A Lexical Database of Portuguese Multiword Expressions

This presentation focuses on an ongoing project which aims at the creation of a large lexical database of Portuguese multiword (MW) units, automatically extracted through the analysis of a balanced 50 million word corpus, statistically interpreted with lexical association measures and validated by hand. This database covers different types of MW units, like named entities, and lexical associations ranging from sets of favoured co-occurring forms with high corpus frequency and low cohesion to strongly lexicalized expressions with no, or minimum, variation. This new resource has a two-fold objective: to be an important research tool which supports the development of collocation typologies and their integration in a larger theory of MW units; to be of major help in developing and evaluating language processing tools able of dealing with MW expressions.info:eu-repo/semantics/publishedVersio

A Lexical Database of Portuguese Multiword Expressions

This presentation focuses on an ongoing project which aims at the creation of a large lexical database of Portuguese multiword (MW) units, automatically extracted through the analysis of a balanced 50 million word corpus, statistically interpreted with lexical association measures and validated by hand. This database covers different types of MW units, like named entities, and lexical associations ranging from sets of favoured co-occurring forms with high corpus frequency and low cohesion to strongly lexicalized expressions with no, or minimum, variation. This new resource has a two-fold objective: to be an important research tool which supports the development of collocation typologies and their integration in a larger theory of MW units; to be of major help in developing and evaluating language processing tools able of dealing with MW expressions.info:eu-repo/semantics/publishedVersio

COMBINA-PT: a Large Corpus-extracted and Hand-checked Lexical Database of Portuguese Multiword Expressions

This paper presents the COMBINA-PT project, a study of corpus-extracted Portuguese Multiword (MW) expressions. The objective of this on-going project is to compile a large lexical database of multiword (MW) units of the Portuguese language, automatically extracted from a balanced 50 million word corpus, interpreted with lexical association measures and manually validated. MW expressions considered in the database include named entities and lexical associations with different degrees of cohesion, ranging from frozen groups, which undergo little or no variation, to lexical collocations composed of words that tend to occur together and that constitute syntactic dependencies, although with a low degree of fixedness. This new resource has a two-fold objective: (i) to be an important research tool which supports the development of MW expressions typologies and their lexicographic treatment; (ii) to be of major help in developing and evaluating language processing tools able of dealing with MW expressionsinfo:eu-repo/semantics/publishedVersio

Corpus-based extraction and identification of Portuguese Multiword Expressions

This presentation reports the methodology followed and the results attained on an on-going project aiming at building a large lexical database of corpus-extracted multiword (MW) expressions for the Portuguese language. MW expressions were automatically extracted from a balanced 50 million word corpus compiled for this project, furthermore statistically interpreted using lexical association measures and are undergoing a manual validation process. The lexical database covers different types of MW expressions, from named entities to lexical associations with different degrees of cohesion, ranging from totally frozen idioms to favoured co-occurring forms, like collocations. We aim to achieve two main objectives with this resource: to build on the large set of data of different types of MW expressions to revise existing typologies of collocations and to integrate them in a larger theory of MW units; to use the extensive hand-checked data as training data to evaluate existing statistical lexical association measures.Cet article présente la méthodologie suivie et les résultats obtenus dans le cadre d’un projet qui a pour objectif la construction d’une large base de données d’expressions multi-mots de la langue portugaise. Ces expressions multi-mots ont été automatiquement extraites d’un corpus équilibré de 50 millions de mots, interprétées statistiquement à l’aide de mesures d’association lexicales et ont été ensuite manuellement vérifiées. La base de données lexicales recouvre différent types d’expressions multi-mots avec différents degrés de cohésion, qui vont de la quasi totale fixité jusqu’aux groupes de mots qui se réalisent préférentiellement ensemble, comme les collocations. Le large ensemble de données de cette ressource permettra une révision des typologies d’unités multi-mots en portugais et l’évaluation de différentes mesures d’associations lexicales.info:eu-repo/semantics/publishedVersio

Collocations in Portuguese: A corpus-based approach to lexical patterns

Collocations and, more generally, multiword expressions, have been extensively studied for the English language and a large set of resources are available in terms of linguistic description and tools for language learning. On the contrary, combinatorial resources for Portuguese are scarce, although specific types of collocations, such as light verb constructions, nominal compounds and proverbs, have been the topic of many studies. This chapter reviews different theoretical perspectives on multiword expressions and collocations in Portuguese and presents in more detail the results of the COMBINA-PT project, a corpus-based approach to the study of collocations.info:eu-repo/semantics/publishedVersio

The Reference Corpus of Contemporary Portuguese and related resources

The extraordinary growth of computer applications, particularly over the last two decades, has enabled the easy compilation and exploration of large corpora and lexica. These linguistic resources play a fundamental role in the areas of theoretical linguistics and natural language engineering. Combining these two areas of knowledge can, in fact, result in the development of a large number of applications, such as new and straightforward descriptions of languages based on real data; contrastive studies between varieties of a particular language aiming at finding factors of unity and diversity; cross-linguistic contrastive studies; grammars; lexica and dictionaries; terminologies; assisted translation materials; language teaching materials; computer tools and applications for processing natural language. Having this principle in mind and following the tradition at the Centre of Linguistics of the University of Lisbon (CLUL)i of collecting and studying real language data, a large electronic corpus – the Corpus de Referência do Português Contemporâneo (Reference Corpus of Contemporary Portuguese, CRPC) – is being compiled at CLUL since 1988. The CRPC currently contains approximately 310 million words, searchable through a user-friendly interface, and it is envisaged as a monitor corpus (from which one can extract balanced subcorpora) that can serve as a sample of the Portuguese language (both in its written and spoken varieties). In the next sections, we will describe the CRPC and how it forms the basis for important resources developed at CLUL.info:eu-repo/semantics/publishedVersio

Proposal for Multi-word Expression annotation in running text

We present a proposal for the annotation of multi-word expressions in a 1M corpus of contemporary portuguese. Our aim is to create a resource that allows us to study multi-word expressions (MWEs) in their context. The corpus will be a valuable additional resource next to the already existing MWE lexicon that was based on a much larger corpus of 50M words. In this paper we discuss the problematic cases for annotation and proposed solutions, focusing on the variational properties of MWEs.info:eu-repo/semantics/publishedVersio

PARSEME Survey on MWE Resources

International audienceThis paper summarizes the first results of an ongoing survey on multiword resources carried out within the IC1207 Cost ActionPARSEME (PARSing and Multi-word Expressions). Despite the availability of language resource catalogues and the inventory ofmultiword data-sets available at the SIGLEX-MWE website, multiword resources are scattered and prove to be difficult to be found.In many cases, language resources such as corpora, treebanks or lexical databases include multiwords as part of their data or take theminto consideration in their annotations. However, it is needed to centralize these resources so that other researches may subsequentlyuse them. The final aim of this survey is thus to create a portal where researchers may find multiword resources or multiword-awarelanguage resources for their research. We report on how the survey was designed and analyze the data gathered so far. We also discussthe problems we have detected upon examination of the data and possible ways of enhancing the survey

D3.8 Lexical-semantic analytics for NLP

UIDB/03213/2020 UIDP/03213/2020The present document illustrates the work carried out in task 3.3 (work package 3) of ELEXIS project focused on lexical-semantic analytics for Natural Language Processing (NLP). This task aims at computing analytics for lexical-semantic information such as words, senses and domains in the available resources, investigating their role in NLP applications. Specifically, this task concentrates on three research directions, namely i) sense clustering, in which grouping senses based on their semantic similarity improves the performance of NLP tasks such as Word Sense Disambiguation (WSD), ii) domain labeling of text, in which the lexicographic resources made available by the ELEXIS project for research purposes allow better performances to be achieved, and finally iii) analysing the diachronic distribution of senses, for which a software package is made available.publishersversionpublishe

The role of constituents in multiword expressions

Multiword expressions (MWEs), such as noun compounds (e.g. nickname in English, and Ohrwurm in German), complex verbs (e.g. give up in English, and aufgeben in German) and idioms (e.g. break the ice in English, and das Eis brechen in German), may be interpreted literally but often undergo meaning shifts with respect to their constituents. Theoretical, psycholinguistic as well as computational linguistic research remain puzzled by when and how MWEs receive literal vs. meaning-shifted interpretations, what the contributions of the MWE constituents are to the degree of semantic transparency (i.e., meaning compositionality) of the MWE, and how literal vs. meaning-shifted MWEs are processed and computed. This edited volume presents an interdisciplinary selection of seven papers on recent findings across linguistic, psycholinguistic, corpus-based and computational research fields and perspectives, discussing the interaction of constituent properties and MWE meanings, and how MWE constituents contribute to the processing and representation of MWEs. The collection is based on a workshop at the 2017 annual conference of the German Linguistic Society (DGfS) that took place at Saarland University in Saarbrücken, Germany