A web of analogies: Depictive and reaction object constructions in modern english and french fiction
Autor(en): | Dyka, S. Novakova, I. Siepmann, D. |
Herausgeber: | Mitkov, R. | Stichwörter: | Artificial intelligence; Computer science; Computers, Complementation; Corpus-based; Depictive constructions; Descriptive verbs; English languages; Fictional key words; Key words; Linguistic complexity; Literary Styles; Literary texts, Semantics; Reaction object constructions | Erscheinungsdatum: | 2017 | Herausgeber: | Springer Verlag | Journal: | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Volumen: | 10596 LNAI | Startseite: | 87 | Seitenende: | 101 | Zusammenfassung: | This paper looks at the cross-linguistic complexity of two fiction-specific English-language constructions involving descriptive key words, viz. (a) depictive constructions and (b) reaction object constructions (ROCs). The English constructions in question were subjected to a detailed, corpus-based analysis in terms of their lexical realizations and complementation patterns. A comparison was then made (a) with French constructional equivalents in literary texts written by French authors and (b) with translations of literary texts from English into French and vice versa. The results show that, compared to English, French literary style has limited options for expressing descriptivity. However, whilst there is an almost total absence of full equivalents of depictives in French novels, the situation is more varied in the case of ROCs, with some types being fairly productive in French (e.g. hurler, murmurer) but others non-existent. © Springer International Publishing AG 2017. |
Beschreibung: | Conference of 2nd International Conference on Computational and Corpus-Based Phraseology, Europhras 2017 ; Conference Date: 13 November 2017 Through 14 November 2017; Conference Code:203779 |
ISBN: | 9783319698045 | ISSN: | 03029743 | DOI: | 10.1007/978-3-319-69805-2_7 | Externe URL: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85034222615&doi=10.1007%2f978-3-319-69805-2_7&partnerID=40&md5=4f403ab5f86138751ed9dbe4c8c794b8 |
Zur Langanzeige