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Absence of such resources, especially in Indian languages, makes this problem hard; for example, state-of-the-art techniques achieve a mean reciprocal rank of 0.66 for English-Italian, and a mere 0.187 for Telugu-Kannada. In this work, we address the problem of comparable corpora-based translation correspondence induction (CC-TCI) when the only resources available are small noisy comparable corpora extracted from Wikipedia. We observe that translations in the source and target languages have many topically related words in common in other \u201cauxiliary\u201d languages. To model this, we define the notion of a\n            <jats:italic>translingual theme<\/jats:italic>\n            , a set of topically related words from auxiliary language corpora, and present a probabilistic framework for CC-TCI. Extensive experiments on 35 comparable corpora showed dramatic improvements in performance. We extend these ideas to propose a method for measuring cross-lingual semantic relatedness (CLSR) between words. To stimulate further research in this area, we make publicly available two new high-quality human-annotated datasets for CLSR. Experiments on the CLSR datasets show more than 200% improvement in correlation on the CLSR task. We apply the method to the real-world problem of cross-lingual Wikipedia title suggestion and build the\n            <jats:italic>WikiTSu<\/jats:italic>\n            system. A user study on\n            <jats:italic>WikiTSu<\/jats:italic>\n            shows a 20% improvement in the quality of titles suggested.\n          <\/jats:p>","DOI":"10.1145\/3038295","type":"journal-article","created":{"date-parts":[[2017,3,20]],"date-time":"2017-03-20T12:29:43Z","timestamp":1490012983000},"page":"1-25","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":4,"title":["Corpus-Based Translation Induction in Indian Languages Using Auxiliary Language Corpora from Wikipedia"],"prefix":"10.1145","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2599-6161","authenticated-orcid":false,"given":"Goutham","family":"Tholpadi","sequence":"first","affiliation":[{"name":"Indian Institute of Science, Bangalore, India"}]},{"given":"Chiranjib","family":"Bhattacharyya","sequence":"additional","affiliation":[{"name":"Indian Institute of Science, Bangalore, India"}]},{"given":"Shirish","family":"Shevade","sequence":"additional","affiliation":[{"name":"Indian Institute of Science, Bangalore, India"}]}],"member":"320","published-online":{"date-parts":[[2017,3,17]]},"reference":[{"key":"e_1_2_1_1_1","unstructured":"Daniel Andrade Masaaki Tsuchida Takashi Onishi and Kai Ishikawa. 2013. 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