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» Learning Rules to Improve a Machine Translation System
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ACL
2010
13 years 5 months ago
Bucking the Trend: Large-Scale Cost-Focused Active Learning for Statistical Machine Translation
We explore how to improve machine translation systems by adding more translation data in situations where we already have substantial resources. The main challenge is how to buck ...
Michael Bloodgood, Chris Callison-Burch
ACL
2009
13 years 5 months ago
Handling phrase reorderings for machine translation
We propose a distance phrase reordering model (DPR) for statistical machine translation (SMT), where the aim is to capture phrase reorderings using a structure learning framework....
Yizhao Ni, Craig Saunders, Sándor Szedm&aac...
EMNLP
2010
13 years 5 months ago
Statistical Machine Translation with a Factorized Grammar
In modern machine translation practice, a statistical phrasal or hierarchical translation system usually relies on a huge set of translation rules extracted from bi-lingual traini...
Libin Shen, Bing Zhang, Spyros Matsoukas, Jinxi Xu...
EACL
2009
ACL Anthology
14 years 8 months ago
Improvements in Analogical Learning: Application to Translating Multi-Terms of the Medical Domain
Handling terminology is an important matter in a translation workflow. However, current Machine Translation (MT) systems do not yet propose anything proactive upon tools which ass...
François Yvon, Philippe Langlais, Pierre Zw...
CICLING
2008
Springer
13 years 9 months ago
Dynamic Translation Memory: Using Statistical Machine Translation to Improve Translation Memory Fuzzy Matches
Abstract. Professional translators of technical documents often use Translation Memory (TM) systems in order to capitalize on the repetitions frequently observed in these documents...
Ergun Biçici, Marc Dymetman