Sciweavers

498 search results - page 68 / 100
» Statistical Machine Translation by Parsing
Sort
View
ANLP
2000
111views more  ANLP 2000»
13 years 9 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
LREC
2010
169views Education» more  LREC 2010»
13 years 9 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
EMNLP
2007
13 years 9 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
13 years 5 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
ICMLC
2010
Springer
13 years 5 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