%0 Conference Paper %1 Angelova:2004:TDU:1610028.1610035 %A Angelova, Galia %A Strupchanska, Albena %A Kalaydjiev, Ognyan %A Yankova, Milena %A Boytcheva, Svetla %A Vitanova, Irena %A Nakov, Preslav %B Proceedings of the Workshop on eLearning for Computational Linguistics and Computational Linguistics for eLearning %C Stroudsburg, PA, USA %D 2004 %I Association for Computational Linguistics %K CALL document evaluation information retrieval semantics similarity user %P 45--52 %T Towards deeper understanding and personalisation in CALL %U http://dl.acm.org/citation.cfm?id=1610028.1610035 %X We consider in depth the semantic analysis in learning systems as well as some information retrieval techniques applied for measuring the document similarity in eLearning. These results are obtained in a CALL project, which ended by extensive user evaluation. After several years spent in the development of CALL modules and prototypes, we think that much closer cooperation with real teaching experts is necessary, to find the proper learning niches and suitable wrappings of the language technologies, which could give birth to useful eLearning solutions.

@inproceedings{Angelova:2004:TDU:1610028.1610035, abstract = {We consider in depth the semantic analysis in learning systems as well as some information retrieval techniques applied for measuring the document similarity in eLearning. These results are obtained in a CALL project, which ended by extensive user evaluation. After several years spent in the development of CALL modules and prototypes, we think that much closer cooperation with real teaching experts is necessary, to find the proper learning niches and suitable wrappings of the language technologies, which could give birth to useful eLearning solutions.}, acmid = {1610035}, added-at = {2012-12-14T10:07:04.000+0100}, address = {Stroudsburg, PA, USA}, author = {Angelova, Galia and Strupchanska, Albena and Kalaydjiev, Ognyan and Yankova, Milena and Boytcheva, Svetla and Vitanova, Irena and Nakov, Preslav}, biburl = {https://www.bibsonomy.org/bibtex/2afa5befc689bf4da7cd5043b8c1b54ff/martin-zenker}, booktitle = {Proceedings of the Workshop on eLearning for Computational Linguistics and Computational Linguistics for eLearning}, description = {Towards deeper understanding and personalisation in CALL}, interhash = {9d8e1eef081b3f7717b36a8b1a757096}, intrahash = {afa5befc689bf4da7cd5043b8c1b54ff}, keywords = {CALL document evaluation information retrieval semantics similarity user}, location = {Geneva}, numpages = {8}, pages = {45--52}, publisher = {Association for Computational Linguistics}, series = {eLearn '04}, timestamp = {2012-12-14T10:07:05.000+0100}, title = {Towards deeper understanding and personalisation in CALL}, url = {http://dl.acm.org/citation.cfm?id=1610028.1610035}, year = 2004 }