Showing 5 open source projects for "frequency"

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  • 1
    jieba

    jieba

    Stuttering Chinese word segmentation

    "Jaba" Chinese word segmentation, do the best Python Chinese word segmentation component. Four word segmentation modes are supported. 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...
    Downloads: 0 This Week
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  • 2

    Ghawwas_V4

    An open source system for Arabic corpora processing

    Ghawwas (previously known as Khawas) is an open source system for Arabic corpora processing. Ghawwas V4.0 provides the following main functions: a. Frequency list for single word and N-Grams b. Concordance c. Collocation (MI, CHI Squared, LL, T-Score, Z Score, Dice, Log Dice, Weirdness Coefficient) d. Lexical patterns search e. Two corpora frequency profile comparison based on MI, CHI, LL, T-Score, Z Score, Dice, Log Dice, Weirdness Coefficient f. Accept Windows and UTF-8 character encoding g. ...
    Downloads: 1 This Week
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  • 3

    Indexmeister

    automatic indexing for large LaTex documents

    Indexmeister reads a variety of formats (.tex, .docx, .epub, and others) and suggests keywords for indexing. The included program Imbrowse provides a semi-automatic interface to rapidly add index tags to multi-file latex documents.
    Downloads: 0 This Week
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  • 4
    TF-IDF.jar is a Java Archive file to measure TF-IDF of each document in a document collection (corpus). The jar can be used to (a) get all the terms in the corpus (b) get the document frequency (DF) and inverse document frequency (IDF) of all the terms in the corpus (c) get the TF-IDF of each document in the corpus (d) get each term with their frequency (no. of presence), term frequency (TF) and TF-IDF in every document
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  • 5
    Gothe is a writing aid in picking the most appropriate prepositions or synonyms in a text. It does this by checking the frequency of appearance of different combination on Google.
    Downloads: 0 This Week
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