Showing 5 open source projects for "corpus analysis"

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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
    TextTools
    TextTools is a freeware corpus linguistics tool developed in Python to aid in research. This program analyzes user-created corpora and displays information about word (token) frequency, n-grams, clusters, collocations, keyword in context (KWIC), and keyness. TextTools is designed to be user-friendly and intuitive and will run natively on Mac OS X.
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  • 3
    An open-source corpus analysis class library written in C#. GUI of Tenka Text 0.1.3 comes with Wordlister - an advanced, extremely fast graphical wordlist tool and a simple regex concordance tool. Tenka Text - the open-source answer to WordSmith Tool
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  • 4
    This proyect presents a system, which, from a corpus of documents, extracts information about a theme area, and a pedagogical components collection. This information is packed into fine granularity learning objects (metadata included).
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  • 5
    BabyTALK is to add another brick in the wall of natural languages learning. The baby needs to structure a corpus of texts when his tutor points and talks about a particular part of the corpus. The baby is also to describe any selected part of the corpus.
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