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Building a suite of online resources to support academic vocabulary learning Stefania Spina Università per Stranieri di Perugia, Italia [email_address]
 
LELE: Linguistically-Enhanced Learning Environment ,[object Object],[object Object],[object Object],EUROCALL 2009 - Stefania Spina -  Building a suite of online resources to support academic vocabulary learning
Origin ,[object Object],[object Object],[object Object],[object Object],[object Object],EUROCALL 2009 - Stefania Spina -  Building a suite of online resources to support academic vocabulary learning
4 vocabulary categories ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],EUROCALL 2009 - Stefania Spina -  Building a suite of online resources to support academic vocabulary learning
casa (home) mangiare (eat) biglietto (ticket) approccio (approach) elaborare (elaborate) consolidato (well-established)
Lexical tests on academic vocabulary
Three steps ,[object Object],[object Object],[object Object],EUROCALL 2009 - Stefania Spina -  Building a suite of online resources to support academic vocabulary learning
Identifying academic words ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],EUROCALL 2009 - Stefania Spina -  Building a suite of online resources to support academic vocabulary learning
Extraction of frequency list ,[object Object],[object Object],[object Object],[object Object],[object Object],EUROCALL 2009 - Stefania Spina -  Building a suite of online resources to support academic vocabulary learning
The Academic Italian Word List (AIWL) ,[object Object],[object Object],[object Object],[object Object],[object Object],EUROCALL 2009 - Stefania Spina -  Building a suite of online resources to support academic vocabulary learning
Composition of the AIWL ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],EUROCALL 2009 - Stefania Spina -  Building a suite of online resources to support academic vocabulary learning
From AIWL to a lexical database ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],EUROCALL 2009 - Stefania Spina -  Building a suite of online resources to support academic vocabulary learning
[object Object]
Integration in a PLE
 
 
 
 
 
 
il potenziale della tecnologia nella didattica text filtered 1. POS-tagged 2. compare with DB 3. match found il ART il potenziale NOUN potenziale della  ARTPRE di tecnologia NOUN tecnologia potenziale NOUN potenziale
Database + POS tagger = disambiguation  words that have different POS (tagger shows the appropriate linguistic information extracted from the database)
Automatic cloze-generation
Student-generated glossary ,[object Object]
Learning advantages ,[object Object],[object Object],[object Object],EUROCALL 2009 - Stefania Spina -  Building a suite of online resources to support academic vocabulary learning
Future work ,[object Object],[object Object],[object Object],[object Object],EUROCALL 2009 - Stefania Spina -  Building a suite of online resources to support academic vocabulary learning
Conclusions: Lele ,[object Object],[object Object],[object Object],[object Object],[object Object],EUROCALL 2009 - Stefania Spina -  Building a suite of online resources to support academic vocabulary learning
References ,[object Object],[object Object],[object Object],[object Object]

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Building a suite of online resources to support academic vocabulary learning

  • 1. Building a suite of online resources to support academic vocabulary learning Stefania Spina Università per Stranieri di Perugia, Italia [email_address]
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  • 6. casa (home) mangiare (eat) biglietto (ticket) approccio (approach) elaborare (elaborate) consolidato (well-established)
  • 7. Lexical tests on academic vocabulary
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  • 22. il potenziale della tecnologia nella didattica text filtered 1. POS-tagged 2. compare with DB 3. match found il ART il potenziale NOUN potenziale della ARTPRE di tecnologia NOUN tecnologia potenziale NOUN potenziale
  • 23. Database + POS tagger = disambiguation words that have different POS (tagger shows the appropriate linguistic information extracted from the database)
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