MockConf: A Student Interpretation Dataset: Analysis, Word- and Span-level Alignment and Baselines

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F25%3A10511590" target="_blank" >RIV/00216208:11320/25:10511590 - isvavai.cz</a>

Výsledek na webu

<a href="https://aclanthology.org/2025.acl-long.797/" target="_blank" >https://aclanthology.org/2025.acl-long.797/</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.18653/v1/2025.acl-long.797" target="_blank" >10.18653/v1/2025.acl-long.797</a>

Jazyk výsledku

angličtina

Název v původním jazyce

MockConf: A Student Interpretation Dataset: Analysis, Word- and Span-level Alignment and Baselines

Popis výsledku v původním jazyce

In simultaneous interpreting, an interpreter renders the speech into another language with a very short lag, much sooner than sentences are finished. In order to understand and later reproduce this dynamic and complex task automatically, we need specialized datasets and tools for analysis, monitoring, and evaluation, such as parallel speech corpora, and tools for their automatic annotation. Existing parallel corpora of translated texts and associated alignment algorithms hardly fill this gap, as they fail to model long-range interactions between speech segments or specific types of divergences (e.g. shortening, simplification, functional generalization) between the original and interpreted speeches. In this work, we develop and explore MockConf, a student interpretation dataset that was collected from Mock Conferences run as part of the students’ curriculum. This dataset contains 7 hours of recordings in 5 European languages, transcribed and aligned at the level of spans and words. We further implemen

Název v anglickém jazyce

MockConf: A Student Interpretation Dataset: Analysis, Word- and Span-level Alignment and Baselines

Popis výsledku anglicky

In simultaneous interpreting, an interpreter renders the speech into another language with a very short lag, much sooner than sentences are finished. In order to understand and later reproduce this dynamic and complex task automatically, we need specialized datasets and tools for analysis, monitoring, and evaluation, such as parallel speech corpora, and tools for their automatic annotation. Existing parallel corpora of translated texts and associated alignment algorithms hardly fill this gap, as they fail to model long-range interactions between speech segments or specific types of divergences (e.g. shortening, simplification, functional generalization) between the original and interpreted speeches. In this work, we develop and explore MockConf, a student interpretation dataset that was collected from Mock Conferences run as part of the students’ curriculum. This dataset contains 7 hours of recordings in 5 European languages, transcribed and aligned at the level of spans and words. We further implemen

Druh

D - Stať ve sborníku

CEP obor

—

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>S - Specificky vyzkum na vysokych skolach<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

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

ISBN

979-8-89176-251-0

ISSN

—

e-ISSN

—

Počet stran výsledku

18

Strana od-do

16339-16356

Název nakladatele

Association for Computational Linguistics

Místo vydání

Kerrville, TX, USA

Místo konání akce

Wien, Austria

Datum konání akce

27. 7. 2025

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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