Large-scale text collection for unwritten languages

Florian Hanke; Steven Bird

Large-scale text collection for unwritten languages

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper published in Proceedings › peer-review

Abstract

Existing methods for collecting texts from endangered languages are not creating the quantity of data that is needed for corpus studies and natural language processing tasks. This is because the process of transcribing and translating from audio recordings is too onerous. A more effective method, we argue, is to involve local speakers in the field location, using an audio-only translation interface that is
portable and easy to use. We present encouraging early results of an experimental investigation of the efficiency of creating translations using this method, and report
on the quality of the resulting content.

Original language	English
Title of host publication	Proceedings of the 6th International Joint Conference on Natural Language Processing
Publisher	Asian Federation of Natural Language Processing
Pages	1134-1138
Number of pages	5
Publication status	Published - 2013
Externally published	Yes
Event	International Joint Conference on Natural Language Processing - Nagoya, Japan Duration: 14 Oct 2013 → 18 Oct 2013 Conference number: 6th

Conference

Conference	International Joint Conference on Natural Language Processing
Country/Territory	Japan
City	Nagoya
Period	14/10/13 → 18/10/13

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https://www.aclweb.org/anthology/I13-1161Licence: CC BY

Cite this

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title = "Large-scale text collection for unwritten languages",

abstract = "Existing methods for collecting texts from endangered languages are not creating the quantity of data that is needed for corpus studies and natural language processing tasks. This is because the process of transcribing and translating from audio recordings is too onerous. A more effective method, we argue, is to involve local speakers in the field location, using an audio-only translation interface that isportable and easy to use. We present encouraging early results of an experimental investigation of the efficiency of creating translations using this method, and reporton the quality of the resulting content.",

author = "Florian Hanke and Steven Bird",

year = "2013",

language = "English",

pages = "1134--1138",

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publisher = "Asian Federation of Natural Language Processing",

note = "International Joint Conference on Natural Language Processing ; Conference date: 14-10-2013 Through 18-10-2013",

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AU - Bird, Steven

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N2 - Existing methods for collecting texts from endangered languages are not creating the quantity of data that is needed for corpus studies and natural language processing tasks. This is because the process of transcribing and translating from audio recordings is too onerous. A more effective method, we argue, is to involve local speakers in the field location, using an audio-only translation interface that isportable and easy to use. We present encouraging early results of an experimental investigation of the efficiency of creating translations using this method, and reporton the quality of the resulting content.

AB - Existing methods for collecting texts from endangered languages are not creating the quantity of data that is needed for corpus studies and natural language processing tasks. This is because the process of transcribing and translating from audio recordings is too onerous. A more effective method, we argue, is to involve local speakers in the field location, using an audio-only translation interface that isportable and easy to use. We present encouraging early results of an experimental investigation of the efficiency of creating translations using this method, and reporton the quality of the resulting content.

M3 - Conference Paper published in Proceedings

SP - 1134

EP - 1138

BT - Proceedings of the 6th International Joint Conference on Natural Language Processing

PB - Asian Federation of Natural Language Processing

T2 - International Joint Conference on Natural Language Processing

Y2 - 14 October 2013 through 18 October 2013

ER -

Large-scale text collection for unwritten languages

Abstract

Conference

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Cite this