LatinPipe

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F24%3A10493029" target="_blank" >RIV/00216208:11320/24:10493029 - isvavai.cz</a>

Result on the web

<a href="https://github.com/ufal/evalatin2024-latinpipe" target="_blank" >https://github.com/ufal/evalatin2024-latinpipe</a>

DOI - Digital Object Identifier

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Result language

angličtina

Original language name

LatinPipe

Original language description

LatinPipe is the winning submission to the EvaLatin 2024 Dependency Parsing shared task. LatinPipe performs state-of-the-art language analysis for Latin. Our system consists of a fine-tuned concatenation of base and large pre-trained LMs, with a dot-product attention head for parsing and softmax classification heads for morphology to jointly learn both dependency parsing and morphological analysis. It is trained by sampling from seven publicly available Latin corpora, utilizing additional harmonization of annotations to achieve a more unified annotation style. Before fine-tuning, we train the system for a few initial epochs with frozen weights. We also add additional local relative contextualization by stacking the BiLSTM layers on top of the Transformer(s). The source code is available at https://github.com/ufal/evalatin2024-latinpipe. LatinPipe demo and REST API webservice are available at https://lindat.mff.cuni.cz/services/udpipe/. The fine-tuned model for Latin is available at http://hdl.handle.n

Czech name

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Czech description

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Type

R - Software

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

<a href="/en/project/GX20-16819X" target="_blank" >GX20-16819X: Language Understanding: from Syntax to Discourse</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2024

Confidentiality

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

Internal product ID

[https://github.com/ufal/evalati

Technical parameters

Výsledek volně dostupný na adrese https://github.com/ufal/evalatin2024-latinpipe.

Economical parameters

105390

Owner IČO

00216208

Owner name

Univerzita Karlova