Corpus of Cross-Lingual Dialogues with Minutes and Detection of Misunderstandings

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F25%3A10511673" target="_blank" >RIV/00216208:11320/25:10511673 - isvavai.cz</a>

Výsledek na webu

<a href="https://link.springer.com/chapter/10.1007/978-3-032-02551-7_26" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-032-02551-7_26</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Corpus of Cross-Lingual Dialogues with Minutes and Detection of Misunderstandings

Popis výsledku v původním jazyce

Speech processing and translation technology have the po- tential to facilitate meetings of individuals who do not share any common language. To evaluate automatic systems for such a task, a versatile and realistic evaluation corpus is needed. Therefore, we create and present a corpus of cross-lingual dialogues between individuals without a common language who were facilitated by automatic simultaneous speech transla- tion. The corpus consists of 5 hours of speech recordings with ASR and gold transcripts in 12 original languages and automatic and corrected translations into English. For the purposes of research into cross-lingual summarization, our corpus also includes written summaries (minutes) of the meetings. Moreover, we propose automatic detection of misunderstandings. For an overview of this task and its complexity, we attempt to quantify misun- derstandings in cross-lingual meetings. We annotate misunderstandings manually and also test the ability of current large language models to detect the

Název v anglickém jazyce

Corpus of Cross-Lingual Dialogues with Minutes and Detection of Misunderstandings

Popis výsledku anglicky

Speech processing and translation technology have the po- tential to facilitate meetings of individuals who do not share any common language. To evaluate automatic systems for such a task, a versatile and realistic evaluation corpus is needed. Therefore, we create and present a corpus of cross-lingual dialogues between individuals without a common language who were facilitated by automatic simultaneous speech transla- tion. The corpus consists of 5 hours of speech recordings with ASR and gold transcripts in 12 original languages and automatic and corrected translations into English. For the purposes of research into cross-lingual summarization, our corpus also includes written summaries (minutes) of the meetings. Moreover, we propose automatic detection of misunderstandings. For an overview of this task and its complexity, we attempt to quantify misun- derstandings in cross-lingual meetings. We annotate misunderstandings manually and also test the ability of current large language models to detect the

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

<a href="/cs/project/EH23_020%2F0008518" target="_blank" >EH23_020/0008518: Jazykověda, umělá inteligence a jazykové a řečové technologie: od výzkumu k aplikacím</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2025

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

28th International Conference on Text, Speech and Dialogue (Part II)

ISBN

978-3-032-02551-7

ISSN

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e-ISSN

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Počet stran výsledku

12

Strana od-do

301-312

Název nakladatele

Springer

Místo vydání

Cham, Switzerland

Místo konání akce

Erlangen, Germany

Datum konání akce

25. 8. 2025

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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