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» Statistical Machine Translation by Parsing
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ACL
2007
13 years 9 months ago
Randomised Language Modelling for Statistical Machine Translation
A Bloom filter (BF) is a randomised data structure for set membership queries. Its space requirements are significantly below lossless information-theoretic lower bounds but it ...
David Talbot, Miles Osborne
ACL
2009
13 years 5 months ago
Variational Decoding for Statistical Machine Translation
Statistical models in machine translation exhibit spurious ambiguity. That is, the probability of an output string is split among many distinct derivations (e.g., trees or segment...
Zhifei Li, Jason Eisner, Sanjeev Khudanpur
ACL
2009
13 years 5 months ago
Phrase-Based Statistical Machine Translation as a Traveling Salesman Problem
An efficient decoding algorithm is a crucial element of any statistical machine translation system. Some researchers have noted certain similarities between SMT decoding and the f...
Mikhail Zaslavskiy, Marc Dymetman, Nicola Cancedda
ACL
2012
11 years 10 months ago
A Comparative Study of Target Dependency Structures for Statistical Machine Translation
This paper presents a comparative study of target dependency structures yielded by several state-of-the-art linguistic parsers. Our approach is to measure the impact of these noni...
Xianchao Wu, Katsuhito Sudoh, Kevin Duh, Hajime Ts...
ACL
2008
13 years 9 months ago
Enriching Morphologically Poor Languages for Statistical Machine Translation
We address the problem of translating from morphologically poor to morphologically rich languages by adding per-word linguistic information to the source language. We use the synt...
Eleftherios Avramidis, Philipp Koehn