11 search results - page 2 / 3 » Decoding Complexity in Word-Replacement Translation Models |
EMNLP
2010
13 years 3 months ago
2010
Extant Statistical Machine Translation (SMT) systems are very complex softwares, which embed multiple layers of heuristics and embark very large numbers of numerical parameters. A...
EMNLP
2010
13 years 3 months ago
2010
Minimum Error Rate Training is the algorithm for log-linear model parameter training most used in state-of-the-art Statistical Machine Translation systems. In its original formula...
ACL
2011
12 years 9 months ago
2011
This paper extends the training and tuning regime for phrase-based statistical machine translation to obtain fluent translations into morphologically complex languages (we build ...
MT
2010
13 years 4 months ago
2010
Phrase-based decoding is conceptually simple and straightforward to implement, at the cost of drastically oversimplified reordering models. Syntactically aware models make it pos...
NAACL
2003
13 years 7 months ago
2003
Searching online information is increasingly a daily activity for many people. The multilinguality of online content is also increasing (e.g. the proportion of English web users, ...