Computer-Assisted Language Learning based on Authentic Texts : applications to Italian
Computer-Assisted Language Learning (CALL) is one of the sub-disciplines within the area of Second Language Acquisition. Clozes, also called fill-in-the-blank, are largely used exercises in language learning applications. A cloze is an exercise where the learner is asked to provide a fragment that h...
Main Author: | |
---|---|
Other Authors: | , , |
Format: | Master Thesis |
Language: | English |
Published: |
Helsingin yliopisto
2021
|
Subjects: | |
Online Access: | http://hdl.handle.net/10138/335693 |
id |
ftunivhelsihelda:oai:helda.helsinki.fi:10138/335693 |
---|---|
record_format |
openpolar |
spelling |
ftunivhelsihelda:oai:helda.helsinki.fi:10138/335693 2023-08-20T04:09:29+02:00 Computer-Assisted Language Learning based on Authentic Texts : applications to Italian Autenttisiin teksteihin perustuva tietokoneavusteinen kielen oppiminen: sovelluksia italian kielelle China-Kolehmainen, Elena Helsingin yliopisto, Humanistinen tiedekunta University of Helsinki, Faculty of Arts Helsingfors universitet, Humanistiska fakulteten 2021 application/pdf http://hdl.handle.net/10138/335693 eng eng Helsingin yliopisto University of Helsinki Helsingfors universitet URN:NBN:fi:hulib-202110263924 http://hdl.handle.net/10138/335693 language technology Italian CALL Computer-Assisted Language Learning language learning cloze generation automatic exercise generation Kielellisen diversiteetin ja digitaalisten menetelmien maisteriohjelma Master's Programme Linguistic Diversity in the Digital Age Magisterprogrammet i språklig diversitet och digitala metoder Kieliteknologia Språkteknologi pro gradu -tutkielmat master's thesis pro gradu-avhandlingar 2021 ftunivhelsihelda 2023-07-28T06:03:27Z Computer-Assisted Language Learning (CALL) is one of the sub-disciplines within the area of Second Language Acquisition. Clozes, also called fill-in-the-blank, are largely used exercises in language learning applications. A cloze is an exercise where the learner is asked to provide a fragment that has been removed from the text. For language learning purposes, in addition to open-end clozes where one or more words are removed and the student must fill the gap, another type of cloze is commonly used, namely multiple-choice cloze. In a multiple-choice cloze, a fragment is removed from the text and the student must choose the correct answer from multiple options. Multiple-choice exercises are a common way of practicing and testing grammatical knowledge. The aim of this work is to identify relevant learning constructs for Italian to be applied to automatic exercises creation based on authentic texts in the Revita Framework. Learning constructs are units that represent language knowledge. Revita is a free to use online platform that was designed to provide language learning tools with the aim of revitalizing endangered languages including several Finno-Ugric languages such as North Saami. Later non-endangered languages were added. Italian is the first majority language to be added in a principled way. This work paves the way towards adding new languages in the future. Its purpose is threefold: it contributes to the raising of Italian from its beta status towards a full development stage; it formulates best practices for defining support for a new language and it serves as a documentation of what has been done, how and what remains to be done. Grammars and linguistic resources were consulted to compile an inventory of learning constructs for Italian. Analytic and pronominal verbs, verb government with prepositions, and noun phrase agreement were implemented by designing pattern rules that match sequences of tokens with specific parts-of-speech, surfaces and morphological tags. The rules were tested with test sentences ... Master Thesis saami Helsingfors Universitet: HELDA – Helsingin yliopiston digitaalinen arkisto |
institution |
Open Polar |
collection |
Helsingfors Universitet: HELDA – Helsingin yliopiston digitaalinen arkisto |
op_collection_id |
ftunivhelsihelda |
language |
English |
topic |
language technology Italian CALL Computer-Assisted Language Learning language learning cloze generation automatic exercise generation Kielellisen diversiteetin ja digitaalisten menetelmien maisteriohjelma Master's Programme Linguistic Diversity in the Digital Age Magisterprogrammet i språklig diversitet och digitala metoder Kieliteknologia Språkteknologi |
spellingShingle |
language technology Italian CALL Computer-Assisted Language Learning language learning cloze generation automatic exercise generation Kielellisen diversiteetin ja digitaalisten menetelmien maisteriohjelma Master's Programme Linguistic Diversity in the Digital Age Magisterprogrammet i språklig diversitet och digitala metoder Kieliteknologia Språkteknologi China-Kolehmainen, Elena Computer-Assisted Language Learning based on Authentic Texts : applications to Italian |
topic_facet |
language technology Italian CALL Computer-Assisted Language Learning language learning cloze generation automatic exercise generation Kielellisen diversiteetin ja digitaalisten menetelmien maisteriohjelma Master's Programme Linguistic Diversity in the Digital Age Magisterprogrammet i språklig diversitet och digitala metoder Kieliteknologia Språkteknologi |
description |
Computer-Assisted Language Learning (CALL) is one of the sub-disciplines within the area of Second Language Acquisition. Clozes, also called fill-in-the-blank, are largely used exercises in language learning applications. A cloze is an exercise where the learner is asked to provide a fragment that has been removed from the text. For language learning purposes, in addition to open-end clozes where one or more words are removed and the student must fill the gap, another type of cloze is commonly used, namely multiple-choice cloze. In a multiple-choice cloze, a fragment is removed from the text and the student must choose the correct answer from multiple options. Multiple-choice exercises are a common way of practicing and testing grammatical knowledge. The aim of this work is to identify relevant learning constructs for Italian to be applied to automatic exercises creation based on authentic texts in the Revita Framework. Learning constructs are units that represent language knowledge. Revita is a free to use online platform that was designed to provide language learning tools with the aim of revitalizing endangered languages including several Finno-Ugric languages such as North Saami. Later non-endangered languages were added. Italian is the first majority language to be added in a principled way. This work paves the way towards adding new languages in the future. Its purpose is threefold: it contributes to the raising of Italian from its beta status towards a full development stage; it formulates best practices for defining support for a new language and it serves as a documentation of what has been done, how and what remains to be done. Grammars and linguistic resources were consulted to compile an inventory of learning constructs for Italian. Analytic and pronominal verbs, verb government with prepositions, and noun phrase agreement were implemented by designing pattern rules that match sequences of tokens with specific parts-of-speech, surfaces and morphological tags. The rules were tested with test sentences ... |
author2 |
Helsingin yliopisto, Humanistinen tiedekunta University of Helsinki, Faculty of Arts Helsingfors universitet, Humanistiska fakulteten |
format |
Master Thesis |
author |
China-Kolehmainen, Elena |
author_facet |
China-Kolehmainen, Elena |
author_sort |
China-Kolehmainen, Elena |
title |
Computer-Assisted Language Learning based on Authentic Texts : applications to Italian |
title_short |
Computer-Assisted Language Learning based on Authentic Texts : applications to Italian |
title_full |
Computer-Assisted Language Learning based on Authentic Texts : applications to Italian |
title_fullStr |
Computer-Assisted Language Learning based on Authentic Texts : applications to Italian |
title_full_unstemmed |
Computer-Assisted Language Learning based on Authentic Texts : applications to Italian |
title_sort |
computer-assisted language learning based on authentic texts : applications to italian |
publisher |
Helsingin yliopisto |
publishDate |
2021 |
url |
http://hdl.handle.net/10138/335693 |
genre |
saami |
genre_facet |
saami |
op_relation |
URN:NBN:fi:hulib-202110263924 http://hdl.handle.net/10138/335693 |
_version_ |
1774722477524516864 |