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» Forest-based Translation Rule Extraction
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EMNLP
2009
13 years 4 months ago
Bayesian Learning of Phrasal Tree-to-String Templates
We examine the problem of overcoming noisy word-level alignments when learning tree-to-string translation rules. Our approach introduces new rules, and reestimates rule probabilit...
Ding Liu, Daniel Gildea
EACL
2003
ACL Anthology
13 years 7 months ago
Automatic Construction of Machine Translation Knowledge Using Translation Literalness
When machine translation (MT) knowledge is automatically constructed from bilingual corpora, redundant rules are acquired due to translation variety. These rules increase ambiguit...
Kenji Imamura, Eiichiro Sumita, Yuji Matsumoto
LREC
2010
119views Education» more  LREC 2010»
13 years 7 months ago
Utilizing Semantic Equivalence Classes of Japanese Functional Expressions in Translation Rule Acquisition from Parallel Patent S
In the "Sandglass" MT architecture, we identify the class of monosemous Japanese functional expressions and utilize it in the task of translating Japanese functional exp...
Taiji Nagasaka, Ran Shimanouchi, Akiko Sakamoto, T...
VLDB
2002
ACM
91views Database» more  VLDB 2002»
13 years 5 months ago
DTD-Directed Publishing with Attribute Translation Grammars
We present a framework for publishing relational data in XML with respect to a fixed DTD. In data exchange on the Web, XML views of relational data are typically required to confo...
Michael Benedikt, Chee Yong Chan, Wenfei Fan, Raje...
EMNLP
2009
13 years 4 months ago
Weighted Alignment Matrices for Statistical Machine Translation
Current statistical machine translation systems usually extract rules from bilingual corpora annotated with 1-best alignments. They are prone to learn noisy rules due to alignment...
Yang Liu, Tian Xia, Xinyan Xiao, Qun Liu