Translation as Linear Transduction : Models and Algorithms for Efficient Learning in Statistical Machine Translation

Translation as Linear Transduction : Models and Algorithms for Efficient Learning in Statistical Machine Translation

Automatic translation has seen tremendous progress in recent years, mainly thanks to statistical methods applied to large parallel corpora. Transductions represent a principled approach to modeling translation, but existing transduction classes are either not expressive enough to capture structural...

Full description

Bibliographic Details
Main Author: Saers, Markus
Format: Doctoral Thesis
Language:English
Published: Uppsala universitet, Institutionen för lingvistik och filologi 2011
Subjects:
linear transduction
linear transduction grammar
inversion transduction
zipper finite-state automaton
zipper finite-state transducer
formal language theory
formal transduction theory
translation
automatic translation
machine translation
statistical machine translation
Computational linguistics
Datorlingvistik
Language technology
Språkteknologi
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-135704
http://nbn-resolving.de/urn:isbn:978-91-554-7976-3

Internet

http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-135704
http://nbn-resolving.de/urn:isbn:978-91-554-7976-3

Similar Items