained, except for leading or trailing spaces, which will be trimmed.
keyCREDENTIALS
REQUIREDSubscription key which provides access to this API.
Optional Parameters
orderSELECT
OPTIONALThe order of N-gram. If not specified, use default value 5 .Supported value: 1, 2, 3, 4, 5.
maxNumOfCandidatesReturnedNUMBER
OPTIONALMax number of candidates would be returned. If not specified, use default value 5.
Request Snippet
unirest.post("https://MicrosoftWebLangModelzakutynskyV1.p.rapidapi.com/breakIntoWords")
.header("X-RapidAPI-Key", "undefined")
.header("Content-Type", "application/x-www-form-urlencoded")
.send("order=undefined")
.send("maxNumOfCandidatesReturned=undefined")
.end(function (result) {
  console.log(result.status, result.headers, result.body);
});
Sample Response

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Install SDK for NodeJS

Installing

To utilize unirest for node.js install the the npm module:

$ npm install unirest

After installing the npm package you can now start simplifying requests like so:

var unirest = require('unirest');

Creating Request

unirest.post("https://MicrosoftWebLangModelzakutynskyV1.p.rapidapi.com/breakIntoWords")
.header("X-RapidAPI-Key", "undefined")
.header("Content-Type", "application/x-www-form-urlencoded")
.send("order=undefined")
.send("maxNumOfCandidatesReturned=undefined")
.end(function (result) {
  console.log(result.status, result.headers, result.body);
});
OAuth2 Authentication
Client ID
Client Secret
OAuth2 Authentication

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