We use n-gram language models to investigate how far language approximates an optimal code for human communication in terms of Information Theory [1], and what differences there are between Learner proficiency levels. Although the language of lower level learners is simpler, it is less optimal in terms of information theory, and as a consequence more difficult to process
Quantifying the complexity of a natural language is a difficult task on its own and comparing two or...
International audienceLearning to read a relatively irregular orthography, such as English, is harde...
We introduce theory-neutral estimates of the amount of information learners know about how language ...
We use n-gram language models to investigate how far language approximates an optimal code for human...
With the ever-growing presence of electronic devices in our everyday lives, it is compelling to inve...
Treball fi de màster de: Master in Intelligent Interactive SystemsTutors: Luís F. Seoane, Ricard Sol...
It seems obvious that a successful model of natural language would incorporate a great deal of both ...
This study develops a probabilistic theory of efficiency in natural language. The first part is theo...
Information theory can be used to assess how efficiently a message is transmitted on the basis of di...
Currently, N-gram models are the most common and widely used models for statistical language modelin...
The purpose of this study is to estimate and compare the entropy and redundancy of written English a...
We provide evidence for a rational account of language pro-duction, Uniform Information Density (UID...
One goal common to human sentence processing theories is to develop a cross-linguistically applicabl...
Currently, N-gram models are the most common and widely used models for statistical language modelin...
This thesis aimed to use Individual Learning Efficiency to predict the language performance patterns...
Quantifying the complexity of a natural language is a difficult task on its own and comparing two or...
International audienceLearning to read a relatively irregular orthography, such as English, is harde...
We introduce theory-neutral estimates of the amount of information learners know about how language ...
We use n-gram language models to investigate how far language approximates an optimal code for human...
With the ever-growing presence of electronic devices in our everyday lives, it is compelling to inve...
Treball fi de màster de: Master in Intelligent Interactive SystemsTutors: Luís F. Seoane, Ricard Sol...
It seems obvious that a successful model of natural language would incorporate a great deal of both ...
This study develops a probabilistic theory of efficiency in natural language. The first part is theo...
Information theory can be used to assess how efficiently a message is transmitted on the basis of di...
Currently, N-gram models are the most common and widely used models for statistical language modelin...
The purpose of this study is to estimate and compare the entropy and redundancy of written English a...
We provide evidence for a rational account of language pro-duction, Uniform Information Density (UID...
One goal common to human sentence processing theories is to develop a cross-linguistically applicabl...
Currently, N-gram models are the most common and widely used models for statistical language modelin...
This thesis aimed to use Individual Learning Efficiency to predict the language performance patterns...
Quantifying the complexity of a natural language is a difficult task on its own and comparing two or...
International audienceLearning to read a relatively irregular orthography, such as English, is harde...
We introduce theory-neutral estimates of the amount of information learners know about how language ...