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- W2419343464 abstract "It is a surprising fact that, despite the existence of various mature Natural Language Processing (NLP) tools and resources that can potentially benefit language learning, very few projects are devoted to development of Intelligent Computer-Assisted Language Learning (ICALL) applications. This paper presents an on-going collaborative project whose overall aim is to develop an opensource system architecture for supporting ICALL systems that will facilitate re-use of existing NLP tools and resources on a plugand-play basis. The two language teams – Icelandic and Swedish – have tested the architecture design by implementing two ICALL applications which convincingly show how principles defined by Service-Oriented Architecture (SOA), with web services as implementation technology, can benefit re-use of existing NLP components in ICALL applications. This paper introduces the project, provides the theoretical and practical background, describes the different paths adopted within the two language teams, and presents the first results." @default.
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- W2419343464 date "2012-11-12" @default.
- W2419343464 modified "2023-09-23" @default.
- W2419343464 title "Waste not; want not: Towards a system architecture for ICALL based on NLP component re-use" @default.
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