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A corpus of drafts of NLP papers from non-native English speakers

Published: 27 June 2023 Publication History

Abstract

We created an English parallel corpus of 3,005 sentence pairs, each containing a well-polished text from ACL Anthology Reference Corpus (ACL-ARC) [1] and corresponding restated drafts collected from 26 non-native writers. The purpose of this paper is to explore the writing features of the drafts from non-native English speakers, so as to benefit research in Academic Writing Aid Systems. We present a feature analysis of the corpus based on handcrafted features. To assess utility, we formulate a draft identification task to automatically recognize drafts from ground truth texts based on hybrid features. We show that the combination of deep semantic features with the optimal handcrafted features improves identification accuracy on the collected data, up to 84.57%.

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  1. A corpus of drafts of NLP papers from non-native English speakers

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      NLPIR '22: Proceedings of the 2022 6th International Conference on Natural Language Processing and Information Retrieval
      December 2022
      241 pages
      ISBN:9781450397629
      DOI:10.1145/3582768
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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      Published: 27 June 2023

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      Author Tags

      1. Academic writing
      2. Corpus
      3. Feature analysis
      4. Non-native English

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