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

Result code in 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>

Result on the web

<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>

Result language

angličtina

Original language name

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

Original language description

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

Czech name

—

Czech description

—

Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

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

Project

<a href="/en/project/EH23_020%2F0008518" target="_blank" >EH23_020/0008518: Linguistics, Artificial Intelligence and Language and Speech Technologies: from Research to Applications</a><br>

Continuities

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

Publication year

2025

Confidentiality

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

Article name in the collection

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

—

Number of pages

18

Pages from-to

16339-16356

Publisher name

Association for Computational Linguistics

Place of publication

Kerrville, TX, USA

Event location

Wien, Austria

Event date

Jul 27, 2025

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

—