Join Together? Combining Data to Parse Italian Texts
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F25%3AVYPQFDHR" target="_blank" >RIV/00216208:11320/25:VYPQFDHR - isvavai.cz</a>
Result on the web
<a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85214361018&partnerID=40&md5=ff69808ae518473581b40113225f1f46" target="_blank" >https://www.scopus.com/inward/record.uri?eid=2-s2.0-85214361018&partnerID=40&md5=ff69808ae518473581b40113225f1f46</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Join Together? Combining Data to Parse Italian Texts
Original language description
In this paper, we create and evaluate non-combined and combined models using Old and Contemporary Italian data to determine whether increasing the size of the training data with a combined model could improve parsing accuracy to facilitate manual annotation. We find that, despite the increased size of the training data, in-domain parsing performs better. Additionally, we discover that models trained on Old Italian data perform better on Contemporary Italian data than the reverse. We attempt to explain this result in terms of syntactic complexity, finding that Old Italian text exhibits higher sentence length and non-projectivity rate. © 2024 CEUR-WS. All rights reserved.
Czech name
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Czech description
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Classification
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)
Result continuities
Project
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Continuities
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Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
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
7
Pages from-to
1-7
Publisher name
CEUR-WS
Place of publication
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Event location
Pisa
Event date
Jan 1, 2025
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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