Language models (LMs) are often constructed by building multiple individual component
models that are combined using context independent interpolation weights. By tuning these …

This paper describes recent advances at LIMSI in Mandarin Chinese speech-to-text
transcription. A number of novel approaches were introduced in the different system …

State-of-the-art large vocabulary continuous speech recognition (LVCSR) systems often
combine outputs from multiple sub-systems that may even be developed at different sites …

Mandarin Chinese is based on characters which are syllabic in nature and morphological in
meaning. All spoken languages have syllabiotactic rules which govern the construction of …

We applied neural network language model (NNLM) on Chinese by training and testing it on
2011 GALE Mandarin evaluation task. Exploiting the fact that there are no word boundaries …

This paper presents a two-stage mixed language model technique for detecting and
recognizing words that are not included in the vocabulary of a large vocabulary continuous …

In speech recognition systems language model (LMs) are often constructed by training and
combining multiple n-gram models. They can be either used to represent different genres or …

This paper outlines a new linguistics‐based method of investigating the languages behind
the undeciphered members of the Bronze Age Aegean family of syllabic scripts. Using this …

We describe our efforts in deploying Google search by voice for Cantonese, a southern
Chinese dialect widely spoken in and around Hong Kong and Guangzhou. We collected …

In this work the random forest language modeling approach is applied with the aim of
improving the performance of the LIMSI, highly competitive, Mandarin Chinese speech-to …