Language Model

A simple Language model having features such as Autocomplete, Spell Check, Word Segmenter, Custom Entity Tagger, Nearest Words.

Index

Autocomplete : predict the future words/sentences on the basis of given words/letters.
Spell Check : Returns the correct candididates word for the entered wrong word.
Entity Tagger : Returns the entities in a given correct or disambiguated query, along with the domains to which they belongs.
Word Segmenter : Returns the segmented words from given joined query/sentence.
Nearest words :Returns the nearest words to the given word.

$ git clone https://github.com/codeorbit/Language_Model
$ cd Language_Model && pip install -r requirements.txt

Fire it up! 🌋

$ python api.py

Created api calls for each features which returns result as json.

List of api : Request http://localhost:7777/language_model/
- Result : will show all api call urls.
Autocomplete : Request http://localhost:7777/language_model/autocomplete/<name> where name will be word/sentence/letter (without angle brackets).
- Result : list of words or sentences which can come after the given word/sentence/letter in decreasing order of their probability.
Spell Check : Request http://localhost:7777/language_model/spellcheck/<name> where name will be incorrect word (wihtout angle brackets).
- Result : list of correct candidate words for entered incorrect word.
Word Segmenter : Request http://localhost:7777/language_model/wordsegment/<name> where name will be joined words or sentences (without angle brackets) for e.g. googlegmail .
- Result : Returns the list of segmented words for e.g. [google,gmail].
Entity Tagger : Request http://localhost:7777/language_model/getentity/<name> where name will be sentences or words after removing stopwords.
- Result : Returns given query, tagged entities, and their domains and disambiguation link.
Nearest Words : Request http://localhost:7777/language_model/nearestword/<name> where name will be word for which nearest needs to be find.
- Result : Returns list of top 5 nearest words.
- Alternate : Request http://localhost:7777/language_model/nearestword/<name>/<top_n> where top_n will be integer. This will return top_n nearest results.

You can tweet me if you can't get it to work. In fact, you should tweet me anyway.