DocumentCode :
3142098
Title :
Lexical cohesion for evaluation of machine translation at document level
Author :
Wong, Billy T M ; Pun, Cecilia F K ; Kit, Chunyu ; Webster, Jonathan J.
Author_Institution :
Dept. of Chinese, Translation & Linguistics, City Univ. of Hong Kong, Kowloon, China
fYear :
2011
fDate :
27-29 Nov. 2011
Firstpage :
238
Lastpage :
242
Abstract :
This paper studies how granularity of machine translation evaluation can be extended from sentence to document level. While most state-of-the-art evaluation metrics focus on the sentence level, we emphasize the importance of document structure, showing that lexical cohesion is a critical feature to highlight the superior quality of human translation to machine translation, which uses cohesive devices to tie salient words between sentences together as a text. An experiment shows that this feature can bring forth a 3-5% improvement in the correlation of automatic evaluation results with human judgments of machine translation outputs at the document level.
Keywords :
language translation; text analysis; document level machine translation; document structure; evaluation metrics; human translation; lexical cohesion; salient words; sentence level; text coherence; evaluation metric; lexical cohesion; machine translation evaluation; text coherence;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Natural Language Processing andKnowledge Engineering (NLP-KE), 2011 7th International Conference on
Conference_Location :
Tokushima
Print_ISBN :
978-1-61284-729-0
Type :
conf
DOI :
10.1109/NLPKE.2011.6138201
Filename :
6138201
Link To Document :
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