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EMNLP
2009
15 years 1 months ago
Unsupervised Tokenization for Machine Translation
Training a statistical machine translation starts with tokenizing a parallel corpus. Some languages such as Chinese do not incorporate spacing in their writing system, which creat...
Tagyoung Chung, Daniel Gildea
ACL
2008
15 years 5 months ago
A Discriminative Latent Variable Model for Statistical Machine Translation
Large-scale discriminative machine translation promises to further the state-of-the-art, but has failed to deliver convincing gains over current heuristic frequency count systems....
Phil Blunsom, Trevor Cohn, Miles Osborne
157
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ACL
2012
13 years 6 months ago
Prediction of Learning Curves in Machine Translation
Parallel data in the domain of interest is the key resource when training a statistical machine translation (SMT) system for a specific purpose. Since ad-hoc manual translation c...
Prasanth Kolachina, Nicola Cancedda, Marc Dymetman...
ACL
2010
15 years 2 months ago
Automatic Evaluation Method for Machine Translation Using Noun-Phrase Chunking
As described in this paper, we propose a new automatic evaluation method for machine translation using noun-phrase chunking. Our method correctly determines the matching words bet...
Hiroshi Echizen-ya, Kenji Araki
NAACL
2007
15 years 5 months ago
Joint Morphological-Lexical Language Modeling for Machine Translation
We present a joint morphological-lexical language model (JMLLM) for use in statistical machine translation (SMT) of language pairs where one or both of the languages are morpholog...
Ruhi Sarikaya, Yonggang Deng