@inproceedings{ehara-2021-extent-lexical,
title = "To What Extent Does Lexical Normalization Help {E}nglish-as-a-Second Language Learners to Read Noisy {E}nglish Texts?",
author = "Ehara, Yo",
editor = "Xu, Wei and
Ritter, Alan and
Baldwin, Tim and
Rahimi, Afshin",
booktitle = "Proceedings of the Seventh Workshop on Noisy User-generated Text (W-NUT 2021)",
month = nov,
year = "2021",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2021.wnut-1.50",
doi = "10.18653/v1/2021.wnut-1.50",
pages = "451--456",
abstract = "How difficult is it for English-as-a-second language (ESL) learners to read noisy English texts? Do ESL learners need lexical normalization to read noisy English texts? These questions may also affect community formation on social networking sites where differences can be attributed to ESL learners and native English speakers. However, few studies have addressed these questions. To this end, we built highly accurate readability assessors to evaluate the readability of texts for ESL learners. We then applied these assessors to noisy English texts to further assess the readability of the texts. The experimental results showed that although intermediate-level ESL learners can read most noisy English texts in the first place, lexical normalization significantly improves the readability of noisy English texts for ESL learners.",
}
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%0 Conference Proceedings
%T To What Extent Does Lexical Normalization Help English-as-a-Second Language Learners to Read Noisy English Texts?
%A Ehara, Yo
%Y Xu, Wei
%Y Ritter, Alan
%Y Baldwin, Tim
%Y Rahimi, Afshin
%S Proceedings of the Seventh Workshop on Noisy User-generated Text (W-NUT 2021)
%D 2021
%8 November
%I Association for Computational Linguistics
%C Online
%F ehara-2021-extent-lexical
%X How difficult is it for English-as-a-second language (ESL) learners to read noisy English texts? Do ESL learners need lexical normalization to read noisy English texts? These questions may also affect community formation on social networking sites where differences can be attributed to ESL learners and native English speakers. However, few studies have addressed these questions. To this end, we built highly accurate readability assessors to evaluate the readability of texts for ESL learners. We then applied these assessors to noisy English texts to further assess the readability of the texts. The experimental results showed that although intermediate-level ESL learners can read most noisy English texts in the first place, lexical normalization significantly improves the readability of noisy English texts for ESL learners.
%R 10.18653/v1/2021.wnut-1.50
%U https://aclanthology.org/2021.wnut-1.50
%U https://doi.org/10.18653/v1/2021.wnut-1.50
%P 451-456
Markdown (Informal)
[To What Extent Does Lexical Normalization Help English-as-a-Second Language Learners to Read Noisy English Texts?](https://aclanthology.org/2021.wnut-1.50) (Ehara, WNUT 2021)
ACL