| Titel: |
A Corpus-assisted Approach to Paronym Categorisation |
| Personen: | Mell, Ruth M./Storjohann, Petra |
| Jahr: |
2017 |
| Typ: |
Aufsatz |
| Verlag: |
Lexical Computing CZ s.r.o. |
| Ortsangabe: |
Brno, Czech Republic |
| In: |
Kosem, Iztok/Tiberius, Carole/Jakubíček, Miloš/Kallas, Jelena/Krek, Simon/Baisa, Vít (Hgg.): Electronic lexicography in the 21st century. Lexicography from scratch. Proceedings of eLex 2017 conference, 19 - 21 September 2017, Leiden, the Netherlands |
| Seiten: |
342-354 |
| Untersuchte Sprachen: |
Deutsch*German |
| Schlagwörter: |
Internet-Lexikografie/Online-Lexikografie*internet lexicography/online lexicography
korpusbasierte Lexikografie*corpus-based lexicography
semantische Relationen im Wörterbuch*semantic/sense relations in dictionaries
|
| Medium: |
Online |
| URI: |
https://elex.link/elex2017/proceedings-download/ |
| Zuletzt besucht: |
22.10.2018 |
| Abstract: |
In this paper, we will present a first attempt to classify commonly confused words in German
by consulting their communicative functions in corpora. Although the use of so-called
paronyms causes frequent uncertainties due to similarities in spelling, sound and semantics, up
until now the phenomenon has attracted little attention either from the perspective of corpus
linguistics or from cognitive linguistics. Existing investigations rely on structuralist models,
which do not account for empirical evidence. Still, they have developed an elaborate model
based on formal criteria, primarily on word formation (cf. Lăzărescu 1999). Looking from a
corpus perspective, such classifications are incompatible with language in use and cognitive
elements of misuse.
This article sketches first lexicological insights into a classification model as derived from
semantic analyses of written communication. Firstly, a brief description of the project will be
provided. Secondly, corpus-assisted paronym detection will be focused. Thirdly, in the main
section the paper concerns the description of the datasets for paronym classification and the
classification procedures. As a work in progress, new insights will continually be extended once
spoken and CMC data are added to the investigations. |