Multiword Discourse Markers Across Languages: A Linguistic and Computational Perspective

ABSTRACT Discourse markers (DMs) are linguistic expressions that convey different semantic and pragmatic values, managing and organizing the structure of spoken and written discourses. They can be either single‐word or multiword expressions (MWE), made up of conjunctions, adverbs, and prepositional phrases. Although DMs are the focus of many studies, some questions regarding the interoperability of taxonomies and automatic identification and classification require further research. We aim to tackle these issues by offering a critical analysis and discussing the constitution of a multilingual corpus in 10 languages, i.e., English, Lithuanian, Bulgarian, German, Macedonian, Romanian, Hebrew, Polish, European Portuguese, and Italian. The novel two‐level annotation approach is based on (i) signaling the existence or non‐existence of DMs in a given text, and (ii) applying the ISO‐24617 standard to annotate the DMs’ discourse relation and communicative function in the corpora. Additionally, we introduce prediction models for detecting the presence of DMs within a text.

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Publication Details

Journal
International Journal of Applied Linguistics
Published
2025-04-22
DOI
https://doi.org/10.1111/ijal.12755
Primary Topic
Natural Language Processing Techniques
Type
article
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article

Multiword Discourse Markers Across Languages: A Linguistic and Computational Perspective

Ciprian‐Octavian Truică, Mariana Damova, Giedrė Valūnaitė Oleškevičienė, Elena‐Simona Apostol et al.
International Journal of Applied Linguistics
Natural Language Processing Techniques
article

Multiword Discourse Markers Across Languages: A Linguistic and Computational Perspective

Ciprian‐Octavian Truică, Mariana Damova, Giedrė Valūnaitė Oleškevičienė, Elena‐Simona Apostol, Chaya Liebeskind, Anna Bączkowska, Dimitar Trajanov, Christian Chiarcos, Purificação Silvano, Emma Angela Montecchiari
article en

Abstract

ABSTRACT Discourse markers (DMs) are linguistic expressions that convey different semantic and pragmatic values, managing and organizing the structure of spoken and written discourses. They can be either single‐word or multiword expressions (MWE), made up of conjunctions, adverbs, and prepositional phrases. Although DMs are the focus of many studies, some questions regarding the interoperability of taxonomies and automatic identification and classification require further research. We aim to tackle these issues by offering a critical analysis and discussing the constitution of a multilingual corpus in 10 languages, i.e., English, Lithuanian, Bulgarian, German, Macedonian, Romanian, Hebrew, Polish, European Portuguese, and Italian. The novel two‐level annotation approach is based on (i) signaling the existence or non‐existence of DMs in a given text, and (ii) applying the ISO‐24617 standard to annotate the DMs’ discourse relation and communicative function in the corpora. Additionally, we introduce prediction models for detecting the presence of DMs within a text.

International Journal of Applied LinguisticsVol. 35(4)
Mykolas Romeris University (LT), University of Augsburg (DE), Universidade do Porto (PT), Jerusalem College of Technology (IL), Academia Oamenilor de Știință din România (RO), University of Gdańsk (PL), Universitatea Națională de Știință și Tehnologie Politehnica București (RO), Ss. Cyril and Methodius University in Skopje (MK)
Openalex Percentile: Top 96%
Natural Language Processing Techniques
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