@inproceedings{11e105969ae34b65952313fec1f992ac,
title = "Lexical cohesion for evaluation of machine translation at document level",
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 = "evaluation metric, lexical cohesion, machine translation evaluation, text coherence",
author = "Wong, {Billy T.M.} and Pun, {Cecilia F.K.} and Chunyu Kit and Webster, {Jonathan J.}",
year = "2011",
doi = "10.1109/NLPKE.2011.6138201",
language = "English",
isbn = "9781612847283",
series = "NLP-KE 2011 - Proceedings of the 7th International Conference on Natural Language Processing and Knowledge Engineering",
pages = "238--242",
booktitle = "NLP-KE 2011 - Proceedings of the 7th International Conference on Natural Language Processing and Knowledge Engineering",
note = "7th International Conference on Natural Language Processing and Knowledge Engineering, NLP-KE 2011 ; Conference date: 27-11-2011 Through 29-11-2011",
}