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LREC
2010
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13 years 7 months ago
Inferring Syntactic Rules for Word Alignment through Inductive Logic Programming
This paper presents and evaluates an original approach to automatically align bitexts at the word level. It relies on a syntactic dependency analysis of the source and target text...
Sylwia Ozdowska, Vincent Claveau
AMTA
2004
Springer
13 years 11 months ago
Multi-align: Combining Linguistic and Statistical Techniques to Improve Alignments for Adaptable MT
Abstract. An adaptable statistical or hybrid MT system relies heavily on the quality of word-level alignments of real-world data. Statistical alignment approaches provide a reasona...
Necip Fazil Ayan, Bonnie J. Dorr, Nizar Habash
ACL
2004
13 years 7 months ago
Relieving the data Acquisition Bottleneck in Word Sense Disambiguation
Supervised learning methods for WSD yield better performance than unsupervised methods. Yet the availability of clean training data for the former is still a severe challenge. In ...
Mona T. Diab
SEMWEB
2007
Springer
13 years 12 months ago
Potluck: Semi-Ontology Alignment for Casual Users
Potluck is a web user interface (Figure 1) that lets casual users— those without programming skills and data modeling expertise—merge and repurpose heterogeneous Semantic Web d...
David F. Huynh, Robert C. Miller, David R. Karger
ACL
2006
13 years 7 months ago
Improved Discriminative Bilingual Word Alignment
For many years, statistical machine translation relied on generative models to provide bilingual word alignments. In 2005, several independent efforts showed that discriminative m...
Robert C. Moore, Wen-tau Yih, Andreas Bode