A Deep Generative Model of Vowel Formant Typology

07/08/2018
by   Ryan Cotterell, et al.
0

What makes some types of languages more probable than others? For instance, we know that almost all spoken languages contain the vowel phoneme /i/; why should that be? The field of linguistic typology seeks to answer these questions and, thereby, divine the mechanisms that underlie human language. In our work, we tackle the problem of vowel system typology, i.e., we propose a generative probability model of which vowels a language contains. In contrast to previous work, we work directly with the acoustic information -- the first two formant values -- rather than modeling discrete sets of phonemic symbols (IPA). We develop a novel generative probability model and report results based on a corpus of 233 languages.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
05/04/2017

Probabilistic Typology: Deep Generative Models of Vowel Inventories

Linguistic typology studies the range of structures present in human lan...
research
03/26/2019

A Probabilistic Generative Model of Linguistic Typology

In the Principles and Parameters framework, the structural features of l...
research
03/10/2020

TyDi QA: A Benchmark for Information-Seeking Question Answering in Typologically Diverse Languages

Confidently making progress on multilingual modeling requires challengin...
research
05/22/2023

Automatic Spell Checker and Correction for Under-represented Spoken Languages: Case Study on Wolof

This paper presents a spell checker and correction tool specifically des...
research
09/17/2018

Open Subtitles Paraphrase Corpus for Six Languages

This paper accompanies the release of Opusparcus, a new paraphrase corpu...
research
09/12/2018

Multimodal neural pronunciation modeling for spoken languages with logographic origin

Graphemes of most languages encode pronunciation, though some are more e...
research
02/16/2018

Deep Generative Model for Joint Alignment and Word Representation

This work exploits translation data as a source of semantically relevant...

Please sign up or login with your details

Forgot password? Click here to reset