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2018 | OriginalPaper | Chapter

Tracing Language Variation for Romanian

Authors : Daniela Gîfu, Radu Simionescu

Published in: Computational Linguistics and Intelligent Text Processing

Publisher: Springer International Publishing

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Abstract

This paper illustrates a pilot study on two collections of publications, written at the middle of the 19th century in two countries, Romania and Republic of Moldavia. The corpus includes articles from the most important Romanian and Bessarabian publications, categorized in three periods: 1840–1917, 1918–1940, and 1941–1991. The research conducted on these resources focuses on the lexical evolution of words. We use a machine learning approach to explore the patterns that govern the lexical differences between two lexicons. The model is used for automatically correlating different forms of a word. The approach is suitable for bootstrapping, in order to increase the quantity and quality of the training data. The presented approach is language independent. By using the contemporary language as a pivot, the data is analyzed and compared from various perspectives.

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previous chapter Deeper Summarisation: The Second Time Around
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Footnotes
1
Here are some corpus resources that involve diverse languages: ELDA (Evaluations and Language Resource Distribution Agency), TRACTOR (TELTRI Research Archive of Computational Tools and Resources), OTA (Oxford Text Archive), LDC (Linguistic Data Consortium), COROLA (COrpus of ROmanian Language).
 
2
The word was extracted from Foaia pentru minte, anima si literature, 1854.
 
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Metadata
Title
Tracing Language Variation for Romanian
Authors
Daniela Gîfu
Radu Simionescu
Copyright Year
2018
Book
Computational Linguistics and Intelligent Text Processing

Print ISBN: 978-3-319-75486-4

Electronic ISBN: 978-3-319-75487-1

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-75487-1_45

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