34.1366, Confs: PaVeDa Workshop. The Pavia Verbs Database: State of the art, challenges, and perspectives

Sun Apr 30 02:05:08 UTC 2023

LINGUIST List: Vol-34-1366. Sun Apr 30 2023. ISSN: 1069 - 4875.

Subject: 34.1366, Confs: PaVeDa Workshop. The Pavia Verbs Database: State of the art, challenges, and  perspectives

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================================================================

Date: 29-Apr-2023
From: Nicholas Nese [nicholas.nese at unipv.it]
Subject: PaVeDa Workshop. The Pavia Verbs Database: State of the art, challenges, and  perspectives

PaVeDa Workshop. The Pavia Verbs Database: State of the art,
challenges, and  perspectives

Date: 17-May-2023 - 18-May-2023
Location: Pavia, Italy
Contact: Nicholas Nese
Contact Email: nicholas.nese at unipv.it
Meeting URL: https://sites.google.com/unipv.it/pavia-verbs-database

Linguistic Field(s): Text/Corpus Linguistics; Typology
Subject Language(s): Armenian, Classical (xcl)
                     Chuvash (chv)
                     Finnish (fin)
                     German, Old High (goh)
                     Hungarian (hun)

Meeting Description:

PaVeDa–Pavia Verbs Database is an open-source relational database for
investigating verb argument structure across languages (Zanchi et al.
2022), which intends to expand and enhance the ValPaL database
(Hartmann et al. 2013; Haspelmath/Hartmann 2015) with more languages
and further features. The PaVeDa database features four major
innovations as compared to the ValPaL database: (i) it includes data
from ancient languages enabling diachronic research; (ii) it expands
the language sample to language families that are not represented in
the ValPaL; (iii) it is linked to external corpora that are used as
sources of usage-based examples of stored patterns; (iv) it introduces
a new cross-linguistic layer of annotation for valency patterns which
allows for contrastive data visualization.

Research of ancient languages has forced us to abandon native
speakers’ intuition to select the basic verbs lexicalizing each verb
meaning and to lay out new selectional criteria based on frequency in
corpora, morphological complexity, and continuity of attestation. As
an innovation with respect to the elicitation method, we plan to add
corpus data to modern languages as well, to avoid idiosyncratic verb
selection and overlooking attested alternations, and to make it
possible to draw a frequency-based distinction of regular vs marginal
alternations and of basic valency patterns. This latter point has made
us reconsider our overall view of valency: instead of establishing
basic valency patterns by combining the semantics of the verb with its
maximal argument structure, PaVeDa also considers frequency to
establish basicness of each valency pattern. PaVeDa will be also
linked to external corpora used as sources of usage-based examples of
stored patterns. Finally, PaVeDa introduces a new cross-linguistic
layer of annotation containing comparative concepts for valency
patterns and alternations, which allows for contrastive data
visualization.

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