Multiword Expression Processing: A Survey

Mathieu Constant 1 Gülşen Eryiğit Johanna Monti Lonneke van der Plas Carlos Ramisch 2 Michael Rosner Amalia Todirascu 3, 4
1 ATILF - Analyse et Traitement Informatique de la Langue Française
2 TALEP - Traitement Automatique du Langage Ecrit et Parlé
LIS - Laboratoire d'Informatique et Systèmes
3 LILPA - Linguistique, Langues et Parole
4 LILPA
FDT - Fonctionnement Discursif et Traduction (LILPA)
Abstract : Multiword expressions (MWEs) are a class of linguistic forms spanning conventional word boundaries that are both idiosyncratic and pervasive across different languages. The structure of linguistic processing that depends on the clear distinction between words and phrases has to be re-thought to accommodate MWEs. The issue of MWE handling is crucial for NLP applications, where it raises a number of challenges. The emergence of solutions in the absence of guiding principles motivates this survey, whose aim is not only to provide a focused review of MWE processing, but also to clarify the nature of interactions between MWE processing and downstream applications. We propose a conceptual framework within which challenges and research contributions can be positioned. It offers a shared understanding of what is meant by “MWE processing,” distinguishing the subtasks of MWE discovery and identification. It also elucidates the interactions between MWE processing and two use cases: Parsing and machine translation. Many of the approaches in the literature can be differentiated according to how MWE processing is timed with respect to underlying use cases. We discuss how such orchestration choices affect the scope of MWE-aware systems. For each of the two MWE processing subtasks and for each of the two use cases, we conclude on open issues and research perspectives.
Document type :
Journal articles
Complete list of metadatas
https://halshs.archives-ouvertes.fr/halshs-01665254
Contributor : Amalia Todirascu <>
Submitted on : Friday, May 18, 2018 - 7:07:08 PM
Last modification on : Monday, January 20, 2020 - 3:26:02 PM

Links full text

openaccess

Identifiers

Collections

UNIV-AMU | CNRS | UNIV-TLN | LIS-LAB | SITE-ALSACE | ATILF | UNIV-LORRAINE

Citation

Mathieu Constant, Gülşen Eryiğit, Johanna Monti, Lonneke van der Plas, Carlos Ramisch, et al.. Multiword Expression Processing: A Survey. Computational Linguistics, Massachusetts Institute of Technology Press (MIT Press), 2017, 43 (4), pp.837-892. ⟨10.1162/COLI_a_00302⟩. ⟨halshs-01665254⟩

Export

BibTeX TEI DC DCterms EndNote

Share

Metrics

Record views

224

Contact

Informations

CCSD