Proceedings of the Sixth International Workshop on Treebanks and Linguistic Theories. Editors: Koenraad De Smedt, Jan Hajič and Sandra Kübler. NEALT Proceedings Series, Vol. 1 (2007), 175-187. © 2007 The editors and contributors. Published by Northern European Association for Language Technology (NEALT) http://omilia.uio.no/nealt . Electronically published at Tartu University Library (Estonia) http://hdl.handle.net/10062/4476
Proceedings of the Workshop on Annotation and Exploitation of Parallel Corpora AEPC 2010. Editors:...
Training a state-of-the-art syntax-based statistical machine translation (MT) system to translate fr...
State-of-the-art statistical machine translation systems make use of a large translation table obta...
We use existing tools to automatically build two parallel treebanks from existing parallel corpora. ...
Given much recent discussion and the shift in focus of the field, it is becoming apparent that the i...
Given much recent discussion and the shift in focus of the field, it is becoming apparent that the i...
The need for syntactically annotated data for use in natural language processing has increased drama...
The need for syntactically annotated data for use in natural language processing has increased drama...
The benefits of syntax-based approaches to data-driven machine translation (MT) are clear: given the...
Parallel treebanks, which comprise paired source-target parse trees aligned at sub-sentential level,...
Proceedings of the Sixth International Workshop on Treebanks and Linguistic Theories. Editors: Ko...
This paper presents a new method to evaluate machine translation (MT) systems against a parallel tre...
Phrase-based statistical machine translation (PBSMT) systems represent the dominant approach in MT t...
The goal of a machine translation (MT) system is to automatically translate a document written in so...
Proceedings of the Workshop on Annotation and Exploitation of Parallel Corpora AEPC 2010. Editors:...
Training a state-of-the-art syntax-based statistical machine translation (MT) system to translate fr...
State-of-the-art statistical machine translation systems make use of a large translation table obta...
We use existing tools to automatically build two parallel treebanks from existing parallel corpora. ...
Given much recent discussion and the shift in focus of the field, it is becoming apparent that the i...
Given much recent discussion and the shift in focus of the field, it is becoming apparent that the i...
The need for syntactically annotated data for use in natural language processing has increased drama...
The need for syntactically annotated data for use in natural language processing has increased drama...
The benefits of syntax-based approaches to data-driven machine translation (MT) are clear: given the...
Parallel treebanks, which comprise paired source-target parse trees aligned at sub-sentential level,...
Proceedings of the Sixth International Workshop on Treebanks and Linguistic Theories. Editors: Ko...
This paper presents a new method to evaluate machine translation (MT) systems against a parallel tre...
Phrase-based statistical machine translation (PBSMT) systems represent the dominant approach in MT t...
The goal of a machine translation (MT) system is to automatically translate a document written in so...
Proceedings of the Workshop on Annotation and Exploitation of Parallel Corpora AEPC 2010. Editors:...
Training a state-of-the-art syntax-based statistical machine translation (MT) system to translate fr...
State-of-the-art statistical machine translation systems make use of a large translation table obta...