A Crosslingual Approach to Dependency Parsing for Middle High German
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F25%3A3JQSCQKF" target="_blank" >RIV/00216208:11320/25:3JQSCQKF - isvavai.cz</a>
Result on the web
<a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85216754532&partnerID=40&md5=bc144ac916cb517c9128285b894c44f9" target="_blank" >https://www.scopus.com/inward/record.uri?eid=2-s2.0-85216754532&partnerID=40&md5=bc144ac916cb517c9128285b894c44f9</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
A Crosslingual Approach to Dependency Parsing for Middle High German
Original language description
This work presents the development and evaluation of a dependency parser for Middle High German Universal Dependencies utilising modern German as a support language for low-resource MHG. A neural dependency parser is trained with Stanza achieving UAS = 92.95 and LAS = 88.06. To ensure the parser’s utility in facilitating and speeding up manual annotation to build a scaling UD treebank of MHG, a thorough error analysis shows the model’s structural reliability as well as frequently confused labels. Hence, this work constitutes an effort to counterbalance the under-representation of historical languages in dependency treebanks and attend to the need of historical treebanks in contemporary linguistic research by utilising the UD extensions and accordingly annotated corpora published by Dipper et al. (2024). ©2024 Association for Computational Linguistics.
Czech name
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Czech description
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Classification
Type
O - Miscellaneous
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