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EACL
2003
ACL Anthology
15 years 8 months ago
Empirical Methods for Compound Splitting
Compounded words are a challenge for NLP applications such as machine translation (MT). We introduce methods to learn splitting rules from monolingual and parallel corpora. We eva...
Philipp Koehn, Kevin Knight
ACL
1998
15 years 8 months ago
Target Word Selection as Proximity in Semantic Space
Lexical selection is a significant problem for widecoverage machine translation: depending on the context, a given source language word can often be translated into different targ...
Scott McDonald
ACL
1997
15 years 8 months ago
Learning Parse and Translation Decisions from Examples with Rich Context
We present a knowledge and context-based system for parsing and translating natural language and evaluate it on sentences from the Wall Street Journal. Applying machine learning t...
Ulf Hermjakob, Raymond J. Mooney
RIAO
2000
15 years 8 months ago
The Effect of Pseudo Relevance Feedback on MT-Based CLIR
In this paper, we identify factors that affect machine translation (MT) of a source query for cross-language information retrieval (CLIR) and empirically evaluate the effect of ps...
Yan Qu, Alla N. Eilerman, Hongming Jin, David A. E...
IJCAI
1989
15 years 7 months ago
Concept Formation by Incremental Conceptual Clustering
Incremental conceptual clustering is an important area of machine learning. It is concerned with summarizing data in a form of concept hierarchies, which will eventually ease the ...
Mirsad Hadzikadic, David Y. Y. Yun