Smoothing

This paper describes an algorithm for performing rapid match on continuous speech that makes it possible to rec- ognize sentences from an 842 word vocabulary on a desk- top 33 …...

This paper describes the four entries from the Uni- versity of Utah in the semantic role labeling task of SENSEVAL-3. All the entries took a statisti- cal machine learning approach, …...

In this work we propose a transla- tion model for monolingual sentence retrieval. We propose four methods for constructing a parallel corpus. Of the four methods proposed, a lexi- con …...

In this paper, we present an unlexical- ized parser for German which employs smoothing and suffix analysis to achieve a labelled bracket F-score of 76.2, higher than previously reported results …...

We discuss different strategies for smooth- ing the phrasetable in Statistical MT, and give results over a range of translation set- tings. We show that any type of smooth- ing …...

We address the problem of smoothing trans- lation probabilities in a bilingual N-gram- based statistical machine translation system. It is proposed to project the bilingual tuples onto a continuous space …...

Unsupervised grammar induction models tend to employ relatively simple models of syntax when compared to their supervised counter- parts. Traditionally, the unsupervised mod- els have been kept simple due to …...

This paper describes how to cluster to- gether the phrases of a phrase-based sta- tistical machine translation (SMT) sys- tem, using information in the phrase table itself. The clustering is …...

Previous research on domain adaptation (DA) for statistical machine translation (SMT) has mainly focused on the translation model (TM) and the language model (LM). To the best of our knowledge, …...

AbstractThis paper presents two studies, first a statistical analysis for three languages i.e. Hindi, Punjabi and Nepali and the other, development of language models for three Indian languages i.e. Indian …...

This paper proposes an automatic method to build a Chinese spelling check system. Confusion sets were expanded by using two language resources, Shuowen Jiezi and the Four-Corner codes, which improved …...

This work systematically analyzes the smoothing effect of vocabulary reduction for phrase translation models. We ex- tensively compare various word-level vo- cabularies to show that the performance of smoothing is …...

Personalized language models are useful in many applications, such as personalized search and personalized recommendation. Nevertheless, it is challenging to build a personalized language model for cold start users, in …...