The CMU Statistical Language Modeling toolkit was released in 1994 in order to facilitate the construction and testing of bigram and trigram language models. It is currently in use in over 40 academic, government and industrial laboratories in over 12 countries. This paper presents a new version of the toolkit. We outline the conventional language modeling technology, as implemented in the toolkit, and describe the extra efficiency and functionality that the new toolkit provides as compared to previous software for this task. Finally, we give an example of the use of the toolkit in constructing and testing a simple language model
Language modeling is an important part for both speech recognition and machine translation systems. ...
We introduce in this paper a hierarchical hybrid statistical language model, represented as a collec...
Recent years have seen rapid growth in the deployment of statistical methods for computational langu...
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...
SRILM is a collection of C++ libraries, executable programs, and helper scripts designed to allow bo...
Statistical language modelling may not only be used to uncover the patterns which underlie the compo...
The statistical machine translation (SMT) is widely used by researchers and practitioners in recent ...
Language modeling is critical and indispensable for many natural language ap-plications such as auto...
Abstract: In this paper we present a synthesis of the theoretical fundamentals and some practical as...
This paper describes a novel target-side syntactic language model for phrase-based statistical machi...
This paper presents two studies, first a statistical analysis for three languages i.e. Hindi, Punjab...
La date de publication ne nous a pas encore été communiquéeInternational audienceAs one of the most ...
Most work in syntax-based machine trans-lation has been in translation modeling, but there are many ...
International audienceIn this paper, we present our submitted MT system for the IWSLT2014 Evaluation...
Language modeling is an important part for both speech recognition and machine translation systems. ...
We introduce in this paper a hierarchical hybrid statistical language model, represented as a collec...
Recent years have seen rapid growth in the deployment of statistical methods for computational langu...
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...
SRILM is a collection of C++ libraries, executable programs, and helper scripts designed to allow bo...
Statistical language modelling may not only be used to uncover the patterns which underlie the compo...
The statistical machine translation (SMT) is widely used by researchers and practitioners in recent ...
Language modeling is critical and indispensable for many natural language ap-plications such as auto...
Abstract: In this paper we present a synthesis of the theoretical fundamentals and some practical as...
This paper describes a novel target-side syntactic language model for phrase-based statistical machi...
This paper presents two studies, first a statistical analysis for three languages i.e. Hindi, Punjab...
La date de publication ne nous a pas encore été communiquéeInternational audienceAs one of the most ...
Most work in syntax-based machine trans-lation has been in translation modeling, but there are many ...
International audienceIn this paper, we present our submitted MT system for the IWSLT2014 Evaluation...
Language modeling is an important part for both speech recognition and machine translation systems. ...
We introduce in this paper a hierarchical hybrid statistical language model, represented as a collec...
Recent years have seen rapid growth in the deployment of statistical methods for computational langu...