Paraphrasing with bilingual parallel corpora Export

@inproceedings{citeulike:3959519, abstract = {Previous work has used monolingual parallel corpora to extract and generate paraphrases. We show that this task can be done using bilingual parallel corpora, a much more commonly available resource. Using alignment techniques from phrase-based statistical machine translation, we show how paraphrases in one language can be identified using a phrase in another language as a pivot. We define a paraphrase probability that allows paraphrases extracted from a bilingual parallel corpus to be ranked using translation probabilities, and show how it can be refined to take contextual information into account. We evaluate our paraphrase extraction and ranking methods using a set of manual word alignments, and contrast the quality with paraphrases extracted from automatic alignments.}, address = {Morristown, NJ, USA}, author = {Bannard, Colin and Burch, Chris C.}, booktitle = {ACL '05: Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics}, citeulike-article-id = {3959519}, citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=1219914}, citeulike-linkout-1 = {http://dx.doi.org/10.3115/1219840.1219914}, doi = {10.3115/1219840.1219914}, keywords = {bilingual, corpora, extraction, parallel, paraphrase}, location = {Ann Arbor, Michigan}, pages = {597--604}, posted-at = {2009-01-27 14:42:29}, priority = {2}, publisher = {Association for Computational Linguistics}, title = {Paraphrasing with bilingual parallel corpora}, url = {http://dx.doi.org/10.3115/1219840.1219914}, year = {2005} }

TY - CONF ID - citeulike:3959519 L3 - citeulike-article-id:3959519 N2 - Previous work has used monolingual parallel corpora to extract and generate paraphrases. We show that this task can be done using bilingual parallel corpora, a much more commonly available resource. Using alignment techniques from phrase-based statistical machine translation, we show how paraphrases in one language can be identified using a phrase in another language as a pivot. We define a paraphrase probability that allows paraphrases extracted from a bilingual parallel corpus to be ranked using translation probabilities, and show how it can be refined to take contextual information into account. We evaluate our paraphrase extraction and ranking methods using a set of manual word alignments, and contrast the quality with paraphrases extracted from automatic alignments. CY - Ann Arbor, Michigan AD - Morristown, NJ, USA EP - 604 TI - Paraphrasing with bilingual parallel corpora PB - Association for Computational Linguistics T2 - ACL '05: Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics SP - 597 KW - bilingual KW - corpora KW - extraction KW - parallel KW - paraphrase AU - Bannard, Colin AU - Burch, Chris PY - 2005/// UR - http://dx.doi.org/10.3115/1219840.1219914 ER -