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» Predicting Success in Machine Translation
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CHI
2009
ACM
14 years 8 months ago
Difficulties in establishing common ground in multiparty groups using machine translation
When people communicate in their native languages using machine translation, they face various problems in constructing common ground. This study investigates the difficulties of ...
Naomi Yamashita, Rieko Inaba, Hideaki Kuzuoka, Tor...
NAACL
2010
13 years 5 months ago
Online Learning for Interactive Statistical Machine Translation
State-of-the-art Machine Translation (MT) systems are still far from being perfect. An alternative is the so-called Interactive Machine Translation (IMT) framework. In this framew...
Daniel Ortiz-Martínez, Ismael García...
EMNLP
2008
13 years 9 months ago
Improving Interactive Machine Translation via Mouse Actions
Although Machine Translation (MT) is a very active research field which is receiving an increasing amount of attention from the research community, the results that current MT sys...
Germán Sanchis-Trilles, Daniel Ortiz-Mart&i...
ACL
2010
13 years 5 months ago
Error Detection for Statistical Machine Translation Using Linguistic Features
Automatic error detection is desired in the post-processing to improve machine translation quality. The previous work is largely based on confidence estimation using system-based ...
Deyi Xiong, Min Zhang, Haizhou Li
ACL
2011
12 years 11 months ago
A Large Scale Distributed Syntactic, Semantic and Lexical Language Model for Machine Translation
This paper presents an attempt at building a large scale distributed composite language model that simultaneously accounts for local word lexical information, mid-range sentence s...
Ming Tan, Wenli Zhou, Lei Zheng, Shaojun Wang