Synthetic-Error Augmented Parsing of Swedish as a Second Language: Experiments with Word Order

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F25%3AQ45IXFCI" target="_blank" >RIV/00216208:11320/25:Q45IXFCI - isvavai.cz</a>

Result on the web

<a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195172772&partnerID=40&md5=a144a8a927993680fe5bd6490c7760cf" target="_blank" >https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195172772&partnerID=40&md5=a144a8a927993680fe5bd6490c7760cf</a>

DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Synthetic-Error Augmented Parsing of Swedish as a Second Language: Experiments with Word Order

Original language description

Ungrammatical text poses significant challenges for off-the-shelf dependency parsers. In this paper, we explore the effectiveness of using synthetic data to improve performance on essays written by learners of Swedish as a second language. Due to their relevance and ease of annotation, we restrict our initial experiments to word order errors. To do that, we build a corrupted version of the standard Swedish Universal Dependencies (UD) treebank Talbanken, mimicking the error patterns and frequency distributions observed in the Swedish Learner Language (SweLL) corpus. We then use the MaChAmp (Massive Choice, Ample tasks) toolkit to train an array of BERT-based dependency parsers, fine-tuning on different combinations of original and corrupted data. We evaluate the resulting models not only on their respective test sets but also, most importantly, on a smaller collection of sentence-correction pairs derived from SweLL. Results show small but significant performance improvements on the target domain, with minimal decline on normative data. © European Language Resources Association: CC BY-NC 4.0.

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

Jt. Workshop Multiword Expressions Univers. Depend., MWE-UD LREC-COLING - Workshop Proc.

ISBN

978-249381420-3

ISSN

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e-ISSN

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Number of pages

7

Pages from-to

43-49

Publisher name

European Language Resources Association (ELRA)

Place of publication

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Event location

Torino, Italia

Event date

Jan 1, 2025

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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