This paper discusses the value of using learner corpora to improve language teaching (CALL) software, and NLP tools, focussing on an error detection system to be included within a CALL software for French. We explain how errors are encoded in the corpora and present different types of analyses possible once the corpora have been annotated. We also describe error detection levels, the techniques used for automatic error detection and preliminary results. We then discuss the didactic perspective and the interface of the whole CALL software. Taking past participle agreement as an example, we also provide a concrete illustration of the interplay between learner corpora, NLP tools and didactic content. Finally, we identify key areas for further ...
International audienceWhile the field of Technology-Enhanced Language Learning (TELL) is undeniably ...
Abstract in Undetermined The importance of computer learner corpora for research in both second lang...
The purpose of this chapter is to report on the detection of typical learner errors and areas of dif...
This thesis investigates the use of Natural Language Processing, (NLP) in Computer Assisted Language...
This paper presents an overview of research conducted within the FreeText project in order to build ...
This paper presents an overview of the research conducted within the FreeText project to build an au...
This paper illustrates the usefulness of natural language processing (NLP) tools for computer assist...
This paper presents an overview of research conducted within the FreeText project in order to build ...
Learner corpora – principled collections of learner language – provide interesting insights into the...
In the past 25 years, the increasing user-friendliness of concordance software and availability of d...
This chapter deals with learner corpora, that is, collections of (spoken and/or written) texts produ...
Learner corpora (LC) are electronic collections of spoken or written texts produced by foreign or se...
International audienceThis paper presents a "didactic triangulation" strategy to cope with the probl...
International audienceThis paper presents a "didactic triangulation" strategy to cope with the probl...
This project is a proof-of-concept. It aims to demonstrate the feasibility of an approach to Compute...
International audienceWhile the field of Technology-Enhanced Language Learning (TELL) is undeniably ...
Abstract in Undetermined The importance of computer learner corpora for research in both second lang...
The purpose of this chapter is to report on the detection of typical learner errors and areas of dif...
This thesis investigates the use of Natural Language Processing, (NLP) in Computer Assisted Language...
This paper presents an overview of research conducted within the FreeText project in order to build ...
This paper presents an overview of the research conducted within the FreeText project to build an au...
This paper illustrates the usefulness of natural language processing (NLP) tools for computer assist...
This paper presents an overview of research conducted within the FreeText project in order to build ...
Learner corpora – principled collections of learner language – provide interesting insights into the...
In the past 25 years, the increasing user-friendliness of concordance software and availability of d...
This chapter deals with learner corpora, that is, collections of (spoken and/or written) texts produ...
Learner corpora (LC) are electronic collections of spoken or written texts produced by foreign or se...
International audienceThis paper presents a "didactic triangulation" strategy to cope with the probl...
International audienceThis paper presents a "didactic triangulation" strategy to cope with the probl...
This project is a proof-of-concept. It aims to demonstrate the feasibility of an approach to Compute...
International audienceWhile the field of Technology-Enhanced Language Learning (TELL) is undeniably ...
Abstract in Undetermined The importance of computer learner corpora for research in both second lang...
The purpose of this chapter is to report on the detection of typical learner errors and areas of dif...