Nicht aus der Schweiz? Besuchen Sie lehmanns.de
Derivational Networks Across Languages -

Derivational Networks Across Languages

Buch | Softcover
XI, 622 Seiten
2022
de Gruyter Mouton (Verlag)
978-3-11-077814-4 (ISBN)
CHF 62,90 inkl. MwSt
This pioneering research brings a new insight into derivational processes in terms of theory, method and typology. Theoretically, it conceives of derivation as a three-dimensional system. Methodologically, it introduces a range of parameters for the evaluation of derivational networks, including the derivational role, combinability and blocking effects of semantic categories, the maximum derivational potential and its actualization in relation to simple underived words, and the maximum and average number of orders of derivation. Each language-specific chapter has a unified structure, which made it possible to identify – in the final, typologically oriented chapter – the systematicity and regularity in developing derivational networks in a sample of forty European languages and in a few language genera and families. This is supported by considerations about the role of word-classes, morphological types, and the differences and similarities between word-formation processes of the languages belonging to the same genus/family.

Lívia Körtvélyessy & Pavol Stekauer, Kosice, Slovenia.; Alexandra Bagasheva, Sofia, Bulgaria.

Erscheinungsdatum
Reihe/Serie Trends in Linguistics. Studies and Monographs [TiLSM] ; 340
Zusatzinfo 10 b/w and 10 col. ill., 362 b/w tbl.
Verlagsort Basel/Berlin/Boston
Sprache englisch
Maße 155 x 230 mm
Gewicht 1064 g
Themenwelt Geisteswissenschaften Sprach- / Literaturwissenschaft Sprachwissenschaft
Schlagworte Derivational Network • Semantic categories • Typology
ISBN-10 3-11-077814-9 / 3110778149
ISBN-13 978-3-11-077814-4 / 9783110778144
Zustand Neuware
Informationen gemäß Produktsicherheitsverordnung (GPSR)
Haben Sie eine Frage zum Produkt?
Mehr entdecken
aus dem Bereich
Wort für Wort

von Roland Hoffmann

Buch | Softcover (2024)
Reise Know-How (Verlag)
CHF 16,80