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package lingo provides the data structures and algorithms required for natural language processing.Specifically, it provides a POS Tagger (lingo/pos), a Dependency Parser (lingo/dep), and a basic tokenizer (lingo/lexer) for English. It also provides data structures for holding corpuses (lingo/corpus), and treebanks (lingo/treebank).
An implementation of selected machine learning algorithms for basic natural language processing in golang. The initial focus for this project is Latent Semantic Analysis to allow retrieval/searching, clustering and classification of text documents based upon semantic content.Built upon the gonum/gonum matrix library with some inspiration taken from Python's scikit-learn.
You will always begin by creating a NL type calling nlp.New(), the NL type is a Natural Language Processor that owns 3 funcs, RegisterModel(), Learn() and P().RegisterModel takes 3 parameters, an empty struct, a set of samples and some options for the model.
11411 Natural Language Processing Final Project. Reads wikipedia articles, and then can both answer natural-language questions about the article as well as generate comprehension questions. Built using ARKref Noun Phrase Coreference developed by Brendan O'Connor and Michael Heilman, and NLTK (a common natural language toolkit for Python).
Eventually, CL-NLP will provide a comprehensive and extensible set of tools to solve natural language processing problems in Common Lisp.It comprises of a number of utility/horizontal and end-user/vertical modules that implement the basic functions and provide a way to add own extensions and models.
The goal of this package is to provide easy to use implementations of a few functions relating to natural language processing. The implementations will initially be rudimentary and I encourage feedback and contribution.
Natural Language Framework is intended to be a collection of bindings for Ruby and provide access to general purpose NLP components. OpenNLP, GATE components, standalone tools (TreeTagger, Stanford Parser, etc.) will be accessible through NLFW.