Multilingual subjectivity analysis using machine translation Export

@inproceedings{citeulike:6087340, abstract = {Although research in other languages is increasing, much of the work in subjectivity analysis has been applied to English data, mainly due to the large body of electronic resources and tools that are available for this language. In this paper, we propose and evaluate methods that can be employed to transfer a repository of subjectivity resources across languages. Specifically, we attempt to leverage on the resources available for English and, by employing machine translation, generate resources for subjectivity analysis in other languages. Through comparative evaluations on two different languages (Romanian and Spanish), we show that automatic translation is a viable alternative for the construction of resources and tools for subjectivity analysis in a new target language.}, address = {Morristown, NJ, USA}, author = {Banea, Carmen and Mihalcea, Rada and Wiebe, Janyce and Hassan, Samer}, booktitle = {EMNLP '08: Proceedings of the Conference on Empirical Methods in Natural Language Processing}, citeulike-article-id = {6087340}, citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=1613715.1613734}, keywords = {analysis, mt, multi-lingual, project-cls, sentiment, subjectivity}, location = {Honolulu, Hawaii}, pages = {127--135}, posted-at = {2009-11-09 09:16:41}, priority = {2}, publisher = {Association for Computational Linguistics}, title = {Multilingual subjectivity analysis using machine translation}, url = {http://portal.acm.org/citation.cfm?id=1613715.1613734}, year = {2008} }

TY - CONF ID - citeulike:6087340 L3 - citeulike-article-id:6087340 N2 - Although research in other languages is increasing, much of the work in subjectivity analysis has been applied to English data, mainly due to the large body of electronic resources and tools that are available for this language. In this paper, we propose and evaluate methods that can be employed to transfer a repository of subjectivity resources across languages. Specifically, we attempt to leverage on the resources available for English and, by employing machine translation, generate resources for subjectivity analysis in other languages. Through comparative evaluations on two different languages (Romanian and Spanish), we show that automatic translation is a viable alternative for the construction of resources and tools for subjectivity analysis in a new target language. CY - Honolulu, Hawaii AD - Morristown, NJ, USA EP - 135 TI - Multilingual subjectivity analysis using machine translation PB - Association for Computational Linguistics T2 - EMNLP '08: Proceedings of the Conference on Empirical Methods in Natural Language Processing SP - 127 KW - analysis KW - mt KW - multi-lingual KW - project-cls KW - sentiment KW - subjectivity AU - Banea, Carmen AU - Mihalcea, Rada AU - Wiebe, Janyce AU - Hassan, Samer PY - 2008/// UR - http://portal.acm.org/citation.cfm?id=1613715.1613734 ER -