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Native Language Identification using Phonetic Algorithms
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Authors: Charese Smiley,S K{\"u}bler,ra
Where published: WS 2017 9
Document: PDF DOI
Abstract URL: https://www.aclweb.org/anthology/W17-5046/
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.
Where published: WS 2017 9
Document: PDF DOI
Abstract URL: https://www.aclweb.org/anthology/W17-5046/
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.
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