Abstract
In this paper, we discuss the results of the IUCL system in the NLI Shared Task 2017. For our system, we explore a variety of phonetic algorithms to generate features for Native Language Identification. These features are contrasted with one of the most successful type of features in NLI, character n-grams. We find that although phonetic features do not perform as well as character n-grams alone, they do increase overall F1 score when used together with character n-grams.
Cite
CITATION STYLE
Smiley, C., & Kübler, S. (2017). Native language identification using phonetic algorithms. In EMNLP 2017 - 12th Workshop on Innovative Use of NLP for Building Educational Applications, BEA 2017 - Proceedings of the Workshop (pp. 405–412). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/w17-5046
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