The work targets two areas of Italian morphosyntax: auxiliary selection (AS) and past participle agreement (PPA). In selecting such inflectional morphemes, learners of Italian commit frequent errors, even after a long period of constant study. We aim to enclose AS and PPA within the boundaries of NLP in order that a tool can be developed with a twofold purpose: first, it helps experts to build specific computer drills regarding AS and PPA; second, it assists self-taught learners in verifying whether their periphrastic sentences in Italian are well-turned. This area of Computer-Assisted Language Learning is currently poorly investigated. Further research might substantiate the importance of a field which is aimed at facilitating the study of a foreign language and simultaneously stimulate advances in NLP.

Mirto, I.M., Cipolla, E. (2018). Invalid Syntax: NooJ Assisted Automatic Detection of Errors in Auxiliaries and Past Participles in Italian. In Formalizing Natural Languages with NooJ and its natural language processing applications (pp. 117-129). Springer Verlag [10.1007/978-3-319-73420-0_10].

Invalid Syntax: NooJ Assisted Automatic Detection of Errors in Auxiliaries and Past Participles in Italian

Mirto, Ignazio Mauro
;
Cipolla, Emanuele
2018-01-01

Abstract

The work targets two areas of Italian morphosyntax: auxiliary selection (AS) and past participle agreement (PPA). In selecting such inflectional morphemes, learners of Italian commit frequent errors, even after a long period of constant study. We aim to enclose AS and PPA within the boundaries of NLP in order that a tool can be developed with a twofold purpose: first, it helps experts to build specific computer drills regarding AS and PPA; second, it assists self-taught learners in verifying whether their periphrastic sentences in Italian are well-turned. This area of Computer-Assisted Language Learning is currently poorly investigated. Further research might substantiate the importance of a field which is aimed at facilitating the study of a foreign language and simultaneously stimulate advances in NLP.
2018
Settore L-LIN/01 - Glottologia E Linguistica
978-3-319-73419-4
http://www.springer.com/series/7899
Mirto, I.M., Cipolla, E. (2018). Invalid Syntax: NooJ Assisted Automatic Detection of Errors in Auxiliaries and Past Participles in Italian. In Formalizing Natural Languages with NooJ and its natural language processing applications (pp. 117-129). Springer Verlag [10.1007/978-3-319-73420-0_10].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10447/298958
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