Search Results for "language processing"
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Showing 8 open source projects for "language processing"
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This package contains different tools to add NLP capabilities for Lucene 4.x (it has been tested using Lucene version from 4.6.x to 4.8.1). Although it was originally developed for German, it is, mostly, language independent. It allows the user to lemmatize words to be indexed, to weight termy ba their parts of speech (e.g. weighting nouns mor hevaily than pronouns), and to add synonyms taken from GermaNet or a list you provide to the search index and thereby increase recall of lucene.
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SEO & SEM - Marketing Text Writer
Open Source SEO & SEM Text Creation Tools for free Article Writer
Open Source Tool for Search Engine Optimization (SEO & SEM) used for automatic content processing. These SEO Content Genrators and Article Writers based on Text Writer: https://www.artikelschreiber.com/en/ https://www.unaique.net/en/ https://www.unaique.com/ https://www.artikelschreiben.com/ https://www.buzzerstar.com/ https://googleduplicatecontentsolver.sourceforge.io/ https://inkassos.github.io/inkasso/ https://www.artikelschreiber.com/opensource/ https://www.sebastianenger.com/ https://www.artikelschreiber.com/marketing/review/ https://muckrack.com/markus-muller https://linktr.ee/textgenerator Code Contains: - Perl Source code, language databases and more -
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This project aims to build a suite of Natural Language Processing tools. Modules will include corpus indexing and access tools, a part-of-speech tagger, tokenisers, text classification software, etc.
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The Wikipedia Miner toolkit provides simplified access to Wikipedia. This open encyclopedia represents a vast, constantly evolving multilingual database of concepts and semantic relations; a promising resource for nlp and related research.
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Stop vibe-debugging.AppSignal's MCP server hands Claude, Cursor, or Zed your real errors, traces, and the deploy that shipped them. AI writes the fix; you review the diff.
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A system to perform analysis of large documents for the purpose of cataloging similar documents. Similarity is based upon contextual analysis of these documents done by identifying common words and proper nouns.
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Provide a robust and efficient implementation of n-gram based classifiers to Java. N-Gram algorithms have shown to be surprisingly good at tasks like guessing the language/encoding from an arbitrary text file. And there are many more applications.
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SYRAH si propone di far emergere e rappresentare i concetti espressi per mezzo di un linguaggio naturale. SYRAH aims to discover and represent concepts expressed in natural languages. NLP, lemma, lemmario, italiano, rete, semantica, clustering, semantic
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A WebCrawler for Natural Language Processing. This WebCrawler searches for monolingual (in a specified language) and bilingual, parallel text.
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