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1. 1. Text Harmonization Strategies for Phrase-Based Statistical Machine Translation

   Författare :Sara Stymne; Lars Ahrenberg; Joakim Nivre; Nizar Habash; Linköpings universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; HUMANIORA; HUMANITIES; Statistical machine translation; text harmonization; compound words; definiteness; reordering; unknown words;

   Sammanfattning : In this thesis I aim to improve phrase-based statistical machine translation (PBSMT) in a number of ways by the use of text harmonization strategies. PBSMT systems are built by training statistical models on large corpora of human translations. This architecture generally performs well for languages with similar structure. LÄS MER