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linh's mt [12 articles]

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	Edinburgh System Description for the 2005 IWSLT Speech Translation Evaluation In Proceedings of International Workshop on Spoken Language Translation (2005) by Philipp Koehn, Amittai Axelrod, Alexandra B. Mayne, Chris Callison-Burch, Miles Osborne, David Talbot posted to mt by linh on 2008-04-30 08:04:33 Copy My Attachments My Copy
	BLEU: a Method for Automatic Evaluation of Machine Translation In Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics (ACL) (July 2002), pp. 311-318. by Kishore Papineni, Salim Roukos, Todd Ward, Wei-Jing Zhu posted to metric mt by linh on 2008-04-27 05:54:43 Copy My Attachments My Copy
	Bleu: a method for automatic evaluation of machine translation In 40th Annual meeting of the Association for Computational Linguistics (2002), pp. 311-318. by Kishore Papineni, Salim Roukos, Todd Ward, Wei-Jing Zhu posted to evaluation mt by linh on 2008-03-28 05:57:19 Copy My Attachments My Copy
	A Systematic Comparison of Various Statistical Alignment Models Computational Linguistics, Vol. 29 (2003), pp. 19-51. by Franz J. Och, Hermann Ney posted to mt wordalignment by linh on 2008-03-28 05:43:50 Copy My Attachments My Copy
	Combination of Arabic preprocessing schemes for statistical machine translation In Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the ACL (2006), pp. 1-8. by Fatiha Sadat, Nizar Habash posted to arabic morphology mt by linh on 2008-03-20 00:25:39 along with 1 person markusd Abstract Copy My Attachments My Copy Abstract Statistical machine translation is quite robust when it comes to the choice of input representation. It only requires consistency between training and testing. As a result, there is a wide range of possible preprocessing choices for data used in statistical machine translation. This is even more so for morphologically rich languages such as Arabic. In this paper, we study the effect of different word-level preprocessing schemes for Arabic on the quality of phrase-based statistical machine translation. We also present and evaluate ...
	Do We Need Chinese Word Segmentation for Statistical Machine Translation? In Proceedings of the Third SIGHAN Workshop on Chinese Language Learning (July 2004), pp. 122-128. by J. Xu, R. Zens, H. Ney posted to chinese mt segmentation by linh on 2008-02-11 00:20:23 Copy My Attachments My Copy
	Integrated Chinese Word Segmentation in Statistical Machine Translation In Proceedings of the International Workshop on Spoken Language Translation (IWSLT) (October 2005), pp. 141-147. by Xu posted to chinese mt segmentation by linh on 2008-01-22 22:12:35 Copy My Attachments My Copy
	Statistical Machine Translation with Scarce Resources Using Morpho-syntactic Information Computational Linguistics, Vol. 30, No. 2. (June 2004) by Sonja Nießen, Hermann Ney posted to germany morphology mt by linh on 2008-01-22 00:26:31 Copy My Attachments My Copy
	Morphological Analysis for Statistical Machine Translation In HLT-NAACL 2004: Short Papers (May 2004), pp. 57-60. by Young S. Lee edited by Daniel Marcu, Susan Dumais, Salim Roukos posted to arabic morphology mt by linh on 2008-01-21 23:49:36 Copy My Attachments My Copy
	Improving Statistical MT through Morphological Analysis In Proceedings of Human Language Technology Conference and Conference on Empirical Methods in Natural Language Processing (October 2005), pp. 676-683. by Sharon Goldwater, David Mcclosky posted to czech morphology mt by linh on 2008-01-21 23:46:52 Copy My Attachments My Copy
	Combination of Statistical Word Alignments Based on Multiple Preprocessing Schemes In Human Language Technologies 2007: The Conference of the North American Chapter of the Association for Computational Linguistics; Companion Volume, Short Papers (April 2007), pp. 25-28. by Jakob Elming, Nizar Habash posted to arabic mt wordalignment by linh on 2008-01-21 23:41:57 Copy My Attachments My Copy
	Semi-Automatic Error Analysis for Large-Scale Statistical Machine Translation Systems In Proceedings of the Machine Translation Summit (MT-Summit) (2007) by Katrin Kirchhoff, Owen Rambow, Nizar Habash, Mona Diab posted to mt by linh on 2008-01-21 23:31:42 Abstract Copy My Attachments My Copy Abstract This paper presents a general framework for semi-automatic error analysis in large-scale statistical machine translation (SMT) systems. The main objective is to relate characteristics of input documents (which can be either in text or audio form) to the system's overall translation performance and thus identify particularly problematic input characteristics (e.g. source, genre, dialect, etc.). Various measurements of these factors are extracted from the input, either automatically or by human annotation, and are related to translation performance scores by means of mutual ...

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