mteval | Evaluation Metrics and Algorithms for Machine Translation | Machine Learning library

 by   odashi C++ Version: v1.0.1 License: LGPL-3.0

kandi X-RAY | mteval Summary

kandi X-RAY | mteval Summary

mteval is a C++ library typically used in Artificial Intelligence, Machine Learning, Example Codes applications. mteval has no bugs, it has no vulnerabilities, it has a Weak Copyleft License and it has low support. You can download it from GitHub.

This software inplements some major machine translation evaluation metrics and evaluation algorithms to be easily used. If you used MTEval toolkit, please refer this software on your document with below link: *
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            kandi-support Support

              mteval has a low active ecosystem.
              It has 66 star(s) with 15 fork(s). There are 6 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 1 open issues and 2 have been closed. On average issues are closed in 6 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of mteval is v1.0.1

            kandi-Quality Quality

              mteval has 0 bugs and 0 code smells.

            kandi-Security Security

              mteval has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              mteval code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              mteval is licensed under the LGPL-3.0 License. This license is Weak Copyleft.
              Weak Copyleft licenses have some restrictions, but you can use them in commercial projects.

            kandi-Reuse Reuse

              mteval releases are available to install and integrate.
              Installation instructions, examples and code snippets are available.

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            mteval Key Features

            No Key Features are available at this moment for mteval.

            mteval Examples and Code Snippets

            No Code Snippets are available at this moment for mteval.

            Community Discussions

            QUESTION

            What is the difference between mteval-v13a.pl and NLTK BLEU?
            Asked 2017-Sep-12 at 00:22

            There is an implementation of BLEU score in Python NLTK, nltk.translate.bleu_score.corpus_bleu

            But I am not sure if it is the same as the mtevalv13a.pl script.

            What is the difference between them?

            ...

            ANSWER

            Answered 2017-Sep-07 at 07:29

            In Short

            No, the BLEU in NLTK isn't the exactly the same as the mteval-13a.perl.

            But it can get really close, see https://github.com/nltk/nltk/issues/1330#issuecomment-256237324

            nltk.translate.corpus_bleu corresponds to mteval-13a.pl up to the 4th order of ngram with some floating point discrepancies

            The details of the comparison and the dataset used can be downloaded from https://github.com/nltk/nltk_data/blob/gh-pages/packages/models/wmt15_eval.zip or:

            Source https://stackoverflow.com/questions/46084574

            QUESTION

            How to identify regex bad characters in a long list of characters?
            Asked 2017-Aug-14 at 09:25

            The goal is to port this Perl regex (from here) into Python:

            ...

            ANSWER

            Answered 2017-Aug-14 at 09:25

            The main point here is that you need to escape the ^, -, ] and \ chars inside a character class.

            Use

            Source https://stackoverflow.com/questions/45670950

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install mteval

            MTEval depends on below libraries: * Boost 1.48 or later. And uses below toolkit to build libraries and executalbes: * CMake 3.1.0 or later.

            Support

            If you find an issue, please contact Y.Oda * @odashi_t on Twitter (faster than E-Mail) * yus.takara (at) gmail.com.
            Find more information at:

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            CLONE
          • HTTPS

            https://github.com/odashi/mteval.git

          • CLI

            gh repo clone odashi/mteval

          • sshUrl

            git@github.com:odashi/mteval.git

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