COLING 2020main10 citations
Wiktionary Normalization of Translations and Morphological Information
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.
BibTeX
@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"
}