1,720,983 research outputs found
Lexicography of Coronavirus-related Neologisms
This volume brings together contributions by international experts reflecting on Covid19-related neologisms and their lexicographic processing and representation. The papers analyze new words, new meanings of existing words, and new multiword units in as many as ten languages, considering both specialized and general language, monolingual as well as bilingual and printed as well as online dictionaries
Dictionnaire Assimil Kernerman: Chinese-French & French-Chinese
Un dictionnaire compact (11 x 17 cm) s'adressant aux francophones apprenant le chinois. La partie chinois-français comporte 12 000 entrées, classées par l'ordre alphabétique du pinyin, avec des exemples d'emploi en caractères, pinyin et français. Recherche par les clés. La partie français-chinois comprend elle aussi environ 12 000 entrées. Au total, ce dictionnaire contient environ 30 000 mots et expressions et 25 000 exemple en chinois, pinyin et français. L'impression bicolore noir et bleu permet une lecture plus confortable mais les caractères sont un peu petits. Version PC téléchargeable
An overview of NexusLinguarum use cases: Current status and challenges
Working Group 4 (WG4) of the NexusLinguarum COST Action – European network for Web-centred linguistic data science (CA18209) – is dedicated to applying and validating the Action’s methodologies and technologies, as well as to eliciting the requirements for their implementation.
This article outlines WG4’s Tasks and Use Cases, their objectives, requirements, methodologies, resources, milestones and expected deliverables. In addition, it describes the cooperation with the other WGs of NexusLinguarum.
URL: https://lexicala.com/review/2021/an-overview-of-nexuslinguarum-use-cases-current-status-and-challenges
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
O-Dang! The Ontology of Dangerous Speech Messages
Inside the NLP community there is a considerable amount of language resources created, annotated and released every day with the aim of studying specific linguistic phenomena. Despite a variety of attempts in order to organize such resources has been carried on, a lack of systematic methods and of possible interoperability between resources are still present. Furthermore, when storing linguistic information, still nowadays, the most common practice is the concept of “gold standard”, which is in contrast with recent trends in NLP that aim at stressing the importance of different subjectivities and points of view when training machine learning and deep learning methods. In this paper we present O-Dang!: The Ontology of Dangerous Speech Messages, a systematic and interoperable Knowledge Graph (KG) for the collection of linguistic annotated data. O-Dang! is designed to gather and organize Italian datasets into a structured KG, according to the principles shared within the Linguistic Linked Open Data community. The ontology has also been designed to account a perspectivist approach, since it provides a model for encoding both gold standard and single-annotator labels in the KG. The paper is structured as follows. In Section 1. the motivations of our work are outlined. Section 2. describes the O-Dang! Ontology, that provides a common semantic model for the integration of datasets in the KG. The Ontology Population stage with information about corpora, users, and annotations is presented in Section 3.. Finally, in Section 4. an analysis of offensiveness across corpora is provided as a first case study for the resource
O-Dang! The Ontology of Dangerous Speech Messages
Inside the NLP community there is a considerable amount of language resources created, annotated and released every day with the aim of studying specific linguistic phenomena. Despite a variety of attempts in order to organize such resources has been carried on, a lack of systematic methods and of possible interoperability between resources are still present. Furthermore, when storing linguistic information, still nowadays, the most common practice is the concept of “gold standard”, which is in contrast with recent trends in NLP that aim at stressing the importance of different subjectivities and points of view when training machine learning and deep learning methods. In this paper we present O-Dang!: The Ontology of Dangerous Speech Messages, a systematic and interoperable Knowledge Graph (KG) for the collection of linguistic annotated data. O-Dang! is designed to gather and organize Italian datasets into a structured KG, according to the principles shared within the Linguistic Linked Open Data community. The ontology has also been designed to account a perspectivist approach, since it provides a model for encoding both gold standard and single-annotator labels in the KG. The paper is structured as follows. In Section 1. the motivations of our work are outlined. Section 2. describes the O-Dang! Ontology, that provides a common semantic model for the integration of datasets in the KG. The Ontology Population stage with information about corpora, users, and annotations is presented in Section 3.. Finally, in Section 4. an analysis of offensiveness across corpora is provided as a first case study for the resource
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Introduction to the Special Section of Papers from the 6th GLOBALEX Workshop on Lexicography and Neology
This special section of Lexikos focuses on lexicographic neology and neological lexicography, featuring seven of the papers presented at the sixth Globalex Workshop on Lexicography and Neology (GWLN-6),1 which was held in conjunction with the 28th International Conference of the African Association for Lexicography, AFRILEX 2024, at the University of Pretoria, South Africa
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