Inducing Synchronous Grammars for Machine Translation
- đ¤ Speaker: Phil Blunsom, University of Oxford
- đ Date & Time: Friday 27 November 2009, 12:00 - 13:00
- đ Venue: SW01, Computer Laboratory
Abstract
In this talk I’ll outline my work modelling statistical machine translation (SMT) as a probabilistic machine learning problem. Although SMT systems have made large gains in translation quality in recent years, most are currently induced using a hand engineered pipeline of disparate models linked by heuristics. Although such techniques are effective for translating between related languages (e.g. English and French), they fail to capture the latent structure necessary to translate between languages which diverge significantly in syntactic structure, such as Chinese and English. I’ll present non-parametric Bayesian models for inducing synchronous context free grammars. These models are capable of learning the latent structure of translation equivalence from a corpus of parallel string pairs. I’ll discuss the difficult inference problems posed by such models and describe Monte Carlo sampling techniques that can help solve them. Finally I’ll present experiments demonstrating competitive results on full scale translation evaluations.
Series This talk is part of the NLIP Seminar Series series.
Included in Lists
- All Talks (aka the CURE list)
- bld31
- Cambridge Centre for Data-Driven Discovery (C2D3)
- Cambridge Forum of Science and Humanities
- Cambridge Language Sciences
- Cambridge talks
- Chris Davis' list
- Computer Education Research
- Computing Education Research
- Department of Computer Science and Technology talks and seminars
- Graduate-Seminars
- Guy Emerson's list
- Interested Talks
- Language Sciences for Graduate Students
- ndk22's list
- NLIP Seminar Series
- ob366-ai4er
- PMRFPS's
- rp587
- School of Technology
- Simon Baker's List
- SW01, Computer Laboratory
- Trust & Technology Initiative - interesting events
- yk449
Note: Ex-directory lists are not shown.
![[Talks.cam]](/static/images/talkslogosmall.gif)

Phil Blunsom, University of Oxford
Friday 27 November 2009, 12:00-13:00