SMILLE for Portuguese: Annotation and Analysis of Grammatical Structures in a Pedagogical Context
(2018) International Conference on Computational Processing of the Portuguese Language — ISBN: [978-3-319-99722-3], published
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- Authors
Souza Wilkens, Rodrigo 
- Abstract
- In Second Language Acquisition (SLA), the exposure of learners to authentic material is an important learning step, but the use of raw text may pose problems, because the information that the learner should be focusing on may be overlooked. In this paper, we present SMILLE for Portuguese, a system for detecting pedagogically relevant grammatical structures in raw texts. SMILLE’s rules for recog- nizing grammatical structures were evaluated in random sentences from three different genres, achieving an overall precision of 84%. The auto- matic recognition of pedagogically relevant grammatical structures can help teachers and course coordinators to better inform the choice of texts to be used in language courses, while also allowing for the analysis of grammar profiles for SLA. As a case study, we used SMILLE to analyze pedagogical material used in a Portuguese as foreign language course and to observe how the predominance of grammatical content in the texts is related to the described grammatical focus of the language levels.
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Citations
Zilio, L., Souza Wilkens, R., & Fairon, C. (2018). SMILLE for Portuguese: Annotation and Analysis of Grammatical Structures in a Pedagogical Context. In Aline Villavicencio, Viviane Moreira, Alberto Abad e.a. (ed.), International Conference on Computational Processing of the Portuguese Language. https://hdl.handle.net/2078.5/234027