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» Improving Translation through Contextual Information
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NORDICHI
2006
ACM
13 years 11 months ago
Modified contextual design as a field evaluation method
Downstream utility is a critical success factor for usability evaluation methods, in terms of the extent to which they can deliver value. In this paper we argue that field methods...
Sharon McDonald, Kelly Monahan, Gilbert Cockton
EMNLP
2010
13 years 3 months ago
Maximum Entropy Based Phrase Reordering for Hierarchical Phrase-Based Translation
Hierarchical phrase-based (HPB) translation provides a powerful mechanism to capture both short and long distance phrase reorderings. However, the phrase reorderings lack of conte...
Zhongjun He, Yao Meng, Hao Yu
EMNLP
2008
13 years 6 months ago
Maximum Entropy based Rule Selection Model for Syntax-based Statistical Machine Translation
This paper proposes a novel maximum entropy based rule selection (MERS) model for syntax-based statistical machine translation (SMT). The MERS model combines local contextual info...
Qun Liu, Zhongjun He, Yang Liu, Shouxun Lin
IALP
2010
13 years 4 days ago
Sentence Similarity-Based Source Context Modelling in PBSMT
Target phrase selection, a crucial component of the state-of-the-art phrase-based statistical machine translation (PBSMT) model, plays a key role in generating accurate translation...
Rejwanul Haque, Sudip Kumar Naskar, Andy Way, Mart...
MT
2010
134views more  MT 2010»
13 years 3 months ago
Improve syntax-based translation using deep syntactic structures
This paper introduces deep syntactic structures to syntax-based Statistical Machine Translation (SMT). We use a Head-driven Phrase Structure Grammar (HPSG) parser to obtain the de...
Xianchao Wu, Takuya Matsuzaki, Jun-ichi Tsujii