{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,4,1]],"date-time":"2022-04-01T03:53:08Z","timestamp":1648785188244},"reference-count":0,"publisher":"IOS Press","license":[{"start":{"date-parts":[[2020,9,15]],"date-time":"2020-09-15T00:00:00Z","timestamp":1600128000000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,9,15]]},"abstract":"<jats:p>Pipeline-based speech translation methods may suffer from errors found in speech recognition system output. Therefore, it is crucial that machine translation systems are trained to be robust against such noise. In this paper, we propose two methods for parallel data augmentation for pipeline-based speech translation system development. The first method utilises a speech processing workflow to introduce errors and the second method generates commonly found suffix errors using a rule-based method. We show that the methods in combination allow significantly improving speech translation quality by 1.87 BLEU points over a baseline system.<\/jats:p>","DOI":"10.3233\/faia200605","type":"book-chapter","created":{"date-parts":[[2020,9,22]],"date-time":"2020-09-22T11:54:33Z","timestamp":1600775673000},"source":"Crossref","is-referenced-by-count":0,"title":["Data Augmentation for Pipeline-Based Speech Translation"],"prefix":"10.3233","author":[{"given":"Diego","family":"Alves","sequence":"first","affiliation":[{"name":"Faculty of Humanities and Social Sciences, University of Zagreb, Ul. Ivana Lu\u010di\u0107a 3, 10000, Zagreb, Croatia"}]},{"given":"Askars","family":"Salimbajevs","sequence":"additional","affiliation":[{"name":"Tilde, Vien\u012bbas gatve 75A, Riga, Latvia, LV-1004"},{"name":"University of Latvia, Rai\u0146a bulv. 19-125, Riga, Latvia, LV-1586"}]},{"given":"M\u0101rcis","family":"Pinnis","sequence":"additional","affiliation":[{"name":"Tilde, Vien\u012bbas gatve 75A, Riga, Latvia, LV-1004"},{"name":"University of Latvia, Rai\u0146a bulv. 19-125, Riga, Latvia, LV-1586"}]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","Human Language Technologies \u2013 The Baltic Perspective"],"original-title":[],"link":[{"URL":"http:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/FAIA200605","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,9,22]],"date-time":"2020-09-22T11:54:33Z","timestamp":1600775673000},"score":1,"resource":{"primary":{"URL":"http:\/\/ebooks.iospress.nl\/doi\/10.3233\/FAIA200605"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,9,15]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/faia200605","relation":{},"ISSN":["0922-6389","1879-8314"],"issn-type":[{"value":"0922-6389","type":"print"},{"value":"1879-8314","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,9,15]]}}}