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From Better Translation Units to Better Reordering: Soft Linguistic Constraints in Statistical Machine Translation| old_uid | 15825 |
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| title | From Better Translation Units to Better Reordering: Soft Linguistic Constraints in Statistical Machine Translation |
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| start_date | 2015/06/16 |
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| schedule | 11h30 |
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| online | no |
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| location_info | salle de conférences |
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| summary | This talk focuses on some ways to gainfully apply source-side syntactic
and semantic constraints in statistical machine translation. First, I
will show how soft syntactic constraints on phrase selection during
decoding can yield gains, going back to some of my own doctoral
dissertation work. Keeping soft semantic constraints on translation
units to a separate talk, I will next show how incorporating a different
kind of soft syntactic constraints into a hierarchical phrase-based
translation system improves reordering, and yields further significant
gains (ACL 2014). Last, I will present soft semantic reordering
constraints. Although useful, in our experiments their gain was limited
in the presence of soft syntactic reordering constraints. Therefore we
will examine in detail the behavior differences between the two
linguistic reordering constraints. |
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| responsibles | Grau |
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