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        <title>Spoken Term Discovery for Language Documentation using Translations</title>
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        <namePart type="given">Antonios</namePart>
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            <title>Proceedings of the Workshop on Speech-Centric Natural Language Processing</title>
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    <abstract>Vast amounts of speech data collected for language documentation and research remain untranscribed and unsearchable, but often a small amount of speech may have text translations available. We present a method for partially labeling additional speech with translations in this scenario. We modify an unsupervised speech-to-translation alignment model and obtain prototype speech segments that match the translation words, which are in turn used to discover terms in the unlabelled data. We evaluate our method on a Spanish-English speech translation corpus and on two corpora of endangered languages, Arapaho and Ainu, demonstrating its appropriateness and applicability in an actual very-low-resource scenario.</abstract>
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%0 Conference Proceedings
%T Spoken Term Discovery for Language Documentation using Translations
%A Anastasopoulos, Antonios
%A Bansal, Sameer
%A Chiang, David
%A Goldwater, Sharon
%A Lopez, Adam
%Y Ruiz, Nicholas
%Y Bangalore, Srinivas
%S Proceedings of the Workshop on Speech-Centric Natural Language Processing
%D 2017
%8 September
%I Association for Computational Linguistics
%C Copenhagen, Denmark
%F anastasopoulos-etal-2017-spoken
%X Vast amounts of speech data collected for language documentation and research remain untranscribed and unsearchable, but often a small amount of speech may have text translations available. We present a method for partially labeling additional speech with translations in this scenario. We modify an unsupervised speech-to-translation alignment model and obtain prototype speech segments that match the translation words, which are in turn used to discover terms in the unlabelled data. We evaluate our method on a Spanish-English speech translation corpus and on two corpora of endangered languages, Arapaho and Ainu, demonstrating its appropriateness and applicability in an actual very-low-resource scenario.
%R 10.18653/v1/W17-4607
%U https://aclanthology.org/W17-4607
%U https://doi.org/10.18653/v1/W17-4607
%P 53-58

Markdown (Informal)

[Spoken Term Discovery for Language Documentation using Translations](https://aclanthology.org/W17-4607) (Anastasopoulos et al., 2017)

• Spoken Term Discovery for Language Documentation using Translations (Anastasopoulos et al., 2017)

ACL

• Antonios Anastasopoulos, Sameer Bansal, David Chiang, Sharon Goldwater, and Adam Lopez. 2017. Spoken Term Discovery for Language Documentation using Translations. In Proceedings of the Workshop on Speech-Centric Natural Language Processing, pages 53–58, Copenhagen, Denmark. Association for Computational Linguistics.