Abstract
This paper describes an automatic text-to-phonetics conversion system. The system was constructed to primarily serve as a research tool. It is implemented in a general-purpose linguistic software, which allows it to be incorporated in a multifaceted linguistic research in essentially any language. The system currently relies on two mechanisms to generate phonetic transcriptions from texts: (i) importing ready-made phonetic word forms from external dictionaries, and (ii) automatic generation of phonetic word forms based on a set of deterministic linguistic rules. The current paper describes the proposed system and its potential application to linguistic research.
| Original language | English |
|---|---|
| Title of host publication | International Conference on Recent Advances in Natural Language Processing in a Deep Learning World, RANLP 2019 - Proceedings |
| Editors | Galia Angelova, Ruslan Mitkov, Ivelina Nikolova, Irina Temnikova, Irina Temnikova |
| Publisher | Incoma Ltd |
| Pages | 360-366 |
| Number of pages | 7 |
| ISBN (Electronic) | 9789544520557 |
| DOIs | |
| State | Published - 2019 |
| Externally published | Yes |
| Event | 12th International Conference on Recent Advances in Natural Language Processing, RANLP 2019 - Varna, Bulgaria Duration: 2 Sep 2019 → 4 Sep 2019 |
Publication series
| Name | International Conference Recent Advances in Natural Language Processing, RANLP |
|---|---|
| Volume | 2019-September |
| ISSN (Print) | 1313-8502 |
Conference
| Conference | 12th International Conference on Recent Advances in Natural Language Processing, RANLP 2019 |
|---|---|
| Country/Territory | Bulgaria |
| City | Varna |
| Period | 2/09/19 → 4/09/19 |
Bibliographical note
Publisher Copyright:© 2019 Association for Computational Linguistics (ACL). All rights reserved.
ASJC Scopus subject areas
- Software
- Computer Science Applications
- Artificial Intelligence
- Electrical and Electronic Engineering