Uzwordnet: A lexical-semantic database for the uzbek language

A Agostini, T Usmanov, U Khamdamov… - Proceedings of the …, 2021 - aclanthology.org
The results reported in this paper aim to increase the presence of the Uzbek language in the
Internet and its usability within IT applications. We describe the initial development of a …

Representing interlingual meaning in lexical databases

F Giunchiglia, G Bella, NC Nair, Y Chi, H Xu - Artificial Intelligence Review, 2023 - Springer
In today's multilingual lexical databases, the majority of the world's languages are under-
represented. Beyond a mere issue of resource incompleteness, we show that existing lexical …

Language diversity: Visible to humans, exploitable by machines

G Bella, E Byambadorj, Y Chandrashekar… - arXiv preprint arXiv …, 2022 - arxiv.org
The Universal Knowledge Core (UKC) is a large multilingual lexical database with a focus
on language diversity and covering over a thousand languages. The aim of the database, as …

A major wordnet for a minority language: Scottish gaelic

G Bella, F McNeill, R Gorman… - 12th Language …, 2020 - research.ed.ac.uk
We present a new wordnet resource for Scottish Gaelic, a Celtic minority language spoken
by about 60,000 speakers, most of whom live in Northwestern Scotland. The wordnet …

Building the mongolian wordnet

K Batsuren, A Ganbold, A Chagnaa… - Proceedings of the …, 2019 - iris.unitn.it
This paper presents the Mongolian Wordnet (MOW), and a general methodology of how to
construct it from various sources eg lexical resources and expert translations. As of today …

[PDF][PDF] Using crowdsourced exercises for vocabulary training to expand conceptnet

C Rodosthenous, V Lyding, F Sangati… - 12th International …, 2020 - researchportal.helsinki.fi
In this work, we report on a crowdsourcing experiment conducted using the V-TREL
vocabulary trainer which is accessed via a Telegram chatbot interface to gather knowledge …

Crowdsourcing Lexical Diversity

H Khalilia, J Otterbacher, G Bella, R Noortyani… - arXiv preprint arXiv …, 2024 - arxiv.org
Lexical-semantic resources (LSRs), such as online lexicons or wordnets, are fundamental
for natural language processing applications. In many languages, however, such resources …

Creating expert knowledge by relying on language learners: A generic approach for mass-producing language resources by combining implicit crowdsourcing and …

L Nicolas, V Lyding, C Borg, C Forascu… - LREC 2020 …, 2020 - inria.hal.science
We introduce in this paper a generic approach to combine implicit crowdsourcing and
language learning in order to mass-produce language resources (LRs) for any language for …

[PDF][PDF] An experiment on implicitly crowdsourcing expert knowledge about Romanian synonyms from language learners

L Nicolas, LN Aparaschivei, V Lyding… - Proceedings of the …, 2021 - aclanthology.org
In this paper, we present an experiment performed with the aim of evaluating if linguistic
knowledge of expert quality about Romanian synonyms could be crowdsourced from L1 …

About the applicability of combining implicit crowdsourcing and language learning for the collection of NLP datasets

V Lyding, L Nicolas, A König - … of the 2nd Workshop on Novel …, 2022 - aclanthology.org
In this article, we present a recent trend of approaches, hereafter referred to as Collect4NLP,
and discuss its applicability. Collect4NLP-based approaches collect inputs from language …