{"id":149623,"date":"2001-01-01T00:00:00","date_gmt":"2001-01-01T00:00:00","guid":{"rendered":"https:\/\/newed.any0.dpdns.org\/en-us\/research\/msr-research-item\/learning-to-extract-katakana-english-word-pairs-from-non-aligned-web-queries-using-a-noisy-channel-model-of-back-transliteration\/"},"modified":"2018-10-16T21:23:16","modified_gmt":"2018-10-17T04:23:16","slug":"learning-to-extract-katakana-english-word-pairs-from-non-aligned-web-queries-using-a-noisy-channel-model-of-back-transliteration","status":"publish","type":"msr-research-item","link":"https:\/\/newed.any0.dpdns.org\/en-us\/research\/publication\/learning-to-extract-katakana-english-word-pairs-from-non-aligned-web-queries-using-a-noisy-channel-model-of-back-transliteration\/","title":{"rendered":"Learning to Extract Katakana-English Word Pairs from Non-Aligned Web Queries Using a Noisy-Channel Model of Back-Transliteration"},"content":{"rendered":"<p>This paper describes a method of extracting katakana words and phrases, along with their English counterparts from non-aligned monolingual web search engine query logs. The method employs a trainable edit distance function to find <katakana, English> pairs that have a high probability of being equivalent. These pairs can then be used to further bootstrap training of the edit distance function, resulting in improved back-transliteration from katakana to English. In addition, this is an effective method for mining large numbers of katakana strings to enhance a bilingual lexicon. The improved edit distance function and enhanced lexicon can be used for more accurate alignment of bitexts, and for application during runtime MT and multilingual IR.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>This paper describes a method of extracting katakana words and phrases, along with their English counterparts from non-aligned monolingual web search engine query logs. The method employs a trainable edit distance function to find pairs that have a high probability of being equivalent. 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