Showing 3 open source projects for "search engine code"

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  • 1
    jieba

    jieba

    Stuttering Chinese word segmentation

    ...Precise mode, which tries to cut the sentence most precisely, suitable for text analysis. Full mode, scans all the words that can be formed into words in the sentence, the speed is very fast, but the ambiguity cannot be resolved. The search engine mode, on the basis of the precise mode, divides the long words again to improve the recall rate, which is suitable for word segmentation in search engines. The paddle mode uses the PaddlePaddle deep learning framework to train the sequence labeling (bidirectional GRU) network model to achieve word segmentation. Also supports part-of-speech tagging. ...
    Downloads: 0 This Week
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  • 2
    QJDicExample

    QJDicExample

    QJDicExample is an English <-> Japanese dictionary.

    QJDicExample is an Japanese to English and English to Japanese dictionary featuring words/names/kanji/sentences search. QJDicExample uses JMdict, JMnedict, Kanjidic2, Radkfilex, KanjiVG, Tanaka Corpus / Tatoeba databases for translations and zinnia recognition library for handwritten kanji recognition. Latest source code: git clone git://git.code.sf.net/p/qjdicexample/code qjdicexample-code
    Downloads: 0 This Week
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  • 3
    Hogan.js

    Hogan.js

    A compiler for the Mustache templating language

    Hogan.js is a 2.5k JS templating engine developed at Twitter. Use it as a part of your asset packager to compile templates ahead of time or include it in your browser to handle dynamic templates. If you're developing with Node.js, just use NPM to add the Hogan package. Hogan.js was developed against the mustache test suite, so everything that holds true for templates is also the case for hogan.js. That means you get variables, sections, lambdas, partials, filters, and everything else you've...
    Downloads: 0 This Week
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