This research looks at the effects of word order and segmentation on translation retrieval performance for an experimental Japanese-English translation memory system. We implement...
Statistical machine translation systems are usually trained on large amounts of bilingual text (used to learn a translation model), and also large amounts of monolingual text in th...
Targeted paraphrasing is a new approach to the problem of obtaining cost-effective, reasonable quality translation that makes use of simple and inexpensive human computations by m...
Philip Resnik, Olivia Buzek, Chang Hu, Yakov Kronr...
We present the design and evaluation of a translator’s amenuensis that uses comparable corpora to propose and rank nonliteral solutions to the translation of expressions from th...
Bogdan Babych, Anthony Hartley, Serge Sharoff, Olg...
This paper describes a lexical trigger model for statistical machine translation. We present various methods using triplets incorporating long-distance dependencies that can go be...
Sasa Hasan, Juri Ganitkevitch, Hermann Ney, Jes&ua...