Named Entity Discovery and Alignment in Parallel Data

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F26%3ACEXR56SK" target="_blank" >RIV/00216208:11320/26:CEXR56SK - isvavai.cz</a>

Alternative codes found

RIV/00216224:14330/25:00140701

Result on the web

<a href="https://www.scitepress.org/Papers/2025/133113/133113.pdf" target="_blank" >https://www.scitepress.org/Papers/2025/133113/133113.pdf</a>

DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Named Entity Discovery and Alignment in Parallel Data

Original language description

The paper describes two experiments with named entity discovery and alignment for English-Czech paral-lel data. In the previous work, we enriched the Parallel Global Voices corpus with named entity recognition (NER) for both languages and named entity linking (NEL) annotations for English. The alignment experiment employs sentence transformers and cosine similarity to identify NE translations from English to Czech and possibly other languages.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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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/LM2023062" target="_blank" >LM2023062: Digital Research Infrastructure for Language Technologies, Arts and Humanities</a><br>

Continuities

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Publication year

2026

Confidentiality

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

Article name in the collection

Proceedings of the 17th International Conference on Agents and Artificial Intelligence

ISBN

978-989-758-737-5

ISSN

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e-ISSN

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Number of pages

6

Pages from-to

1215-1220

Publisher name

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Place of publication

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Event location

Porto

Event date

Jan 1, 2026

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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