SRILM is a collection of C++ libraries, executable programs, and helper scripts designed to allow both production of and experimentation with statistical language models for speech recognition and other applications. SRILM is freely available for noncommercial purposes. The toolkit supports creation and evaluation of a variety of language model types based on N-gram statistics, as well as several related tasks, such as statistical tagging and manipulation of N-best lists and word lattices. This paper summarizes the functionality of the toolkit and discusses its design and implementation, highlighting ease of rapid prototyping, reusability, and combinability of tools
N-gram language models are an essential component in statistical natural language processing systems...
This paper proposes a methodology to automatically generate sta-tistical language models (SLM)s for ...
Language modeling is an important part for both speech recognition and machine translation systems. ...
SRILM is a collection of C++ libraries, executable programs, and helper scripts designed to allow bo...
SRILM is a collection of C++ libraries, executable programs, and helper scripts designed to allow bo...
The CMU Statistical Language Modeling toolkit was released in 1994 in order to facilitate the constr...
Research in speech recognition and machine translation is boosting the use of large scale n-gram lan...
Statistical language models are widely used in automatic speech recognition in order to constrain th...
Abstract: In this paper we present a synthesis of the theoretical fundamentals and some practical as...
This work deals with the application that uses the machine-learning methods for the automatic langua...
Recent years have seen rapid growth in the deployment of statistical methods for computational langu...
Statistical language modelling may not only be used to uncover the patterns which underlie the compo...
Abstract. The aim of this overview4 is to describe major approaches and trends used for statistical ...
Statistical language models (SLMs) for speech recognition have the advantage of robustness, and gram...
Language modeling is critical and indispensable for many natural language ap-plications such as auto...
N-gram language models are an essential component in statistical natural language processing systems...
This paper proposes a methodology to automatically generate sta-tistical language models (SLM)s for ...
Language modeling is an important part for both speech recognition and machine translation systems. ...
SRILM is a collection of C++ libraries, executable programs, and helper scripts designed to allow bo...
SRILM is a collection of C++ libraries, executable programs, and helper scripts designed to allow bo...
The CMU Statistical Language Modeling toolkit was released in 1994 in order to facilitate the constr...
Research in speech recognition and machine translation is boosting the use of large scale n-gram lan...
Statistical language models are widely used in automatic speech recognition in order to constrain th...
Abstract: In this paper we present a synthesis of the theoretical fundamentals and some practical as...
This work deals with the application that uses the machine-learning methods for the automatic langua...
Recent years have seen rapid growth in the deployment of statistical methods for computational langu...
Statistical language modelling may not only be used to uncover the patterns which underlie the compo...
Abstract. The aim of this overview4 is to describe major approaches and trends used for statistical ...
Statistical language models (SLMs) for speech recognition have the advantage of robustness, and gram...
Language modeling is critical and indispensable for many natural language ap-plications such as auto...
N-gram language models are an essential component in statistical natural language processing systems...
This paper proposes a methodology to automatically generate sta-tistical language models (SLM)s for ...
Language modeling is an important part for both speech recognition and machine translation systems. ...