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CORR
2008
Springer
111views Education» more  CORR 2008»
13 years 6 months ago
3-Way Composition of Weighted Finite-State Transducers
Cyril Allauzen, Mehryar Mohri
ACL
1998
13 years 9 months ago
Automatic Acquisition of Hierarchical Transduction Models for Machine Translation
We describe a method for the fully automatic learning of hierarchical finite state translation models. The input to the method is transcribed speech utterances and their correspon...
Hiyan Alshawi, Srinivas Bangalore, Shona Douglas
EACL
2009
ACL Anthology
14 years 8 months ago
Semitic Morphological Analysis and Generation Using Finite State Transducers with Feature Structures
This paper presents an application of finite state transducers weighted with feature structure descriptions, following Amtrup (2003), to the morphology of the Semitic language Tig...
Michael Gasser
PODS
2010
ACM
170views Database» more  PODS 2010»
14 years 24 days ago
A learning algorithm for top-down XML transformations
A generalization from string to trees and from languages to translations is given of the classical result that any regular language can be learned from examples: it is shown that ...
Aurélien Lemay, Sebastian Maneth, Joachim N...
EMNLP
2004
13 years 9 months ago
Efficient Decoding for Statistical Machine Translation with a Fully Expanded WFST Model
This paper proposes a novel method to compile statistical models for machine translation to achieve efficient decoding. In our method, each statistical submodel is represented by ...
Hajime Tsukada, Masaaki Nagata