ACL
2012
11 years 7 months ago
2012
Parallel data in the domain of interest is the key resource when training a statistical machine translation (SMT) system for a specific purpose. Since ad-hoc manual translation c...
ACL
2012
11 years 7 months ago
2012
We describe Akamon, an open source toolkit for tree and forest-based statistical machine translation (Liu et al., 2006; Mi et al., 2008; Mi and Huang, 2008). Akamon implements all...
ACL
2012
11 years 7 months ago
2012
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...
ACL
2012
11 years 7 months ago
2012
In this work we present two extensions to the well-known dynamic programming beam search in phrase-based statistical machine translation (SMT), aiming at increased efficiency of ...
ACL
2012
11 years 7 months ago
2012
Some Statistical Machine Translation systems never see the light because the owner of the appropriate training data cannot release them, and the potential user of the system canno...
ACL
2012
11 years 7 months ago
2012
The dominant practice of statistical machine translation (SMT) uses the same Chinese word segmentation specification in both alignment and translation rule induction steps in buil...
ACL
2012
11 years 7 months ago
2012
Bayesian approaches have been shown to reduce the amount of overfitting that occurs when running the EM algorithm, by placing prior probabilities on the model parameters. We appl...
ACL
2012
11 years 7 months ago
2012
Statistical machine translation is often faced with the problem of combining training data from many diverse sources into a single translation model which then has to translate se...
ACL
2012
11 years 7 months ago
2012
We propose several techniques for improving statistical machine translation between closely-related languages with scarce resources. We use character-level translation trained on ...
ACL
2012
11 years 7 months ago
2012
Long distance word reordering is a major challenge in statistical machine translation research. Previous work has shown using source syntactic trees is an effective way to tackle ...