2021
Semi-automatic building of large-scale digital dictionaries
BLAHUŠ, Marek; Michal CUKR; Ondřej HERMAN; Miloš JAKUBÍČEK; Vojtěch KOVÁŘ et. al.Basic information
Original name
Semi-automatic building of large-scale digital dictionaries
Authors
BLAHUŠ, Marek (203 Czech Republic); Michal CUKR (203 Czech Republic); Ondřej HERMAN (203 Czech Republic, belonging to the institution); Miloš JAKUBÍČEK (203 Czech Republic, belonging to the institution); Vojtěch KOVÁŘ ORCID (203 Czech Republic, guarantor, belonging to the institution) and Marek MEDVEĎ (703 Slovakia, belonging to the institution)
Edition
Brno, Electronic lexicography in the 21st century. Proceedings of the eLex 2021 conference, p. 396-407, 12 pp. 2021
Publisher
Lexical Computing CZ s.r.o.
Other information
Language
English
Type of outcome
Proceedings paper
Field of Study
10201 Computer sciences, information science, bioinformatics
Country of publisher
Czech Republic
Confidentiality degree
is not subject to a state or trade secret
Publication form
electronic version available online
References:
RIV identification code
RIV/00216224:14330/21:00136004
Organization unit
Faculty of Informatics
ISSN
EID Scopus
2-s2.0-85137098115
Keywords in English
post-editing lexicography; dictionary drafting; Sketch Engine
Tags
Changed: 6/3/2025 14:18, RNDr. Vojtěch Kovář, Ph.D.
Abstract
In the original language
This paper presents a novel way of creating dictionaries by using a particular post-editing workflow, all of which is carried out in the context of building a set of three bilingual dictionaries - Tagalog, Urdu and Lao dictionaries with translations into English and Korean. The dictionaries were created completely from scratch without reusing any existing content and in a completely automatic manner, amounting to 50, 000 headwords, out of which 15, 000 headwords were subject to subsequent manual post-editing. In the paper we discuss the post-editing methodology that we used and its impact on the overall lexicographic workflow. We describe the web corpora that were built specifically for the purpose of building these three dictionaries as well as their annotations (such as PoS tagging and lemmatisation) and tools that were used for the corpus annotation and for automating individual entry parts and the post-editing thereof. Most of the automatic drafting and post-editing relied on a backbone consisting of the Sketch Engine corpus management system and Lexonomy dictionary editor We also detail the overall amount of work involved in each post-editing step, the technical and managerial difficulties faced alongside in the project, and the major technological issues that still need improvement in the post-editing scenario.
Links
LM2018101, research and development project |
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