Displaying 1 to 11 from 11 results

NTextCat

  •    

NTextCat is text classification utility. Primary target is language identification. So it helps you to recognize (identify) the language of text (or binary) snippet. Pure .net application (C#).

pyEssayAnalyser - An essay Analyser & Summariser, using Flask for the API and NLTK for the language processing

  •    Javascript

An essay Analyser & Summariser, using Flask for the API and NLTK for the language processing. Head over to http://127.0.0.1:5000/ in your browser, you should see the Hello World greetings.

pynlg - ``pynlg`` is a pure python re-implementation of [SimpleNLG-EnFr](https://github

  •    Python

pynlg is a pure python re-implementation of SimpleNLG-EnFr, a java library enabling french and english text surface realisation, based on SimpleNLG. pynlg supports Python2.7 and 3.5. Python 3.3 and 3.4 should work, but are untested.




monkeylearn-node - Official Node client for the MonkeyLearn API

  •    Javascript

Official Node client for the MonkeyLearn API. Build and consume machine learning models for language processing from your Node apps. A response also has a raw_responses array, which has all the actual responses that were sent by the API. Usually this is only needed in case of an error. These raw responses are objects with the following attributes: body, status, headers.

monkeylearn-php - Official PHP client for the MonkeyLearn API

  •    PHP

Official PHP client for the MonkeyLearn API. Build and consume machine learning models for language processing from your PHP apps.

monkeylearn-python - Official Python client for the MonkeyLearn API

  •    Python

Official Python client for the MonkeyLearn API. Build and run machine learning models for language processing from your Python apps. Classify and Extract endpoints might require more than one request to the MonkeyLearn API in order to process every text in the data parameter. If the auto_batch parameter is True (which is the default value), you won't have to keep the data length below the max allowed value (200). You can just pass the full list and the library will handle the batching and make the necessary requests. If the retry_if_throttled parameter is True (which is the default value), it will also wait and retry if the API throttled a request.


monkeylearn-ruby - Official Ruby client for the MonkeyLearn API

  •    Ruby

Official Ruby client for the MonkeyLearn API. Build and consume machine learning models for language processing from your Ruby apps.

lingua - The most accurate natural language detection library for Java and other JVM languages, suitable for long and short text alike

  •    Kotlin

Lingua is a language detection library for Java and other JVM languages, suitable for long and short text alike. Its task is simple: It tells you which language some provided textual data is written in. This is very useful as a preprocessing step for linguistic data in natural language processing applications such as text classification and spell checking. Other use cases, for instance, might include routing e-mails to the right geographically located customer service department, based on the e-mails' languages.

dictmaker - A stand-alone, single-binary server application for building and publishing dictionary websites

  •    Go

dictmaker is a stand-alone, single-binary server application for building and publishing dictionary websites. Alar (Kannada-English dictionary) is an example in production. dictmaker has no concept of language or semantics. To make a universal dictionary interface possible, it treats all data as unicode strings that can be searched with Postgres DB's fulltext capabilities, where search tokens are generated and stored along with the dictionary entries. There are several built-in fulltext dictionaries and tokenizers that Postgres supports out of the box, mostly European languages (\dFd lists installed dictionaries). For languages that do not have fulltext dictionaries, it is possible to generate search tokens manually using an external algorithm. For instance, to make a phonetic English dictionary, Metaphone tokens can be generated manually and search queries issued against them.