Interactive Analysis and Visualisation of Annotated Collocations in Spanish (AVAnCES)

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F22%3AVURQ3TMA" target="_blank" >RIV/00216208:11320/22:VURQ3TMA - isvavai.cz</a>

Result on the web

<a href="https://aclanthology.org/2022.nlp4dh-1.4" target="_blank" >https://aclanthology.org/2022.nlp4dh-1.4</a>

DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Interactive Analysis and Visualisation of Annotated Collocations in Spanish (AVAnCES)

Original language description

Phraseology studies have been enhanced by Corpus Linguistics, which has become an interdisciplinary field where current technologies play an important role in its development. Computational tools have been implemented in the last decades with positive results on the identification of phrases in different languages. One specific technology that has impacted these studies is social media. As researchers, we have turned our attention to collecting data from these platforms, which comes with great advantages and its own challenges. One of the challenges is the way we design and build corpora relevant to the questions emerging in this type of language expression. This has been approached from different angles, but one that has given invaluable outputs is the building of linguistic corpora with the use of online web applications. In this paper, we take a multidimensional approach to the collection, design, and deployment of a phraseology corpus for Latin American Spanish from Twitter data, extracting features using NLP techniques, and presenting it in an interactive online web application. We expect to contribute to the methodologies used for Corpus Linguistics in the current technological age. Finally, we make this tool publicly available to be used by any researcher interested in the data itself and also on the technological tools developed here.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

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

Project

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Continuities

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Publication year

2022

Confidentiality

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

Article name in the collection

Proceedings of the 2nd International Workshop on Natural Language Processing for Digital Humanities

ISBN

978-1-955917-75-9

ISSN

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e-ISSN

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Number of pages

10

Pages from-to

21-30

Publisher name

Association for Computational Linguistics

Place of publication

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Event location

Taipei, Taiwan

Event date

Jan 1, 2022

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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