PaReNT (Parent Retrieval Neural Tool): A Deep Dive into Word Formation Across Languages

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F24%3A10492910" target="_blank" >RIV/00216208:11320/24:10492910 - isvavai.cz</a>
Alternative codes found
RIV/00216208:11320/25:USVFSD3H
Result on the web
<a href="https://aclanthology.org/2024.lrec-main.1104.pdf" target="_blank" >https://aclanthology.org/2024.lrec-main.1104.pdf</a>
DOI - Digital Object Identifier
—

Result language
angličtina
Original language name
PaReNT (Parent Retrieval Neural Tool): A Deep Dive into Word Formation Across Languages
Original language description
We present PaReNT (Parent Retrieval Neural Tool), a deep-learning-based multilingual tool performing parent retrieval and word formation classification in English, German, Dutch, Spanish, French, Russian, and Czech. Parent retrieval refers to determining the lexeme or lexemes the input lexeme was based on (e.g. 'darkness' is traced back to 'dark'; 'waterfall' decomposes into 'water' and 'fall'). Additionally, PaReNT performs word formation classification, which determines the input lexeme as a compound (e.g. 'proofread'), a derivative (e.g. 'deescalate') or as an unmotivated word (e.g. 'dog'). These seven languages are selected from three major branches of the Indo-European language family (Germanic, Romance, Slavic). Data is aggregated from a range of word-formation resources, as well as Wiktionary, to train and test the tool. The tool is based on a custom-architecture hybrid transformer block-enriched sequence-to-sequence neural network utilizing both a character-based and semantic representation of
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/LM2023062" target="_blank" >LM2023062: Digital Research Infrastructure for Language Technologies, Arts and Humanities</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
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
ISBN
978-2-493-81410-4
ISSN
2522-2686
e-ISSN
—
Number of pages
11
Pages from-to
12611-12621
Publisher name
European Language Resources Association
Place of publication
Torino, Italy
Event location
Torino, Italy
Event date
May 22, 2024
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—

Similar results(10)