Sciweavers

498 search results - page 68 / 100
» Statistical Machine Translation by Parsing
Sort
View
127
Voted
ANLP
2000
111views more  ANLP 2000»
15 years 5 months ago
Bagging and Boosting a Treebank Parser
Bagging and boosting, two effective machine learning techniques, are applied to natural language parsing. Experiments using these techniques with a trainable statistical parser ar...
John C. Henderson, Eric Brill
110
Voted
LREC
2010
169views Education» more  LREC 2010»
15 years 5 months ago
Using Comparable Corpora to Adapt a Translation Model to Domains
Statistical machine translation (SMT) requires a large parallel corpus, which is available only for restricted language pairs and domains. To expand the language pairs and domains...
Hiroyuki Kaji, Takashi Tsunakawa, Daisuke Okada
130
Voted
EMNLP
2007
15 years 5 months ago
Smooth Bilingual N-Gram Translation
We address the problem of smoothing translation probabilities in a bilingual N-grambased statistical machine translation system. It is proposed to project the bilingual tuples ont...
Holger Schwenk, Marta R. Costa-Jussà, Jos&e...
EMNLP
2010
15 years 1 months ago
Minimum Error Rate Training by Sampling the Translation Lattice
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...
Samidh Chatterjee, Nicola Cancedda
127
Voted
ICMLC
2010
Springer
15 years 1 months ago
An improvement of translation quality with adding key-words in parallel corpus
: In this paper, we propose a new approach to improve the translation quality by adding the Key-Words of a sentence to the parallel corpus. The main idea of the approach is to find...
Liang Tian, Fai Wong, Sam Chao