Abstract
This study presents SMILLE, a system that draws on the Noticing Hypothesis and on input enhancements, addressing the lack of salience of grammatical infor mation in online documents chosen by a given user. By means of input enhancements, the system can draw the user’s attention to grammar, which could possibly lead to a higher intake per input ratio for metalinguistic information. The system receives as input an online document and submits it to a combined processing of parser and hand-written rules for detecting its grammatical structures. The input text can be freely chosen by the user, providing a more engaging experience and reflecting the user’s interests. The system can enhance a total of 107 fine-grained types of grammatical structures that are based on the CEFR. An evaluation of some of those structures resulted in an overall precision of 87%.- Anthology ID:
- R17-1107
- Volume:
- Proceedings of the International Conference Recent Advances in Natural Language Processing, RANLP 2017
- Month:
- September
- Year:
- 2017
- Address:
- Varna, Bulgaria
- Editors:
- Ruslan Mitkov, Galia Angelova
- Venue:
- RANLP
- SIG:
- Publisher:
- INCOMA Ltd.
- Note:
- Pages:
- 839–846
- Language:
- URL:
- https://doi.org/10.26615/978-954-452-049-6_107
- DOI:
- 10.26615/978-954-452-049-6_107
- Cite (ACL):
- Leonardo Zilio, Rodrigo Wilkens, and Cédrick Fairon. 2017. Using NLP for Enhancing Second Language Acquisition. In Proceedings of the International Conference Recent Advances in Natural Language Processing, RANLP 2017, pages 839–846, Varna, Bulgaria. INCOMA Ltd..
- Cite (Informal):
- Using NLP for Enhancing Second Language Acquisition (Zilio et al., RANLP 2017)
- PDF:
- https://doi.org/10.26615/978-954-452-049-6_107