This document includes a more detailed description about the usage of CUED-RNNLM Toolkit introduced in [1]. 1 Language Model Language model is a crucial component in many fields, such as speech recogni-tion, machine translation, spoken language understanding. The aim of language model is to estimate the probability of a given sentence W as shown in Eqn 1. P (W)
A Language Model (LM) is a helpful component of a variety of Natural Language Processing (NLP) syste...
Grammar-based natural language processing has reached a level where it can `understand' language to ...
A new language model inspired by linguistic analysis is presented. The model develops hidden hierarc...
Description of the Speech Recognition Training and Test Data and its Availability used for Experimen...
A language model is simply a model of what strings (of words) are more or less likely to be generate...
A language model (LM) is a probability distribution over all possible word sequences. It is a vital ...
This repository contains the raw results (by word information-theoretic measures for the experimenta...
Statistical language modelling may not only be used to uncover the patterns which underlie the compo...
Building models of language is a central task in natural language processing. Traditionally, languag...
In recent years, recurrent neural network language models (RNNLMs) have become increasingly popular ...
Building probabilistic models of language is a central task in natural language and speech processin...
This paper explores state-of-the-art techniques for creating language models in low-resource setting...
Language modeling is critical and indispensable for many natural language ap-plications such as auto...
Statistical language models are widely used in automatic speech recognition in order to constrain th...
There is an ongoing debate in the NLP community whether modern language models contain linguistic k...
A Language Model (LM) is a helpful component of a variety of Natural Language Processing (NLP) syste...
Grammar-based natural language processing has reached a level where it can `understand' language to ...
A new language model inspired by linguistic analysis is presented. The model develops hidden hierarc...
Description of the Speech Recognition Training and Test Data and its Availability used for Experimen...
A language model is simply a model of what strings (of words) are more or less likely to be generate...
A language model (LM) is a probability distribution over all possible word sequences. It is a vital ...
This repository contains the raw results (by word information-theoretic measures for the experimenta...
Statistical language modelling may not only be used to uncover the patterns which underlie the compo...
Building models of language is a central task in natural language processing. Traditionally, languag...
In recent years, recurrent neural network language models (RNNLMs) have become increasingly popular ...
Building probabilistic models of language is a central task in natural language and speech processin...
This paper explores state-of-the-art techniques for creating language models in low-resource setting...
Language modeling is critical and indispensable for many natural language ap-plications such as auto...
Statistical language models are widely used in automatic speech recognition in order to constrain th...
There is an ongoing debate in the NLP community whether modern language models contain linguistic k...
A Language Model (LM) is a helpful component of a variety of Natural Language Processing (NLP) syste...
Grammar-based natural language processing has reached a level where it can `understand' language to ...
A new language model inspired by linguistic analysis is presented. The model develops hidden hierarc...
Add to ORKG