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» Improving IBM Word Alignment Model 1
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164
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MT
2010
134views more  MT 2010»
15 years 2 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
135
Voted
SEMWEB
2007
Springer
15 years 9 months ago
ASMOV Results for OAEI 2007
Numerous ontology alignment algorithms have appeared in the literature in recent years, but only a few make use of the semantics enclosed within the ontologies in order to improve ...
Yves R. Jean-Mary, Mansur R. Kabuka
CIKM
2006
Springer
15 years 7 months ago
Text classification improved through multigram models
Classification algorithms and document representation approaches are two key elements for a successful document classification system. In the past, much work has been conducted to...
Dou Shen, Jian-Tao Sun, Qiang Yang, Zheng Chen
DCC
2011
IEEE
14 years 10 months ago
Improving PPM Algorithm Using Dictionaries
—We propose a method to improve traditional character-based PPM text compression algorithms. Consider a text file as a sequence of alternating words and non-words, the basic ide...
Yichuan Hu, Jianzhong (Charlie) Zhang, Farooq Khan...
170
Voted
ACL
2008
15 years 5 months ago
Semi-Supervised Sequential Labeling and Segmentation Using Giga-Word Scale Unlabeled Data
This paper provides evidence that the use of more unlabeled data in semi-supervised learning can improve the performance of Natural Language Processing (NLP) tasks, such as part-o...
Jun Suzuki, Hideki Isozaki