text2vec supports efficient text vectorisation, document-term matrices, word embeddings, similarity analysis, and topic modelling in R.
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Tag: nlp
Moses – statistical machine translation system
Moses trains and decodes statistical machine translation models from parallel text, with phrase-based, hierarchical, and factored models.
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TiMBL – Tilburg Memory-Based Learner
TiMBL implements memory-based classifiers for NLP, including weighted nearest-neighbour learning, decision trees, and model evaluation.
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MeTA – text retrieval and data analysis toolkit
MeTA combines text tokenization, indexing, classification, ranking, topic models and linguistic processing in one research toolkit.
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CRF++ – conditional random field sequence labelling toolkit
CRF++ provides trainable conditional random fields for sequence tagging, supporting feature templates, n-best output and probabilities.
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BLLIP Parser – statistical constituency parser
BLLIP Parser analyses English sentence structure using a generative constituency parser and discriminative reranking models.
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Colibri Core – efficient corpus pattern modelling
Colibri Core extracts n-grams, skipgrams and flexgrams from text corpora, builds compact pattern models, and computes pattern statistics.
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GATE – natural language processing and information extraction framework
GATE provides Java-based language processing with visual annotation tools, information extraction, JAPE rules and extensible plugins.
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Apache OpenNLP – machine learning toolkit for natural language processing
Apache OpenNLP provides Java tools for language detection, tokenisation, parsing, entity recognition and trainable text analysis.
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Stanford CoreNLP – natural language processing toolkit
Stanford CoreNLP provides Java-based text analysis with tokenisation, named entities, parsing, coreference and multilingual models.
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CogComp-NLP – state-of-the-art Natural Language Processing (NLP) tools
CogComp-NLP provides a suite of state-of-the-art Natural Language Processing (NLP) tools that allows you to annotate plain text inputs.
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ReVerb – automatically identifies and extracts binary relationships from English sentences
ReVerb automatically identifies and extracts binary relationships from English sentences. It’s designed for Web-scale information extraction.
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NLP4J – NLP framework for JVM languages
The Natural Language Processing for JVM languages (NLP4J) project provides NLP tools, frameworks, and an API. Free and open source.
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MALLET – statistical natural language processing toolkit
MALLET provides Java tools for topic modelling, document classification, sequence tagging, clustering and statistical text analysis.
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Tika – content analysis toolkit
Tika detects file formats and extracts text and metadata from documents, emails and archives for indexing, analysis and search.
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UIMA – framework for unstructured information analysis
Apache UIMA builds text-analysis pipelines with typed annotations, reusable components, CAS data structures and Java integration.
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