NDLI: Automatic evaluation of translation quality using expanded N-gram co-occurrence

Content Provider	IEEE Xplore Digital Library
Author	Ying Qin Qiufang Wen Jinquan Wang
Copyright Year	2009
Description	Author affiliation: School of Foreign Languages, Yangzhou University, Yangzhou (Jinquan Wang) \|\| National Research Centre for Foreign Language Education, Beijing Foreign Studies University, Beijing (Ying Qin; Qiufang Wen)
Abstract	BLEU and NIST as official machine translation evaluation metrics are widely used to assess system translation quality. These n-gram co-occurrence algorithms are applied to evaluate language learners' translations in this paper. Subtle differences of evaluation on machine translation and learners' translation are discussed. Dependent on n-gram matching between target translation and references, BLEU and NIST evaluate translation quality completely disregarding the source language. Based on sense overlapping in original language, we make pseudo translations for BLEU and NIST by substituting words or phrases in target translation for synonymous words and phrases in references. Pseudo translations expand n-gram co-occurrence between target translation and references. Evaluation experiments on learners' translation and machine translation corpus with expanded n-gram co-occurrence outperform pure BLEU and NIST evaluation in higher correlation with human assessments.
Starting Page	1
Ending Page	5
File Size	219156
Page Count	5
File Format	PDF
ISBN	9781424445387
DOI	10.1109/NLPKE.2009.5313751
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-09-24
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Performance evaluation Dictionaries System performance Automatic testing Feedback Humans Stochastic processes n-gram co-occurrence NIST Machine translation evaluation learners' translation evaluation
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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