A universal system for automatic text-to-phonetics conversion

Chen Gafni

doi:10.26615/978-954-452-056-4_042

A universal system for automatic text-to-phonetics conversion

Chen Gafni

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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	https://doi.org/10.26615/978-954-452-056-4_042
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

Access to Document

10.26615/978-954-452-056-4_042

Cite this

Gafni, C. (2019). A universal system for automatic text-to-phonetics conversion. In G. Angelova, R. Mitkov, I. Nikolova, I. Temnikova, & I. Temnikova (Eds.), International Conference on Recent Advances in Natural Language Processing in a Deep Learning World, RANLP 2019 - Proceedings (pp. 360-366). (International Conference Recent Advances in Natural Language Processing, RANLP; Vol. 2019-September). Incoma Ltd. https://doi.org/10.26615/978-954-452-056-4_042

Gafni, Chen. / A universal system for automatic text-to-phonetics conversion. International Conference on Recent Advances in Natural Language Processing in a Deep Learning World, RANLP 2019 - Proceedings. editor / Galia Angelova ; Ruslan Mitkov ; Ivelina Nikolova ; Irina Temnikova ; Irina Temnikova. Incoma Ltd, 2019. pp. 360-366 (International Conference Recent Advances in Natural Language Processing, RANLP).

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title = "A universal system for automatic text-to-phonetics conversion",

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.",

author = "Chen Gafni",

note = "Publisher Copyright: {\textcopyright} 2019 Association for Computational Linguistics (ACL). All rights reserved.; 12th International Conference on Recent Advances in Natural Language Processing, RANLP 2019 ; Conference date: 02-09-2019 Through 04-09-2019",

year = "2019",

doi = "10.26615/978-954-452-056-4\_042",

language = "English",

series = "International Conference Recent Advances in Natural Language Processing, RANLP",

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Gafni, C 2019, A universal system for automatic text-to-phonetics conversion. in G Angelova, R Mitkov, I Nikolova, I Temnikova & I Temnikova (eds), International Conference on Recent Advances in Natural Language Processing in a Deep Learning World, RANLP 2019 - Proceedings. International Conference Recent Advances in Natural Language Processing, RANLP, vol. 2019-September, Incoma Ltd, pp. 360-366, 12th International Conference on Recent Advances in Natural Language Processing, RANLP 2019, Varna, Bulgaria, 2/09/19. https://doi.org/10.26615/978-954-452-056-4_042

A universal system for automatic text-to-phonetics conversion. / Gafni, Chen.
International Conference on Recent Advances in Natural Language Processing in a Deep Learning World, RANLP 2019 - Proceedings. ed. / Galia Angelova; Ruslan Mitkov; Ivelina Nikolova; Irina Temnikova; Irina Temnikova. Incoma Ltd, 2019. p. 360-366 (International Conference Recent Advances in Natural Language Processing, RANLP; Vol. 2019-September).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - 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.

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M3 - Conference contribution

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BT - International Conference on Recent Advances in Natural Language Processing in a Deep Learning World, RANLP 2019 - Proceedings

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Gafni C. A universal system for automatic text-to-phonetics conversion. In Angelova G, Mitkov R, Nikolova I, Temnikova I, Temnikova I, editors, International Conference on Recent Advances in Natural Language Processing in a Deep Learning World, RANLP 2019 - Proceedings. Incoma Ltd. 2019. p. 360-366. (International Conference Recent Advances in Natural Language Processing, RANLP). doi: 10.26615/978-954-452-056-4_042

A universal system for automatic text-to-phonetics conversion

Abstract

Publication series

Conference

Bibliographical note

ASJC Scopus subject areas

Access to Document

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