Showing 8 open source projects for "named entity recognition source code"

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  • 1
    Apache OpenNLP

    Apache OpenNLP

    Apache OpenNLP

    Apache OpenNLP is a machine learning-based NLP library that provides tools for text-processing tasks such as tokenization, sentence segmentation, and named entity recognition.
    Downloads: 0 This Week
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  • 2
    VnCoreNLP

    VnCoreNLP

    A Vietnamese natural language processing toolkit

    VnCoreNLP is a Java-based natural language processing toolkit tailored for Vietnamese. It offers a fast and accurate pipeline for essential NLP tasks, facilitating research and application development in Vietnamese language processing. ​
    Downloads: 9 This Week
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  • 3
    Welsh Natural Language Toolkit
    The project supports the Welsh Language Technology domain with a set of NLP tools that drive innovation and advance the development of sophisticated textual analysis solutions. The WNLT project delivers four core NLP modules; a) Word Segmentation for separating text into words b) Sentence Boundary Disambiguation for finding sentence boundaries c) Part of Speech Tagger for determining the part of speech of each word d) Morphological Analyser for identifying the root form (lemma) of words....
    Downloads: 0 This Week
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  • 4
    Welsh Natural Language Toolkit

    Welsh Natural Language Toolkit

    WNLT is a suite of open source natural language modules for the Welsh

    The project supports the Welsh Language Technology domain with a set of NLP tools that drive innovation and advance the development of sophisticated textual analysis solutions. The WNLT project delivers four core NLP modules; a) Word Segmentation for separating text into words b) Sentence Boundary Disambiguation for finding sentence boundaries c) Part of Speech Tagger for determining the part of speech of each word d) Morphological Analyser for identifying the root form (lemma) of words....
    Downloads: 2 This Week
    Last Update:
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  • 5
    The software annotates text with 41 broad semantic categories (Wordnet supersenses) for both nouns and verbs; i.e., it performs both sense disambiguation and named-entity recognition. The tagger implements a discriminatively-trained Hidden Markov Model.
    Downloads: 0 This Week
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  • 6
    An information extraction library implementing modern algorithms for the extraction of named entities from text.
    Downloads: 0 This Week
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  • 7
    BKSkimmer
    An Vietnamese Information Extractor
    Downloads: 0 This Week
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  • 8
    TBLTools is a set of GATE processing resources that implements the Fast Transformation Based Learning Algorithm. You can train it to learn rules for NLP tasks such as Named Entity Recognition and Shallow parsing.
    Downloads: 0 This Week
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