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» Improving Language Models by Clustering Training Sentences
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IUI
2009
ACM
14 years 18 days ago
Collaborative translation by monolinguals with machine translators
In this paper, we present the concept for collaborative translation, where two non-bilingual people who use different languages collaborate to perform the task of translation usin...
Daisuke Morita, Toru Ishida
EMNLP
2010
13 years 6 months ago
Minimum Error Rate Training by Sampling the Translation Lattice
Minimum Error Rate Training is the algorithm for log-linear model parameter training most used in state-of-the-art Statistical Machine Translation systems. In its original formula...
Samidh Chatterjee, Nicola Cancedda
MT
2002
297views more  MT 2002»
13 years 7 months ago
MARS: A Statistical Semantic Parsing and Generation-Based Multilingual Automatic tRanslation System
We present MARS (Multilingual Automatic tRanslation System), a research prototype speech-to-speech translation system. MARS is aimed at two-way conversational spoken language trans...
Yuqing Gao, Bowen Zhou, Zijian Diao, Jeffrey S. So...
SIGIR
2006
ACM
14 years 1 months ago
Respect my authority!: HITS without hyperlinks, utilizing cluster-based language models
We present an approach to improving the precision of an initial document ranking wherein we utilize cluster information within a graph-based framework. The main idea is to perform...
Oren Kurland, Lillian Lee
NAACL
2007
13 years 9 months ago
Language Modeling for Determiner Selection
We present a method for automatic determiner selection, based on an existing language model. We train on the Penn Treebank and also use additional data from the North American New...
Jenine Turner, Eugene Charniak