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Factored language model

The factored language model (FLM) is an extension of a conventional language model introduced by Jeff Bilmes and Katrin Kirchoff in 2003. In an FLM… 
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Language modelN-gram

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2019
2019
Detecting Mismatch Between Speech and Transcription Using Cross-Modal Attention
In this paper, we propose to detect mismatches between speech and transcriptions using deep neural networks. Although it is… 
2014
2014
Combining recurrent neural networks and factored language models during decoding of code-Switching speech
In this paper, we present our latest investigations of language modeling for Code-Switching. Since there is only little text… 
2013
2013
A Romanian language modeling using linguistic factors
Language modeling plays an important role in continuous speech recognition and understanding providing an improvement of their… 
2011
2011
Factored MLLR Adaptation
One of the most popular approaches to parameter adaptation in hidden Markov model (HMM) based systems is the maximum likelihood… 
2011
2011
Highly-Inflected Language Generation Using Factored Language Models
Statistical language models based on n-gram counts have been shown to successfully replace grammar rules in standard 2-stage (or… 
2010
2010
Factored bilingual n-gram language models for statistical machine translation
In this work, we present an extension of n-gram-based translation models based on factored language models (FLMs). Translation… 
2009
2009
Morpheme-Based and Factored Language Modeling for Amharic Speech Recognition
This paper presents the application of morpheme-based and factored language models in an Amharic speech recognition task. Since… 
Review
2007
Review
2007
Factored Language Models Tutorial
The Factored Language Model (FLM) is a e xible framework for incorporating various information sources, such as morphology and… 
2006
2006
Sentence-Adapted Factored Language Model for Transcribing Estonian Speech
  • Tanel Alumäe
  • IEEE International Conference on Acoustics Speech…
  • 2006
  • Corpus ID: 15876956
This work presents a 2-pass recognition method for highly inflected agglutinative languages based on an Estonian large vocabulary… 
2005
2005
Jointly Labeling Multiple Sequences: A Factorial HMM Approach
We present new statistical models for jointly labeling multiple sequences and apply them to the combined task of part-of-speech… 
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