Abstract
Most of the world's languages are under-resourced, and most under-resourced languages lack a writing system and literary tradition. As these languages fall out of use, we lose important sources of data that contribute to our understanding of human language. The first, urgent step is to collect and orally translate a large quantity of spoken language. This can be digitally archived and later transcribed, annotated, and subjected to the full range of speech and language processing tasks, at any time in future. We have been investigating a mobile application for recording and translating unwritten languages. We visited Indigenous communities in Brazil and Nepal and taught people to use smartphones for recording spoken language and for orally interpreting it into the national language, and collected bilingual phrase-aligned speech recordings. In spite of several technical and social issues, we found that the technology enabled an effective workflow for speech data collection. Based on this experience, we argue that the use of special-purpose software on smartphones is an effective and scalable method for large-scale collection of bilingual audio, and ultimately bilingual text, for languages spoken in remote Indigenous communities.
Original language | English |
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Title of host publication | COLING 2014 - 25th International Conference on Computational Linguistics, Proceedings of COLING 2014 |
Subtitle of host publication | Technical Papers |
Place of Publication | Dublin, Ireland |
Publisher | Association for Computational Linguistics, ACL Anthology |
Pages | 1015-1024 |
Number of pages | 10 |
ISBN (Electronic) | 9781941643266 |
Publication status | Published - 1 Jan 2014 |
Externally published | Yes |
Event | 25th International Conference on Computational Linguistics, COLING 2014 - Dublin, Ireland Duration: 23 Aug 2014 → 29 Aug 2014 |
Conference
Conference | 25th International Conference on Computational Linguistics, COLING 2014 |
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Country/Territory | Ireland |
City | Dublin |
Period | 23/08/14 → 29/08/14 |