Showing 5 open source projects for "text summarizer"

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  • 1
    Desktop Plagiarism Checker

    Desktop Plagiarism Checker

    Free plagiarism software for .NET (Windows 7, 8.1, 10, 11)

    Plagiarisma tools are a valuable resource for anyone who wants to ensure the originality and accuracy of their written work. The plagiarism checker is a useful tool for detecting any instances of copied content in a document. It compares the text with a vast database of sources to determine the level of similarity and highlights any potential areas of concern. The paraphraser tool allows writers to rephrase their sentences to avoid plagiarism, while the summarizer provides a concise overview...
    Downloads: 3 This Week
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  • 2
    We have implemented a core summarizer of scientific articles written in Spanish, with the following components: a tokenizer, a grammar checker, a clarity checker, a cohesion-coherence checker, a common-topic extractor and an output formatter.
    Downloads: 0 This Week
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  • 3
    Text Expander, Inverse summarizer

    Text Expander, Inverse summarizer

    Expand text, inverse summarizer

    IT WILL WORK WITH A JAVA DEVELOPMENT KIT 1.7 ONLY !!! This program is a data-miner and a knowledge-miner. It does exactly the opposite of what the text summarizers do. A text summarizer produces a shortened text given some text as an input. An inverse summarizer takes the shortened input, a similar or a same text and does the process in reverse. This results in an expanded text. It can be used with any text or notes that have the knowledge gaps. It is a great aid to any creative work...
    Downloads: 2 This Week
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  • 4
    TexLexAn is an open source text analyser for Linux, able to estimate the readability and reading time, to classify and summarize texts. It has some learning abilities and accepts html, doc, pdf, ppt, odt and txt documents. Written in C and Python.
    Downloads: 0 This Week
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  • 5

    Auto Summarization tool using java

    Auto summarization provides a concise summary for a document.

    Auto summarization provides a concise summary for a document. In this I present a Statistical approach to addressing the text generation problem in domain-independent, single-document summarization. My thesis Includes salton’s vector space model which divides the sentences into categories which can also be used for summarizing the contents in WebPages. The summarizer initially breaks the entire document into sentences based on the separators. The Second step is that the unnecessary words...
    Downloads: 0 This Week
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