Sciweavers

228 search results - page 10 / 46
» Explanation-based Learning for Machine Translation
Sort
View
ACL
1998
13 years 11 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
ACL
2012
12 years 1 days ago
Joint Feature Selection in Distributed Stochastic Learning for Large-Scale Discriminative Training in SMT
With a few exceptions, discriminative training in statistical machine translation (SMT) has been content with tuning weights for large feature sets on small development data. Evid...
Patrick Simianer, Stefan Riezler, Chris Dyer
TAL
2004
Springer
14 years 3 months ago
Automatic Acquisition of Transfer Rules from Translation Examples
In our research, we have developed a transfer-based machine translation architecture for the translation from Japanese into German. One main feature of the system is the fully auto...
Werner Winiwarter
ICALT
2008
IEEE
14 years 4 months ago
Dictionary-Based Translation Feature in Open Source LMS A Case Study of Thai LMS: LearnSquare
One of the problems on using English in Thai students is vocabulary limitation. This paper proposes a methodology to ease learning curve for English content by adding an English-T...
Orrawin Mekpiroon, Pornchai Tammarattananont, Nara...
COLING
2000
13 years 11 months ago
Application of Analogical Modelling to Example Based Machine Translation
This paper describes a self-modelling, incremental algorithm for learning translation rules from existing bilingual corpora. The notions of supracontext and subcontext are extende...
Christos Malavazosi, Stelios Piperidis