The mathematics of statistical machine translation: parameter estimation
Computational Linguistics - Special issue on using large corpora: II
A program for aligning sentences in bilingual corpora
ACL '91 Proceedings of the 29th annual meeting on Association for Computational Linguistics
High-performance bilingual text alignment using statistical and dictionary information
ACL '96 Proceedings of the 34th annual meeting on Association for Computational Linguistics
K-vec: a new approach for aligning parallel texts
COLING '94 Proceedings of the 15th conference on Computational linguistics - Volume 2
Immediate-head parsing for language models
ACL '01 Proceedings of the 39th Annual Meeting on Association for Computational Linguistics
Improved statistical alignment models
ACL '00 Proceedings of the 38th Annual Meeting on Association for Computational Linguistics
Japanese dependency structure analysis based on support vector machines
EMNLP '00 Proceedings of the 2000 Joint SIGDAT conference on Empirical methods in natural language processing and very large corpora: held in conjunction with the 38th Annual Meeting of the Association for Computational Linguistics - Volume 13
The word is mightier than the count: accumulating translation resources from parsed parallel corpora
CICLing'03 Proceedings of the 4th international conference on Computational linguistics and intelligent text processing
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Corpus-based MT requires the input of large sentence aligned bilingual corpora, but these are hard to find for Japanese. Bilingual news corpora seem to offer a useful resource for Machine Translation, but their quality is variable. Sentence alignments produced by filtering literal word translations from the NHK corpus yield disappointing results, though correlating NP translations performs better. Using this method gets even better results from the Nikkei corpus. This paper reports sentence alignment results from 2 corpora, in a 2-pass dictionary based alignment system.