sergey_tihon 

Stanford CoreNLP provides a set of natural language analysis tools which can take raw English language text input and give the base forms of words, their parts of speech, whether they are names of companies,... More information

FsLex/FsYacc lexer/parser generation tools

A natural language parser is a program that works out the grammatical structure of sentences, for instance, which groups of words go together (as \"phrases\") and which words are the subject or object of a... More information

"A Part-Of-Speech Tagger (POS Tagger) is a piece of software that reads text in some language and assigns parts of speech to each word (and other token), such as noun, verb, adjective, etc., although generally... More information

Runtime for FsLex/FsYacc lexer/parser generation tools

Stanford NER (also known as CRFClassifier) is a Java implementation of a Named Entity Recognizer. Named Entity Recognition (NER) labels sequences of words in a text which are the names of things, such as person... More information

Tokenization of raw text is a standard pre-processing step for many NLP tasks. For English, tokenization usually involves punctuation splitting and separation of some affixes like possessives. Other languages... More information

F# extensions for Stanford.NLP.Parser

The Apache OpenNLP library is a machine learning based toolkit for the processing of natural language text. It supports the most common NLP tasks, such as tokenization, sentence segmentation, part-of-speech... More information

A type provider for Microsoft Dynamics CRM 2011.

Easily query your Hive database in F# projects

MaltParser is a system for data-driven dependency parsing, which can be used to induce a parsing model from treebank data and to parse new data using an induced model.