Converting raw transcripts into an annotated and turn-aligned TEI-XML corpus: the example of the Corpus of Serbian Forms of Address

This paper describes the procedure of building a TEI-XML corpus of spoken Serbian starting from raw transcripts. The corpus consists of semi–structured interviews, which were gathered with the aim of investigating forms of address in Serbian. The interviews were thoroughly transcribed according to G...

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Main Author: Dolores Lemmenmeier-Batinić
Format: Article
Language:English
Published: Znanstvena založba Filozofske fakultete Univerze v Ljubljani (Ljubljana University Press, Faculty of Arts) 2021-07-01
Series:Slovenščina 2.0: Empirične, aplikativne in interdisciplinarne raziskave
Subjects:
Online Access:https://revije.ff.uni-lj.si/slovenscina2/article/view/9869
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spelling doaj-ee18050703254b04bf31ebfa88e6179a2021-07-01T13:01:24ZengZnanstvena založba Filozofske fakultete Univerze v Ljubljani (Ljubljana University Press, Faculty of Arts)Slovenščina 2.0: Empirične, aplikativne in interdisciplinarne raziskave2335-27362021-07-0191Converting raw transcripts into an annotated and turn-aligned TEI-XML corpus: the example of the Corpus of Serbian Forms of AddressDolores Lemmenmeier-Batinić0University of Zurich, Department of Slavonic Languages and Literatures, SwitzerlandThis paper describes the procedure of building a TEI-XML corpus of spoken Serbian starting from raw transcripts. The corpus consists of semi–structured interviews, which were gathered with the aim of investigating forms of address in Serbian. The interviews were thoroughly transcribed according to GAT transcribing conventions. However, the transcription was carried out without tools that would control the validity of the GAT syntax, or align the transcript with the audio records. In order to offer this resource to a broader audience, we resolved the inconsistencies in the original transcripts, normalised the semi-orthographic transcriptions and converted the corpus into a TEI-format for transcriptions of speech. Further, we enriched the corpus by tagging and lemmatising the data. Lastly, we aligned the corpus turns to the corresponding audio segments by using a force-alignment tool. In addition to presenting the main steps involved in converting the corpus to the XML-format, this paper also discusses current challenges in the processing of spoken data, and the implications of data re-use regarding transcriptions of speech. This corpus can be used for studying Serbian from the perspective of interactional linguistics, for investigating morphosyntax, grammar, lexicon and phonetics of spoken Serbian, for studying disfluencies, as well as for testing models for automatic speech recognition and forced alignment. The corpus is freely available for research purposes. https://revije.ff.uni-lj.si/slovenscina2/article/view/9869spoken Serbianlanguage biographical interviewsforms of addressdata re-usability
collection DOAJ
language English
format Article
sources DOAJ
author Dolores Lemmenmeier-Batinić
spellingShingle Dolores Lemmenmeier-Batinić
Converting raw transcripts into an annotated and turn-aligned TEI-XML corpus: the example of the Corpus of Serbian Forms of Address
Slovenščina 2.0: Empirične, aplikativne in interdisciplinarne raziskave
spoken Serbian
language biographical interviews
forms of address
data re-usability
author_facet Dolores Lemmenmeier-Batinić
author_sort Dolores Lemmenmeier-Batinić
title Converting raw transcripts into an annotated and turn-aligned TEI-XML corpus: the example of the Corpus of Serbian Forms of Address
title_short Converting raw transcripts into an annotated and turn-aligned TEI-XML corpus: the example of the Corpus of Serbian Forms of Address
title_full Converting raw transcripts into an annotated and turn-aligned TEI-XML corpus: the example of the Corpus of Serbian Forms of Address
title_fullStr Converting raw transcripts into an annotated and turn-aligned TEI-XML corpus: the example of the Corpus of Serbian Forms of Address
title_full_unstemmed Converting raw transcripts into an annotated and turn-aligned TEI-XML corpus: the example of the Corpus of Serbian Forms of Address
title_sort converting raw transcripts into an annotated and turn-aligned tei-xml corpus: the example of the corpus of serbian forms of address
publisher Znanstvena založba Filozofske fakultete Univerze v Ljubljani (Ljubljana University Press, Faculty of Arts)
series Slovenščina 2.0: Empirične, aplikativne in interdisciplinarne raziskave
issn 2335-2736
publishDate 2021-07-01
description This paper describes the procedure of building a TEI-XML corpus of spoken Serbian starting from raw transcripts. The corpus consists of semi–structured interviews, which were gathered with the aim of investigating forms of address in Serbian. The interviews were thoroughly transcribed according to GAT transcribing conventions. However, the transcription was carried out without tools that would control the validity of the GAT syntax, or align the transcript with the audio records. In order to offer this resource to a broader audience, we resolved the inconsistencies in the original transcripts, normalised the semi-orthographic transcriptions and converted the corpus into a TEI-format for transcriptions of speech. Further, we enriched the corpus by tagging and lemmatising the data. Lastly, we aligned the corpus turns to the corresponding audio segments by using a force-alignment tool. In addition to presenting the main steps involved in converting the corpus to the XML-format, this paper also discusses current challenges in the processing of spoken data, and the implications of data re-use regarding transcriptions of speech. This corpus can be used for studying Serbian from the perspective of interactional linguistics, for investigating morphosyntax, grammar, lexicon and phonetics of spoken Serbian, for studying disfluencies, as well as for testing models for automatic speech recognition and forced alignment. The corpus is freely available for research purposes.
topic spoken Serbian
language biographical interviews
forms of address
data re-usability
url https://revije.ff.uni-lj.si/slovenscina2/article/view/9869
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