Massively Multilingual Pronunciation Mining with WikiPron

被引：0

作者：

Lee, Jackson L.

Ashby, Lucas F. E. ^{[1
]}

Garza, M. Elizabeth ^{[1
]}

Lee-Sikka, Yeonju ^{[1
]}

Miller, Sean ^{[1
]}

Wong, Alan ^{[1
]}

McCarthy, Arya D. ^{[2
]}

Gorman, Kyle ^{[1
]}

机构：

[1] CUNY, Grad Ctr, New York, NY 10021 USA

[2] Johns Hopkins Univ, Ctr Language & Speech Proc, Baltimore, MD 21218 USA

来源：

PROCEEDINGS OF THE 12TH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION (LREC 2020) | 2020年

关键词：

speech; pronunciation; grapheme-to-phoneme; g2p; MODELS;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

We introduce WikiPron, an open-source command-line tool for extracting pronunciation data from Wiktionary, a collaborative multilingual online dictionary. We first describe the design and use of WikiPron. We then discuss the challenges faced scaling this tool to create an automatically-generated database of 1.7 million pronunciations from 165 languages. Finally, we validate the pronunciation database by using it to train and evaluating a collection of generic grapheme-to-phoneme models. The software, pronunciation data, and models are all made available under permissive open-source licenses.

引用

页码：4223 / 4228

页数：6

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