@inproceedings{chaudhary-etal-2021-wall,
title = "When is Wall a Pared and when a Muro?: Extracting Rules Governing Lexical Selection",
author = "Chaudhary, Aditi and
Yin, Kayo and
Anastasopoulos, Antonios and
Neubig, Graham",
editor = "Moens, Marie-Francine and
Huang, Xuanjing and
Specia, Lucia and
Yih, Scott Wen-tau",
booktitle = "Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing",
month = nov,
year = "2021",
address = "Online and Punta Cana, Dominican Republic",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2021.emnlp-main.553",
doi = "10.18653/v1/2021.emnlp-main.553",
pages = "6911--6929",
abstract = "Learning fine-grained distinctions between vocabulary items is a key challenge in learning a new language. For example, the noun {``}wall{''} has different lexical manifestations in Spanish {--} {``}pared{''} refers to an indoor wall while {``}muro{''} refers to an outside wall. However, this variety of lexical distinction may not be obvious to non-native learners unless the distinction is explained in such a way. In this work, we present a method for automatically identifying fine-grained lexical distinctions, and extracting rules explaining these distinctions in a human- and machine-readable format. We confirm the quality of these extracted rules in a language learning setup for two languages, Spanish and Greek, where we use the rules to teach non-native speakers when to translate a given ambiguous word into its different possible translations.",
}
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<abstract>Learning fine-grained distinctions between vocabulary items is a key challenge in learning a new language. For example, the noun “wall” has different lexical manifestations in Spanish – “pared” refers to an indoor wall while “muro” refers to an outside wall. However, this variety of lexical distinction may not be obvious to non-native learners unless the distinction is explained in such a way. In this work, we present a method for automatically identifying fine-grained lexical distinctions, and extracting rules explaining these distinctions in a human- and machine-readable format. We confirm the quality of these extracted rules in a language learning setup for two languages, Spanish and Greek, where we use the rules to teach non-native speakers when to translate a given ambiguous word into its different possible translations.</abstract>
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%0 Conference Proceedings
%T When is Wall a Pared and when a Muro?: Extracting Rules Governing Lexical Selection
%A Chaudhary, Aditi
%A Yin, Kayo
%A Anastasopoulos, Antonios
%A Neubig, Graham
%Y Moens, Marie-Francine
%Y Huang, Xuanjing
%Y Specia, Lucia
%Y Yih, Scott Wen-tau
%S Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
%D 2021
%8 November
%I Association for Computational Linguistics
%C Online and Punta Cana, Dominican Republic
%F chaudhary-etal-2021-wall
%X Learning fine-grained distinctions between vocabulary items is a key challenge in learning a new language. For example, the noun “wall” has different lexical manifestations in Spanish – “pared” refers to an indoor wall while “muro” refers to an outside wall. However, this variety of lexical distinction may not be obvious to non-native learners unless the distinction is explained in such a way. In this work, we present a method for automatically identifying fine-grained lexical distinctions, and extracting rules explaining these distinctions in a human- and machine-readable format. We confirm the quality of these extracted rules in a language learning setup for two languages, Spanish and Greek, where we use the rules to teach non-native speakers when to translate a given ambiguous word into its different possible translations.
%R 10.18653/v1/2021.emnlp-main.553
%U https://aclanthology.org/2021.emnlp-main.553
%U https://doi.org/10.18653/v1/2021.emnlp-main.553
%P 6911-6929
Markdown (Informal)
[When is Wall a Pared and when a Muro?: Extracting Rules Governing Lexical Selection](https://aclanthology.org/2021.emnlp-main.553) (Chaudhary et al., EMNLP 2021)
ACL