Revisiting VMWEs in Hindi: Annotating Layers of Predication

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F25%3ACKE944LC" target="_blank" >RIV/00216208:11320/25:CKE944LC - isvavai.cz</a>

Result on the web

<a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195167805&partnerID=40&md5=d306023266b50775f9301522992b0057" target="_blank" >https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195167805&partnerID=40&md5=d306023266b50775f9301522992b0057</a>

DOI - Digital Object Identifier

—

Result language

angličtina

Original language name

Revisiting VMWEs in Hindi: Annotating Layers of Predication

Original language description

Multiword expressions in languages like Hindi are both productive and challenging. Hindi not only uses a variety of verbal multiword expressions (VMWEs) but also employs different combinatorial strategies to create new types of multiword expressions. In this paper we are investigating two such strategies that are quite common in the language. Firstly, we describe that VMWEs in Hindi are not just lexical but also morphological. Causatives are formed morphologically in Hindi. Second, we examine Stacked VMWEs i.e. when at least two VMWEs occur together. We suggest that the existing PARSEME annotation framework can be extended to these two phenomena without changing the existing guidelines. We also propose rule-based heuristics using existing Universal Dependency annotations to automatically identify and annotate some of the VMWEs in the language. The goal of this paper is to refine the existing PARSEME corpus of Hindi for VMWEs while expanding its scope giving a more comprehensive picture of VMWEs in Hindi. © European Language Resources Association: CC BY-NC 4.0.

Czech name

—

Czech description

—

Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

—

Continuities

—

Publication year

2024

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Jt. Workshop Multiword Expressions Univers. Depend., MWE-UD LREC-COLING - Workshop Proc.

ISBN

978-249381420-3

ISSN

—

e-ISSN

—

Number of pages

8

Pages from-to

98-105

Publisher name

European Language Resources Association (ELRA)

Place of publication

—

Event location

Torino, Italia

Event date

Jan 1, 2025

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

—