1,720,969 research outputs found
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
West meets East: Papers in historical lexicography and lexicology from across the globe
Synopsis:
Lexicography, in its many forms, is a very old, practical discipline solving practical problems concerning word usage. The term “word” seems more appropriate than “language” in this context, as lexicography addresses more questions relating to what we now call lexicology. As with all areas of human endeavour, what developed gradually through trial and error has eventually been subjected to a theoretical framework. The role of historical lexicography is to look back on the development of these highly varied word lists to understand how we arrived at the tremendous variety that characterises practice throughout the world.
This volume is both a selection of expanded papers from one conference on historical lexicography and lexicology, held under the aegis of the International Society for Historical Lexicography and Lexicology (ISHLL) in Lorient, France, in May 2022, and also the first in a new book series dedicated to the field. The new series represents a collaboration between two sister associations, ISHLL and the Helsinki Society for Historical Lexicography (HSHL). The volume contains texts in both English and French that provide insights into dictionaries, their compilers and users using evidence from numerous languages across the globe. It is also diachronic, moving from topics on medieval usage to contemporary issues concerning open access and digital publishing in historical lexicography. The title reflects the global scope of its authors and content, encompassing Japan to the United States, Eastern Europe to the United Kingdom, and Portugal
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
CER y WER: métricas de evaluación de modelos de reconocimiento automático de manuscritos e impresos antiguos
Los investigadores en humanidades digitales requieren métricas fiables para evaluar la calidad de los sistemas de Reconocimiento Automático de Texto (ATR) ya se trate de Handwritten Text Recognition (HTR) o de Optical Character Recognition (OCR). Esta ficha práctica proporciona una guía metodológica para comprender y aplicar correctamente las métricas Character Error Rate (CER) y Word Error Rate (WER) en proyectos de transcripción de textos antiguos. Se presentan las definiciones formales, fundamentos matemáticos basados en la distancia de Levenshtein, ejemplos, interpretación de valores según contextos de aplicación, análisis de ventajas y limitaciones y recomendaciones para su implementación en flujos de trabajo de investigación y edición
CER et WER : métriques d'évaluation de modèles de reconnaissance automatique de manuscrits et d'imprimés anciens
Les chercheurs en humanités numériques ont besoin de métriques fiables pour évaluer la qualité des systèmes de reconnaissance automatique de texte (Automatic Text Recognition, ATR), qu'il s'agisse de la Handwritten Text Recognition (HTR) ou de l'Optical Character Recognition (OCR) [19]. Cette fiche pratique fournit un guide méthodologique pour comprendre et appliquer correctement les métriques Character Error Rate (CER) et Word Error Rate (WER) dans le cadre de projets de transcription de textes anciens. Elle présente les définitions formelles, les fondements mathématiques basés sur la distance de Levenshtein, des exemples, l'interprétation des valeurs selon les contextes d'application, une analyse des avantages et des limites, ainsi que des recommandations pour leur mise en oeuvre dans les flux de travail de recherche et d'édition
CER et WER : métriques d'évaluation de modèles de reconnaissance automatique de manuscrits et d'imprimés anciens
Les chercheurs en humanités numériques ont besoin de métriques fiables pour évaluer la qualité des systèmes de reconnaissance automatique de texte (Automatic Text Recognition, ATR), qu'il s'agisse de la Handwritten Text Recognition (HTR) ou de l'Optical Character Recognition (OCR) [19]. Cette fiche pratique fournit un guide méthodologique pour comprendre et appliquer correctement les métriques Character Error Rate (CER) et Word Error Rate (WER) dans le cadre de projets de transcription de textes anciens. Elle présente les définitions formelles, les fondements mathématiques basés sur la distance de Levenshtein, des exemples, l'interprétation des valeurs selon les contextes d'application, une analyse des avantages et des limites, ainsi que des recommandations pour leur mise en oeuvre dans les flux de travail de recherche et d'édition
CER y WER: métricas de evaluación de modelos de reconocimiento automático de manuscritos e impresos antiguos
Los investigadores en humanidades digitales requieren métricas fiables para evaluar la calidad de los sistemas de Reconocimiento Automático de Texto (ATR) ya se trate de Handwritten Text Recognition (HTR) o de Optical Character Recognition (OCR). Esta ficha práctica proporciona una guía metodológica para comprender y aplicar correctamente las métricas Character Error Rate (CER) y Word Error Rate (WER) en proyectos de transcripción de textos antiguos. Se presentan las definiciones formales, fundamentos matemáticos basados en la distancia de Levenshtein, ejemplos, interpretación de valores según contextos de aplicación, análisis de ventajas y limitaciones y recomendaciones para su implementación en flujos de trabajo de investigación y edición
CER et WER : métriques d'évaluation de modèles de reconnaissance automatique de manuscrits et d'imprimés anciens
Les chercheurs en humanités numériques ont besoin de métriques fiables pour évaluer la qualité des systèmes de reconnaissance automatique de texte (Automatic Text Recognition, ATR), qu'il s'agisse de la Handwritten Text Recognition (HTR) ou de l'Optical Character Recognition (OCR) [19]. Cette fiche pratique fournit un guide méthodologique pour comprendre et appliquer correctement les métriques Character Error Rate (CER) et Word Error Rate (WER) dans le cadre de projets de transcription de textes anciens. Elle présente les définitions formelles, les fondements mathématiques basés sur la distance de Levenshtein, des exemples, l'interprétation des valeurs selon les contextes d'application, une analyse des avantages et des limites, ainsi que des recommandations pour leur mise en oeuvre dans les flux de travail de recherche et d'édition
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