Detailed Information on Publication Record
2022
Piötòst Ché Niènt, Mèi Piötòst - A Manually Revised Lombard-Italian Parallel Corpus
SIGNORONI, EdoardoBasic information
Original name
Piötòst Ché Niènt, Mèi Piötòst - A Manually Revised Lombard-Italian Parallel Corpus
Authors
SIGNORONI, Edoardo (380 Italy, guarantor, belonging to the institution)
Edition
Brno, Proceedings of the Sixteenth Workshop on Recent Advances in Slavonic Natural Languages Processing, RASLAN 2022, p. 105-112, 8 pp. 2022
Publisher
Tribun EU
Other information
Language
English
Type of outcome
Stať ve sborníku
Field of Study
10200 1.2 Computer and information sciences
Country of publisher
Czech Republic
Confidentiality degree
není předmětem státního či obchodního tajemství
Publication form
printed version "print"
References:
RIV identification code
RIV/00216224:14330/22:00127480
Organization unit
Faculty of Informatics
ISBN
978-80-263-1752-4
ISSN
Keywords in English
Parallel corpora; Low-resource MT; Lombard
Změněno: 15/5/2024 09:53, RNDr. Pavel Šmerk, Ph.D.
Abstract
V originále
The Lombard language is a Gallo-Italic language spoken in the Northern Italian region of Lombardy and some surrounding areas by 3.5 million native speakers in varied spectrum of bilingual settings and fluency. However, it is currently listed as ”definitely endangered” according to UNESCO. Despite some resurging interest in documenting, revitalizing, and using the language, no Natural Language Processing resource was specifically build for Lombard. The only existing LombardItalian parallel corpus was created as part of a bigger multilingual project by scraping aligned text from Wikipedia articles. However, we found the resulting corpus to be faulty, due to noise and erroneous alignments. Our work addresses these issues by providing a cleaner, human-revised version of this resource, which could be used as a stepping stone to build future NLP tools, such as a Machine Translation system.
Links
EF19_073/0016943, research and development project |
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MUNI/IGA/1334/2021, interní kód MU |
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