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

  • Ignazio Mauro MirtoEmail author
  • Emanuele Cipolla
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 811)


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.


Automatic identification of grammatical relations Inflectional morpheme generation CALL 


  1. 1.
    Perlmutter, D.: The Unaccusative hypothesis and multiattachment: Italian evidence. Paper Presented to the Harvard Linguistics Circle, 9 May 1978Google Scholar
  2. 2.
    Rosen, C.G.: The relational structure of reflexive clauses: evidence from Italian. Ph.D. dissertation, Harvard University (1981)Google Scholar
  3. 3.
    Rosen, C.G.: The interaction between semantic roles and initial grammatical relations. In: Perlmutter, D., Rosen, C. (eds.) Studies in Relational Grammar, pp. 38–77. University of Chicago Press, Chicago (1984)Google Scholar
  4. 4.
    Corder, S.P.: The significance of learners’ errors. IRAL 5(4), 161–170 (1967)Google Scholar
  5. 5.
    Levy, M.: CALL: Context and Conceptualisation. Oxford University Press, Oxford (1997)Google Scholar
  6. 6.
    Lepschy, A.L., Lepschy, G.: The Italian Language Today. New Amsterdam Books, New York (1977)Google Scholar
  7. 7.
    La Fauci, N., Rosen C.G.: Past participle agreement in five Romance varieties. Texto! 15(3) (2010/1993)Google Scholar
  8. 8.
    La Fauci, N.: Oggetti e soggetti nella formazione della morfosintassi romanza. Giardini (Nuova collana di linguistica, 4), Pisa (1988)Google Scholar
  9. 9.
    Leacock, C., Chodorow, M., Gamon, M., Tetreault, J.: Automated grammatical error detected for language learners. In: Hirst, G. (ed.) Synthesis Lectures on Human Language Technologies, vol. 25. Morgan & Claypool (2014)Google Scholar
  10. 10.
    ten Hacken, P.: Computer-Assisted Language Learning and the Revolution in Computational Linguistics. Accessed 01 Sept 2017
  11. 11.
    Gerdts, D.: Relational visibility. In: Dziwirek, K., et al. (eds.) Grammatical Relations: A Cross-Theoretical Perspective, pp. 199–214. Stanford University, CSLI, Stanford (1990)Google Scholar
  12. 12.
    La Fauci, N.: Relazioni e differenze. Questioni di linguistica razionale. Sellerio, Palermo (2011)Google Scholar
  13. 13.
    Burzio, L.: Italian Syntax: A Government-Binding Approach. Reidel, Boston, Dordrecht (1986)CrossRefGoogle Scholar
  14. 14.
    Sorace, A.: Gradience at the lexicon-syntax interface: evidence from auxiliary selection and implications for unaccusativity. In: Alexiadou, A., et al. (eds.) The Unaccusativity Puzzle, pp. 243–268. Oxford University Press, Oxford (2004)CrossRefGoogle Scholar
  15. 15.
    Huang, C.-R., Hong, J.-F, Ma, W.-Y, Šimon, P.: From corpus to grammar: automatic extraction of grammatical relations from annotated corpus. Accessed 09 Sept 2017
  16. 16.
    Carroll, J., Briscoe, T.: High precision extraction of grammatical relations. In: Bunt, H., Carroll, J., Satta, G. (eds.) New Developments in Parsing Technology, vol. 23, pp. 57–72. Springer, Dordrecht (2005). CrossRefGoogle Scholar
  17. 17.
    Dell’Orletta, F., Lenci, A., Montemagni, S., Pirrelli, V.: Climbing the path to grammar: a maximum entropy model of subject/object learning. In: Psychocomputational Models of Human Language Acquisition, pp. 72–81. Association for Computational Linguistics, New Brunswick (2005)Google Scholar
  18. 18.
    Mirto, I.M., Maisto, A.: Della identificazione automatica del soggetto nella proposizione semplice, paper submitted to the CLiC-it 2017 conferenceGoogle Scholar
  19. 19.
    Mirto, I.M., Cipolla, E.: Dalla word sense disambiguation alla sintassi, paper submitted to the CLiC-it 2017 conferenceGoogle Scholar
  20. 20.
    Jurafski, D., Martin, J.H.: Speech and Language Processing. Prentice Hall, Upper Saddle River (2000)Google Scholar
  21. 21.
    La Fauci, N., Mirto, I.M.: Fare. Elementi di sintassi. ETS, Pisa (2003)Google Scholar
  22. 22.
    La Fauci, N.: Compendio di sintassi italiana. Il Mulino, Bologna (2009)Google Scholar
  23. 23.
    Elia, A.: Operatori, argomenti e il sistema “LEG-Semantic Role Labelling” dell’italiano. In: Mirto, I.M. (ed.) Le relazioni irresistibili, pp. 105–118. Pisa, ETS (2014)Google Scholar
  24. 24.
    La Fauci, N.: Relazioni e differenze. Questioni di linguistica razionale. Sellerio, Palermo (2011)Google Scholar
  25. 25.
    Silberztein, M.: Formalizing Natural Languages. The NooJ Approach. ISTE Ltd., Wiley, London, Hoboken (2016)CrossRefGoogle Scholar
  26. 26.
    Gardent, C., Guillaume, B., Perrier, G. Falk, I.: Maurice Gross’ grammar lexicon and Natural Language Parsing. Accessed 08 Sept 2017
  27. 27.
    Perlmutter, D.: Multiattachment and the unaccusative hypothesis: the perfect auxiliary in Italian. Probus 1, 63–119 (1989)CrossRefGoogle Scholar
  28. 28.
    Rosen, C.G., La Fauci, N.: Ragionare di grammatica. Un avviamento amichevole. ETS, Pisa (2017)Google Scholar

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© Springer International Publishing AG 2018

Authors and Affiliations

  1. 1.Università di PalermoPalermoItaly
  2. 2.Consiglio Nazionale delle RicerchePalermoItaly

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