@inproceedings{draxler-etal-2020-clarin,
title = "A {CLARIN} Transcription Portal for Interview Data",
author = "Draxler, Christoph and
van den Heuvel, Henk and
van Hessen, Arjan and
Calamai, Silvia and
Corti, Louise",
editor = "Calzolari, Nicoletta and
B{\'e}chet, Fr{\'e}d{\'e}ric and
Blache, Philippe and
Choukri, Khalid and
Cieri, Christopher and
Declerck, Thierry and
Goggi, Sara and
Isahara, Hitoshi and
Maegaard, Bente and
Mariani, Joseph and
Mazo, H{\'e}l{\`e}ne and
Moreno, Asuncion and
Odijk, Jan and
Piperidis, Stelios",
booktitle = "Proceedings of the Twelfth Language Resources and Evaluation Conference",
month = may,
year = "2020",
address = "Marseille, France",
publisher = "European Language Resources Association",
url = "https://aclanthology.org/2020.lrec-1.411/",
pages = "3353--3359",
language = "eng",
ISBN = "979-10-95546-34-4",
abstract = "In this paper we present a first version of a transcription portal for audio files based on automatic speech recognition (ASR) in various languages. The portal is implemented in the CLARIN resources research network and intended for use by non-technical scholars. We explain the background and interdisciplinary nature of interview data, the perks and quirks of using ASR for transcribing the audio in a research context, the dos and don`ts for optimal use of the portal, and future developments foreseen. The portal is promoted in a range of workshops, but there are a number of challenges that have to be met. These challenges concern privacy issues, ASR quality, and cost, amongst others."
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%0 Conference Proceedings
%T A CLARIN Transcription Portal for Interview Data
%A Draxler, Christoph
%A van den Heuvel, Henk
%A van Hessen, Arjan
%A Calamai, Silvia
%A Corti, Louise
%Y Calzolari, Nicoletta
%Y Béchet, Frédéric
%Y Blache, Philippe
%Y Choukri, Khalid
%Y Cieri, Christopher
%Y Declerck, Thierry
%Y Goggi, Sara
%Y Isahara, Hitoshi
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Mazo, Hélène
%Y Moreno, Asuncion
%Y Odijk, Jan
%Y Piperidis, Stelios
%S Proceedings of the Twelfth Language Resources and Evaluation Conference
%D 2020
%8 May
%I European Language Resources Association
%C Marseille, France
%@ 979-10-95546-34-4
%G eng
%F draxler-etal-2020-clarin
%X In this paper we present a first version of a transcription portal for audio files based on automatic speech recognition (ASR) in various languages. The portal is implemented in the CLARIN resources research network and intended for use by non-technical scholars. We explain the background and interdisciplinary nature of interview data, the perks and quirks of using ASR for transcribing the audio in a research context, the dos and don‘ts for optimal use of the portal, and future developments foreseen. The portal is promoted in a range of workshops, but there are a number of challenges that have to be met. These challenges concern privacy issues, ASR quality, and cost, amongst others.
%U https://aclanthology.org/2020.lrec-1.411/
%P 3353-3359
Markdown (Informal)
[A CLARIN Transcription Portal for Interview Data](https://aclanthology.org/2020.lrec-1.411/) (Draxler et al., LREC 2020)
ACL
- Christoph Draxler, Henk van den Heuvel, Arjan van Hessen, Silvia Calamai, and Louise Corti. 2020. A CLARIN Transcription Portal for Interview Data. In Proceedings of the Twelfth Language Resources and Evaluation Conference, pages 3353–3359, Marseille, France. European Language Resources Association.