We present a new method for aligning sentences with their translations in a parallel bilingual corpus. Previous approaches have generally been based either on sentence length or word correspondences. Sentence-length-based methods are relatively fast and fairly accurate. Word-correspondence-based methods are generally more accurate but much slower, and usually depend on cognates or a bilingual lexicon. Our method adapts and combines these approaches, achieving high accuracy at a modest computational cost, and requiring no knowledge of the languages or the corpus beyond division into words and sentences.
Robert C. Moore. 2002. Fast and accurate sentence alignment of bilingual corpora. In Proceedings of the 5th Conference of the Association for Machine Translation in the Americas: Technical Papers, pages 135–144, Tiburon, USA. Springer.
@inproceedings{moore-2002-fast,
title = "Fast and accurate sentence alignment of bilingual corpora",
author = "Moore, Robert C.",
editor = "Richardson, Stephen D.",
booktitle = "Proceedings of the 5th Conference of the Association for Machine Translation in the Americas: Technical Papers",
month = oct # " 8-12",
year = "2002",
address = "Tiburon, USA",
publisher = "Springer",
url = "https://aclanthology.org/2002.amta-papers.14/",
pages = "135--144",
abstract = "We present a new method for aligning sentences with their translations in a parallel bilingual corpus. Previous approaches have generally been based either on sentence length or word correspondences. Sentence-length-based methods are relatively fast and fairly accurate. Word-correspondence-based methods are generally more accurate but much slower, and usually depend on cognates or a bilingual lexicon. Our method adapts and combines these approaches, achieving high accuracy at a modest computational cost, and requiring no knowledge of the languages or the corpus beyond division into words and sentences."
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%X We present a new method for aligning sentences with their translations in a parallel bilingual corpus. Previous approaches have generally been based either on sentence length or word correspondences. Sentence-length-based methods are relatively fast and fairly accurate. Word-correspondence-based methods are generally more accurate but much slower, and usually depend on cognates or a bilingual lexicon. Our method adapts and combines these approaches, achieving high accuracy at a modest computational cost, and requiring no knowledge of the languages or the corpus beyond division into words and sentences.
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Robert C. Moore. 2002. Fast and accurate sentence alignment of bilingual corpora. In Proceedings of the 5th Conference of the Association for Machine Translation in the Americas: Technical Papers, pages 135–144, Tiburon, USA. Springer.