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COLING
1990
13 years 9 months ago
Morphological Analysis and Synthesis by Automated Discovery and Acquisition of Linguistic Rules
':[his paper describes a rule-based machine learning approach to morphological processing in the system called XMAS. XMAS discovers and acquires linguistic rules from example...
Byoung-Tak Zhang, Yung Taek Kim
EACL
1989
ACL Anthology
13 years 9 months ago
Translation By Structural Correspondences
We sketch and illustrate an approach to machine translation that exploits the potential of simultaneous correspondences between separate levels of linguistic representation, as fo...
Ronald M. Kaplan, Klaus Netter, Jürgen Wedeki...
IR
2011
13 years 3 months ago
Learning to rank for why-question answering
In this paper, we evaluate a number of machine learning techniques for the task of ranking answers to why-questions. We use TF-IDF together with a set of 36 linguistically motivate...
Suzan Verberne, Hans van Halteren, Daphne Theijsse...
ICML
2003
IEEE
14 years 9 months ago
On Kernel Methods for Relational Learning
Kernel methods have gained a great deal of popularity in the machine learning community as a method to learn indirectly in highdimensional feature spaces. Those interested in rela...
Chad M. Cumby, Dan Roth
DOCENG
2005
ACM
13 years 10 months ago
Integrating translation services within a structured editor
Fully automatic machine translation cannot produce high quality translation; Dialog-Based Machine Translation (DBMT) is the only way to provide authors with a means of translating...
Ali Choumane, Hervé Blanchon, Cécile...