From Tokens to Trees: Mapping Syntactic Structures in the Deserts of Data-Scarce Languages

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F25%3ADHBWQ4BH" target="_blank" >RIV/00216208:11320/25:DHBWQ4BH - isvavai.cz</a>

Result on the web

<a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85200147491&partnerID=40&md5=1e9caf4ce37c2a2bc79f0a43a5467d98" target="_blank" >https://www.scopus.com/inward/record.uri?eid=2-s2.0-85200147491&partnerID=40&md5=1e9caf4ce37c2a2bc79f0a43a5467d98</a>

DOI - Digital Object Identifier

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Result language

angličtina

Original language name

From Tokens to Trees: Mapping Syntactic Structures in the Deserts of Data-Scarce Languages

Original language description

Low-resource learning in natural language processing focuses on developing effective resources, tools, and technologies for languages that are less popular within the industry and academia. This effort is crucial for several reasons, including ensuring that as many languages as possible are represented digitally, and enhancing access to language technologies for native speakers of minority languages. In this context, this paper outlines the motivation, research lines, and results from a Leonardo Grant - by FBBVA - on low-resource languages and parsing as sequence labeling. The project’s primary aim was to devise fast and accurate methods for low-resource syntactic parsing and to examine evaluation strategies as well as strengths and weaknesses in comparison to alternative parsing strategies. © 2024 Copyright for this paper by its authors.

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

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Continuities

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Publication year

2024

Confidentiality

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

Article name in the collection

CEUR Workshop Proc.

ISBN

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ISSN

1613-0073

e-ISSN

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Number of pages

6

Pages from-to

30-35

Publisher name

CEUR-WS

Place of publication

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Event location

A Coruna

Event date

Jan 1, 2025

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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