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LREC
2010
169views Education» more  LREC 2010»
13 years 6 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
COLING
2008
13 years 6 months ago
Domain Adaptation for Statistical Machine Translation with Domain Dictionary and Monolingual Corpora
tra Statistical machine translation systems are usually trained on large amounts of bilingual text and monolingual text. In this paper, we propose a method to perform domain adapta...
Hua Wu, Haifeng Wang, Chengqing Zong
EMNLP
2008
13 years 6 months ago
Language and Translation Model Adaptation using Comparable Corpora
Traditionally, statistical machine translation systems have relied on parallel bi-lingual data to train a translation model. While bi-lingual parallel data are expensive to genera...
Matthew G. Snover, Bonnie J. Dorr, Richard M. Schw...
ACL
2011
12 years 8 months ago
Domain Adaptation for Machine Translation by Mining Unseen Words
We show that unseen words account for a large part of the translation error when moving to new domains. Using an extension of a recent approach to mining translations from compara...
Hal Daumé III, Jagadeesh Jagarlamudi
IR
2008
13 years 4 months ago
Focused web crawling in the acquisition of comparable corpora
CLIR resources, such as dictionaries and parallel corpora, are scarce for special domains. Obtaining comparable corpora automatically for such domains could be an answer to this p...
Tuomas Talvensaari, Ari Pirkola, Kalervo Järv...