Abstract
This paper represents the procedure of creating a legal domain corpus in NooJ. It illustrates a primary analysis of the corpus including automatic text processing, emphasizing its main linguistic peculiarities, and analyzing prosodic characteristics of legal texts which is necessary for syntagmatic delimitation. It also depicts the compilation composition of three dictionaries in NooJ format: general, legal, and Belarusian-English-Russian dictionaries.
Y. Hetsevich—The authors would like to thank Zmicier Dzenisiuk for his help during the preparation of the article.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
Change history
26 July 2023
A correction has been published.
References
Computational platform for electronic text & speech processing. http://www.corpus.by. Accessed 01 Sep 2021
Byulaw. Law & Corpus Linguistics. https://lawcorpus.byu.edu. Accessed 01 Sep 2021
Monolingual Polish corpus in the law domain. https://elrc-share.eu/repository/browse/monolingual-polish-corpus-in-the-law-domain. Accessed 01 Sep 2021
British Law Report Corpus. http://flax.nzdl.org/greenstone3/flax?a=fp&sa=collAbout&c=BlaRC&if=. Accessed 01 Sep 2021
Hetsevich, Y., Varanovich, V., Kachan, E., Lysy, S., Reentovich, I.: Semi-automatic part-of-speech annotating for belarusian dictionaries enrichment in NooJ. In: Barone, L., Monteleone, M., Silberztein, M. (eds.): Automatic Processing of Natural-Language Electronic Texts with NooJ: 10th International Conference, NooJ 2016, České Budějovice, June 9–11, 2016, Revised selected papers, pp. 101–111. Springer International Publishing (2016). https://doi.org/10.1007/978-3-319-55002-2_9
Hetsevich, Y., Kirdun, A.A.: Vykarystannie sistem mashynnaga pierakladu i sintezu mawliennia dlia zabiespiachennia dastupnastsi zakanadawchykh tekstaw na roznykh movakh u Respublitsy Bielarus. = Гeцэвiч, Ю.C., Кipдyн, A.A.: Bыкapыcтaннe cicтэм мaшыннaгa пepaклaдy i ciнтэзy мaўлeння для зaбecпячэння дacтyпнacцi зaкaнaдaўчыx тэкcтaў нa poзныx мoвax y Pэcпyблiцы Бeлapycь. In: Кoвaлeнкo, E. И. (peд.). Инфopмaциoнныe тexнoлoгии и пpaвo (Пpaвoвaя инфopмaтизaция – 2018): мaтepиaлы VI Meждyнap. нayч.-пpaкт. кoнф., Mинcк, 17 мaя 2018 г., c. 123–128. Mинcк (2018)
NooJ: A Linguistic Development Environment. http://www.nooj4nlp.org/. Accessed 01 Sep 2021
Udaskanaliennie pratsy awtamatyzavanykh sistem pa tekstakh jurydychnaj tematyki = Удacкaнaлeннe пpaцы aўтaмaтызaвaныx cicтэм пa тэкcтax юpыдычнaй тэмaтыкi. https://ssrlab.by/7804. Accessed 01 Sep 2021
Reentovich, I., et al.: The First One-Million Corpus for the Belarusian NooJ Module. In: Okrut, T., Hetsevich, Y., Silberztein, M., Stanislavenka, H. (eds.): Automatic Processing of Natural-Language Electronic Texts with NooJ. In: 9th International Conference, NooJ 2015, Minsk, Belarus, June 11–13, 2015, Revised selected papers, pp. 3–15. Springer International Publishing (2016). https://doi.org/10.1007/978-3-319-55002-2
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 Springer Nature Switzerland AG
About this paper
Cite this paper
Varanovich, V., Suprunchuk, M., Zianouka, Y., Prakapenka, T., Dolgova, A., Hetsevich, Y. (2022). Creation of a Legal Domain Corpus for the Belarusian Module in NooJ: Texts, Dictionaries, Grammars. In: González, M., Reyes, S.S., Rodrigo, A., Silberztein, M. (eds) Formalizing Natural Languages: Applications to Natural Language Processing and Digital Humanities. NooJ 2022. Communications in Computer and Information Science, vol 1758. Springer, Cham. https://doi.org/10.1007/978-3-031-23317-3_13
Download citation
DOI: https://doi.org/10.1007/978-3-031-23317-3_13
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-23316-6
Online ISBN: 978-3-031-23317-3
eBook Packages: Computer ScienceComputer Science (R0)