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Specifically, this paper focuses on one of the most popular SMT approaches, that is, the phrase-based system.<\/jats:p>\n                  <jats:p>The phrase-based translation units are typically extracted using statistical criteria, and they are weighted using different models. These models are log-linearly combined in the decoding, which is in charge of choosing the most probable translation. Significant quality improvements have been produced from original phrase-based SMT systems. Among others, the main challenges are reordering, domain adaptation and evaluation.<\/jats:p>","DOI":"10.1017\/s026988891200029x","type":"journal-article","created":{"date-parts":[[2012,11,12]],"date-time":"2012-11-12T06:28:35Z","timestamp":1352701715000},"page":"413-431","source":"Crossref","is-referenced-by-count":4,"title":["An overview of the phrase-based statistical machine translation techniques"],"prefix":"10.48130","volume":"27","author":[{"given":"Marta Ruiz","family":"Costa-juss\u00e0","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"27968","published-online":{"date-parts":[[2012,11,12]]},"reference":[{"key":"S026988891200029X_ref106","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-45751-8_2"},{"key":"S026988891200029X_ref105","unstructured":"Yamada K. , Knight K. 2002. A decoder for syntax-based statistical MT. 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