126 search results - page 7 / 26 » Learning Finite-State Models for Machine Translation |
ACL
2009
14 years 7 months ago
2009
We propose a distance phrase reordering model (DPR) for statistical machine translation (SMT), where the aim is to capture phrase reorderings using a structure learning framework....
COLING
2000
14 years 11 months ago
2000
This paper describes a self-modelling, incremental algorithm for learning translation rules from existing bilingual corpora. The notions of supracontext and subcontext are extende...
121
click to vote
MT
2007
14 years 9 months ago
2007
Statistical machine translation systems are usually trained on large amounts of bilingual text (used to learn a translation model), and also large amounts of monolingual text in th...
167
click to vote
EH
1999
IEEE
1999
IEEE
Evolvable Hardware or Learning Hardware? Induction of State Machines from Temporal Logic Constraints
15 years 1 months ago
Here we advocate an approach to learning hardware based on induction of finite state machines from temporal logic constraints. The method involves training on examples, constraint...
ACL
2008
14 years 11 months ago
2008
In this paper, we propose a linguistically annotated reordering model for BTG-based statistical machine translation. The model incorporates linguistic knowledge to predict orders ...