The development of Dialog-Based Computer-Assisted Language Learning (DB-CALL) sys-tems requires research on the simulation of language learners. This paper presents a new method for generation of grammar errors, an important part of the language learner simula-tor. Realistic errors are generated via Markov Logic, which provides an effective way to merge a statistical approach with expert know-ledge about the grammar error characteristics of language learners. Results suggest that the distribution of simulated grammar errors gen-erated by the proposed model is similar to that of real learners. Human judges also gave con-sistently close judgments on the quality of the real and simulated grammar errors.
Shortage of available training data is holding back progress in the area of automated error detectio...
Simon Kirby claimed that human could acquire language only with learning bottoleneck, as opposed to ...
This paper describes a system, VP2, that has been implemented to tutor non-native speakers in Englis...
The demand for computer-assisted language learning systems that can provide corrective feedback on l...
This thesis presents a study in the area of computer assisted language learning systems. The study f...
A recent trend in spoken dialogue research is the use of reinforcement learning to train dialogue sy...
This paper describes the error recognition module of an interactive ICALL system with a special focu...
Every teacher of logic knows that the ease with which a student can translate a natural language sen...
Every teacher of logic knows that the ease with which a student can translate a natural language sen...
Every teacher of logic knows that the ease with which a student can translate a natural language sen...
Automatic speech recognition (ASR) of non-native utterances with grammatical errors is problematic. ...
A simulation model is described for the acquisition of the control of syntax in language generation....
We show that under certain conditions, a language model can be trained oil the basis of a second lan...
Goal of this work was to develop a tool for testing algorithms of grammatical inference of context-f...
This paper reports progress in developing a computer model of language acquisition in the form of (1...
Shortage of available training data is holding back progress in the area of automated error detectio...
Simon Kirby claimed that human could acquire language only with learning bottoleneck, as opposed to ...
This paper describes a system, VP2, that has been implemented to tutor non-native speakers in Englis...
The demand for computer-assisted language learning systems that can provide corrective feedback on l...
This thesis presents a study in the area of computer assisted language learning systems. The study f...
A recent trend in spoken dialogue research is the use of reinforcement learning to train dialogue sy...
This paper describes the error recognition module of an interactive ICALL system with a special focu...
Every teacher of logic knows that the ease with which a student can translate a natural language sen...
Every teacher of logic knows that the ease with which a student can translate a natural language sen...
Every teacher of logic knows that the ease with which a student can translate a natural language sen...
Automatic speech recognition (ASR) of non-native utterances with grammatical errors is problematic. ...
A simulation model is described for the acquisition of the control of syntax in language generation....
We show that under certain conditions, a language model can be trained oil the basis of a second lan...
Goal of this work was to develop a tool for testing algorithms of grammatical inference of context-f...
This paper reports progress in developing a computer model of language acquisition in the form of (1...
Shortage of available training data is holding back progress in the area of automated error detectio...
Simon Kirby claimed that human could acquire language only with learning bottoleneck, as opposed to ...
This paper describes a system, VP2, that has been implemented to tutor non-native speakers in Englis...
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