@inproceedings{wu-yarowsky-2020-wiktionary,
title = "{W}iktionary Normalization of Translations and Morphological Information",
author = "Wu, Winston and
Yarowsky, David",
editor = "Scott, Donia and
Bel, Nuria and
Zong, Chengqing",
booktitle = "Proceedings of the 28th International Conference on Computational Linguistics",
month = dec,
year = "2020",
address = "Barcelona, Spain (Online)",
publisher = "International Committee on Computational Linguistics",
url = "https://aclanthology.org/2020.coling-main.413",
doi = "10.18653/v1/2020.coling-main.413",
pages = "4683--4692",
abstract = "We extend the Yawipa Wiktionary Parser (Wu and Yarowsky, 2020) to extract and normalize translations from etymology glosses, and morphological form-of relations, resulting in 300K unique translations and over 4 million instances of 168 annotated morphological relations. We propose a method to identify typos in translation annotations. Using the extracted morphological data, we develop multilingual neural models for predicting three types of word formation{---}clipping, contraction, and eye dialect{---}and improve upon a standard attention baseline by using copy attention.",
}
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%0 Conference Proceedings
%T Wiktionary Normalization of Translations and Morphological Information
%A Wu, Winston
%A Yarowsky, David
%Y Scott, Donia
%Y Bel, Nuria
%Y Zong, Chengqing
%S Proceedings of the 28th International Conference on Computational Linguistics
%D 2020
%8 December
%I International Committee on Computational Linguistics
%C Barcelona, Spain (Online)
%F wu-yarowsky-2020-wiktionary
%X We extend the Yawipa Wiktionary Parser (Wu and Yarowsky, 2020) to extract and normalize translations from etymology glosses, and morphological form-of relations, resulting in 300K unique translations and over 4 million instances of 168 annotated morphological relations. We propose a method to identify typos in translation annotations. Using the extracted morphological data, we develop multilingual neural models for predicting three types of word formation—clipping, contraction, and eye dialect—and improve upon a standard attention baseline by using copy attention.
%R 10.18653/v1/2020.coling-main.413
%U https://aclanthology.org/2020.coling-main.413
%U https://doi.org/10.18653/v1/2020.coling-main.413
%P 4683-4692
Markdown (Informal)
[Wiktionary Normalization of Translations and Morphological Information](https://aclanthology.org/2020.coling-main.413) (Wu & Yarowsky, COLING 2020)
ACL