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In this article, the knowledge transfer mechanisms behind different multilingual topic models are systematically studied, and through a broad set of experiments with four models on ten languages, we provide empirical insights that can inform the selection and future development of multilingual topic models. <\/jats:p>","DOI":"10.1162\/coli_a_00369","type":"journal-article","created":{"date-parts":[[2020,1,2]],"date-time":"2020-01-02T18:51:49Z","timestamp":1577991109000},"page":"95-134","source":"Crossref","is-referenced-by-count":4,"title":["An Empirical Study on Crosslingual Transfer in Probabilistic Topic                     Models"],"prefix":"10.1162","volume":"46","author":[{"given":"Shudong","family":"Hao","sequence":"first","affiliation":[{"name":"Bard College at Simon\u2019s Rock, Division of Science,                         Mathematics, and Computing."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Michael J.","family":"Paul","sequence":"additional","affiliation":[{"name":"University of Colorado, Department of Information Science."}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"281","reference":[{"key":"bib1","doi-asserted-by":"publisher","DOI":"10.1145\/1553374.1553378"},{"key":"bib2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-1073"},{"key":"bib3","first-page":"179","volume":"24","author":"Besag Julian","year":"1975","journal-title":"Journal of the Royal Statistical Society. 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