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An Overview of How Semantics and Corrections Can Help Language Learning
- Source :
- 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology.
- Publication Year :
- 2011
- Publisher :
- IEEE, 2011.
-
Abstract
- We present an overview of the results obtained with a computational model that takes into account semantics and corrections for language learning. This model is constructed with a learner and a teacher who interact in a sequence of shared situations. The model was tested with limited sublanguages of 10 natural languages in a common domain of situations.
- Subjects :
- Grammar
Computer science
business.industry
Semantics (computer science)
Programming language
media_common.quotation_subject
05 social sciences
Context (language use)
02 engineering and technology
Semantics
Language acquisition
computer.software_genre
050105 experimental psychology
Domain (software engineering)
Interactive Learning
Computational semantics
0202 electrical engineering, electronic engineering, information engineering
020201 artificial intelligence & image processing
0501 psychology and cognitive sciences
Artificial intelligence
business
computer
Natural language
Natural language processing
media_common
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology
- Accession number :
- edsair.doi...........35b4c4a9b080fe4a6e292efaa6a58d59
- Full Text :
- https://doi.org/10.1109/wi-iat.2011.173