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In limited data domains, many effective language modeling techniques construct models with parameters to be estimated on an in-domain development set. However, in some domains, no such data exist beyo...
This paper presents an approximation algorithm for wordreplacement under a bi-gram language model. Words replacement is an key step in the decoding part of statistical machine translation. However, th...
In this paper, an adaptati on method of the language style of a language model is proposed based on the differences between spoken and written language. Several interpolation methods based on trigram...
In this paper, we present an efficient look-ahead technique based on both the Language Model (LM) Look-Ahead and the Acoustic Model (AM) Look-Ahead, for the time-synchr onous beam search in the large ...
Though the statistical language modeling plays an important role in speech recogn ition, there are still many problems that are difficult to be solved such as the sparseness of training data. Generall...
In this paper, an online incremental language model adaptation method is proposed, which is different from the traditional offline language model adaptation method. There are some problems in the onli...

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