Language Model Adaptation

This article investigates the use of several lightly supervised and data-driven approaches to Mandarin broadcast news transcription. With the special structural properties of the Chinese language taken into consideration, a …...

The problem of language model adaptation in statistical machine translation is consid- ered. A mixture of language models is employed, which is obtained by clustering the bilingual training data. Unsupervised …...

AbstractThis paper investigates the effectiveness of online temporal language model adaptation when applied to a Thai broadcast news transcription task. Our adaptation scheme works as follow: first an initial language …...

Microblogging services such as Twitter have become popular media for real-time user- created news reporting. Such communica- tion often happens in parallel in different lan- guages, e.g., microblog posts related …...

Widely used in speech and language pro- cessing, Kneser-Ney (KN) smoothing has consistently been shown to be one of the best-performing smoothing methods. However, KN smoothing assumes integer counts, limiting …...

AbstractWe present an approach for learning to translate by exploiting cross-lingual link structure in multilingual document collections. We propose a new learning objective based on structured ramp loss, which learns …...