33.3618, Calls: Greek; Comp Ling, Gen Ling, Historical Ling, Text/Corpus Ling/United Kingdom
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Sun Nov 20 10:17:01 UTC 2022
LINGUIST List: Vol-33-3618. Sun Nov 20 2022. ISSN: 1069 - 4875.
Subject: 33.3618, Calls: Greek; Comp Ling, Gen Ling, Historical Ling, Text/Corpus Ling/United Kingdom
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Editor for this issue: Everett Green <everett at linguistlist.org>
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Date: Sun, 20 Nov 2022 10:16:14
From: Victoria Fendel [victoria.fendel at classics.ox.ac.uk]
Subject: Support-verb constructions in the corpora of Greek: between lexicon and grammar?
Full Title: Support-verb constructions in the corpora of Greek: between lexicon and grammar?
Date: 05-Sep-2023 - 06-Sep-2023
Location: Oxford, United Kingdom
Contact Person: Victoria Fendel
Meeting Email: victoria.fendel at classics.ox.ac.uk
Web Site: http://svcoxford2023.com/
Linguistic Field(s): Computational Linguistics; General Linguistics; Historical Linguistics; Text/Corpus Linguistics
Subject Language(s): English (eng)
Greek, Ancient (grc)
Greek, Cappadocian (cpg)
Greek, Modern (ell)
Greek, Mycenaean (gmy)
Call Deadline: 01-Feb-2023
Meeting Description:
Support-verb constructions have received increasing interest in academic and
industry contexts in recent years, yet our dictionaries and digital tools are
lagging. From the general linguistic perspective, they are of interest in the
context of complex predicates, from the computational perspective, in the
context of machine translation. For Greek, interest has focussed on the verb
ποιέομαι and/or literary classical texts. The workshop ‘Support-verb
constructions in the corpora of Greek: between lexicon and grammar?’ will (i)
highlight avenues for future research on support-verb constructions, (ii)
bring together specialists of diverse fields, and (iii) produce a handbook of
methodologies and robust data collections on support-verb constructions in the
corpora of Greek.
Call for Papers:
SVCs are pervasive throughout the history of Greek yet understudied to date,
primarily due to issues surrounding data collection. The Leverhulme-funded
project ‘Giving Gifts and Doing Favours: Unlocking Greek Support-Verb
Constructions’ (2020–2023) has focused on literary classical Attic prose,
oratory and historiography with a carefully-curated project corpus and
fine-tuned digital tools. The workshop aims to explore SVCs (i) in periods
other than the classical, e.g. archaic or post-classical, (ii) in non-literary
sources, incl. papyri and inscriptions, (iii) in educational resources, esp.
dictionaries, and (iv) in digital tools, incl. natural language processing.
Aspects of interest include but are not limited to:
o Diachronic development of support-verb constructions from Archaic into
modern Greek
o Synchronic profile of support-verb constructions (e.g. language-contact
approaches, socio-linguistic approaches, narratological approaches)
o Support-verb constructions as verbal multi-word expressions and their
relationship with other verbal multi-word expressions (e.g. phrasal verbs,
idioms)
o Support-verb constructions as complex predicates and their relationship with
other complex predicates and periphrasis
o Methods for the identification and discovery of support-verb constructions
in large corpora (incl. manual, semi-automated and automated approaches;
comparison with and adaptation of frameworks and methodologies developed for
languages other than Greek are most welcome)
o Support-verb constructions as lexemes and their relationship with other
members of the lexicon (e.g. including their semantic composition, the
eventiveness of the noun, issues of word formation)
o Syntactic surroundings of support-verb constructions (incl. the
syntax-semantics interface)
o Pragmatic surroundings of support-verb constructions and their discourse
functions
o Typological approaches to support-verb constructions across languages (yet
with clear reference to the Greek data), especially with regard to how to
delimit the group of relevant structures.
There are no constraints on corpora with regard to text type, material, or
period of time. Preference will however be given to data-driven over
theory-heavy proposals.
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