59 search results - page 7 / 12 » Diversify and Combine: Improving Word Alignment for Machine ... |
NAACL
2007
13 years 9 months ago
2007
We propose three new features for MT evaluation: source-sentence constrained n-gram precision, source-sentence reordering metrics, and discriminative unigram precision, as well as...
COLING
2000
13 years 9 months ago
2000
In the framework of statistical machine translation (SMT), correspondences between the words in the source and the target language are learned from bilingual corpora on the basis ...
ACL
2006
13 years 9 months ago
2006
In this paper, we argue that n-gram language models are not sufficient to address word reordering required for Machine Translation. We propose a new distortion model that can be u...
NAACL
2010
13 years 5 months ago
2010
Machine translation benefits from two types of decoding techniques: consensus decoding over multiple hypotheses under a single model and system combination over hypotheses from di...
ACL
2011
12 years 11 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 ...