A Portuguese Native Language Identification Dataset
April 30, 2018 ยท Declared Dead ยท ๐ BEA@NAACL-HLT
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Authors
Iria del Rรญo, Marcos Zampieri, Shervin Malmasi
arXiv ID
1804.11346
Category
cs.CL: Computation & Language
Citations
15
Venue
BEA@NAACL-HLT
Last Checked
4 months ago
Abstract
In this paper we present NLI-PT, the first Portuguese dataset compiled for Native Language Identification (NLI), the task of identifying an author's first language based on their second language writing. The dataset includes 1,868 student essays written by learners of European Portuguese, native speakers of the following L1s: Chinese, English, Spanish, German, Russian, French, Japanese, Italian, Dutch, Tetum, Arabic, Polish, Korean, Romanian, and Swedish. NLI-PT includes the original student text and four different types of annotation: POS, fine-grained POS, constituency parses, and dependency parses. NLI-PT can be used not only in NLI but also in research on several topics in the field of Second Language Acquisition and educational NLP. We discuss possible applications of this dataset and present the results obtained for the first lexical baseline system for Portuguese NLI.
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