Search Results for "word" - Page 2
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Showing 34 open source projects for "word"
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Arabic WordNet: A multi-lingual concept dictionary with mappings between word senses in Arabic and those in the Princeton WordNet (English) v2.0. Supports searching and browsing of Arabic and English terms.
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A voice recognition application which detect Quran (Islamic Holy book) pronunciation and result in a detection success percentage for each word of the Quran statements, when complete it can be considered a base for Arabic language recognition.
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The Word Vector Tool is a simple but flexible Java library to create word vector representations of text documents. Word vectors can be used for various text processing tasks, as text classification, text clustering or information retrieval.
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JVnSegmenter is a Java-based and open-source Vietnamese word segmentation tool. The segmentation model was trained on about 8,000 sentences using Conditional Random Fields (FlexCRFs). This tool would be useful for Vietnamese NLP community.
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JTextPro: A Java-based Text Processing tool that includes sentence boundary detection (using maximum entropy classifier), word tokenization (following Penn conventions), part-of-speech tagging (using CRFTagger), and phrase chunking (using CRFChunker).
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AutoSummary uses Natural Language Processing to generate a contextually-relevant synopsis of plain text. It uses statistical and rule-based methods for part-of-speech tagging, word sense disambiguation, sentence deconstruction and semantic analysis.
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OC Volume is a speech recognition engine written in Java for integration with other applications. It is currently an User-Dependent Isolated Word Recognizer and can be expanded to include more capability for recognition.
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WhiteBeer is a new programming paradigm that is motivated by Noam Chomsky's Minimalist Program. It uses feature checking mechanism to parse programs so that it can provide word-order-independence like natural language processing.
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AraRooter
Find Arabic Root Word
Using Machine Learning, AraRooter finds the three-lettered root of any Arabic lemma with around 84% accuracy. -
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