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We show a number of improvements in the use of Hidden Conditional Random Fields (HCRFs) for phone classification on the TIMIT and Switchboard corpora. We first show that the use of regularization effe...
Regularization and Search for Minimum Error Rate Training     Regularization  Search  Minimum Error Rate       font style='font-size:12px;'> 2015/6/12
Minimum error rate training (MERT) is a widely used learning procedure for statistical machine translation models. We contrast three search strategies for MERT: Powell’s method, the variant of coordin...
We consider a multilingual weakly supervised learning scenario where knowledge from annotated corpora in a resource-rich language is transferred via bitext to guide the learning in other languages. Pa...
In-domain Relation Discovery with Meta-constraints via Posterior Regularization
Tag Dispatch Model with Social Network Regularization for Microblog User Tag Suggestion.

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