Title : Implications of linguistic feature based evaluation in improving machine translation quality a case of english to hindi machine translation

Type of Material: Thesis
Title: Implications of linguistic feature based evaluation in improving machine translation quality a case of english to hindi machine translation
Researcher: Joshi, Nisheeth
Guide: Darbari, Hemant
Department: Department of Computer Sciencenewline
Publisher: Banasthali University,Banasthali
Place: Banasthali
Year: 10/02/2013
Language: English
Subject: MT Metrology
Human Evaluation
Automatic Evaluation
Statistical Significance Testing
Metric Combination based MT Evaluation
Supervised Machine Learning
Language Model based MT Evaluation
Computer Science and Applications
Engineering and Technology
Dissertation/Thesis Note: PhD; Department of Computer Sciencenewline, Banasthali University,Banasthali, Banasthali; 10/02/2013
Fulltext: Shodhganga

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035__|a(IN-AhILN)th_463499
040__|dIN-AhILN|aBANV_304022
041__|aeng
100__|eResearcher|aJoshi, Nisheeth
110__|aDepartment of Computer Sciencenewline|0U-0389|dBanasthali|bBanasthali University,Banasthali|ein
245__|aImplications of linguistic feature based evaluation in improving machine translation quality a case of english to hindi machine translation
260__|aBanasthali|c10/02/2013|bBanasthali University,Banasthali
300__|axix, 211 p.|c--
500__|aAbstract p. v, References p. 199-205, Appendices p. 206-211
502__|bPhD|d10/02/2013|cDepartment of Computer Sciencenewline, Banasthali University,Banasthali, Banasthali
518__|oDate of Award|d2013-09-21
518__|d2007-12-12|oDate of Registration
518__|d2013-02-10|oDate of Completion
520__|aSince beginning, research in Machine Translation Evaluation has been a prominent area of study, with initial MT systems being evaluated by only human evaluators. This thesis is focused on studying various methods incorporated in MT Evaluation. A lot of evaluation campaigns have been undertaken for English as a target language, but evaluation of English-Hindi MT has not been taken up so well. Thus, we have focused our evaluations for this language pair. The basic motivation for undertaking this study was to help system managers of MT projects, as many times they have to wait for human evaluations to complete their assessments for an MT system. This process takes days to finish, which hinders the development process. Using the methods suggested in this thesis, a system manager can very easily analyze the performance of his system which can help him in keeping up with deadlines. We have developed a human evaluation metric which provides at par results with popular human adequacy and fluency metrics and further
650__|aComputer Science and Applications|2UGC
650__|aEngineering and Technology|2AIU
653__|aMT Metrology
653__|aHuman Evaluation
653__|aAutomatic Evaluation
653__|aStatistical Significance Testing
653__|aMetric Combination based MT Evaluation
653__|aSupervised Machine Learning
653__|aLanguage Model based MT Evaluation
700__|aDarbari, Hemant|eGuide
856__|yShodhganga|uhttp://shodhganga.inflibnet.ac.in/handle/10603/17502
905__|afromsg

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