Search

International audience; The Specificity measure (Lafon, 1980) is one of the core analytic features in textometric software like TXM, IRaMuTeQ, Trameur, Hyperbase, DtmVic, Lexico. It implements a precise and straightforward modeling of word frequency variation, and adopts a convenient notation that converts probabilities into magnitudes. This operational clarity is an asset in the Humanities from a hermeneutic point of view, and it helps understand and manage the model limitations. The Specificity measure does not modelize keyness, nor language, but it provides a meaningful benchmark for frequency evaluation. As a Fisher's exact test, it is valid over the entire frequency range, and it does not require any additional confidence test. The Specificity measure applies a bag-of-words reduction, however this may be overcome by using Specificity in combination with other text analysis tools or in the context of a rich corpus encoding, as can be illustrated within TXM software.Reference:Lafon, Pierre (1980). Sur la variabilité de la fréquence des formes dans un corpus. Mots, 1, 127-165.http://www.persee.fr/web/revues/home/prescript/article/mots_0243-6450_1980_num_1_1_1008

International audience; Active corpus provides the possibility to apply searching and statistical computing as if corpus were reduced to selected words, whereas full text still remains visible in context display. This is mainly implemented in paradigmatic processing, yet it may concern syntagmatic processing or text display too. Here we experiment active corpus in syntagmatic processing. A projection generates a new corpus, in which words are semantic tags that were automatically assigned in a first step to the original data. This new corpus makes it easy to explore tag sequences, with any generic textometric tool available, however sparse the original annotation may be. This methodological path was applied to film grammar analysis on 10,000 archival descriptions of news reports. 19 camera shot and angle types were ed through queries and tagged. This annotation became the lexicon of the projected corpus that was used to study shot sequences. The annotation and projection tools we have run are available as utilities in TXM open-sourcesoftware and should usefully serve many research projects.

Stylianos Chronopoulos, Felix K. Maier, Anna Novokhatko (eds.); International audience; Current implementations of Digital Humanities for classical studies are ofteneither rich digital editions, with much effort devoted to display a pleasantlayout and to offer efficient navigation paths; or indexed corpora ordatabases with querying facilities, for which the focus is on searchingfunctionalities and not on primary text visualization and reading. However,through the example of the textometric approach (presented in section 1.1)that is implemented in TXM open-source software (1.2), we would like toshow that complex textual representation and computational analysis can beboth taken into consideration into a unique digital framework (1.3). In orderto show that such a method can offer great possibilities for researchers in theClassics field, we will give a more complete presentation of the methodologyapplied to Plato’s Gorgias (section 2 and 3).

Editors: Taylor Arnold, Jasmijn van Gorp, Stefania Scagliola, and Lauren Tilton; International audience; The ANTRACT project is a cross-disciplinary apparatus dedicated to the analysis of the French newsreel company Les Actualités Françaises (1945-1969) and its film productions. Founded during the liberation of France, this state-owned company filmed more than 20,000 news reports shown in French cinemas and throughout the world over its 24 years of activity. The project brings together research organizations with a dual historical and technological perspective. ANTRACT’s goal is to study the production process, the film content, the way historical events are represented and the audience reception of Les Actualités Françaises newsreels using innovative AI-based data processing tools developed by partners specialized in image, audio, and text analysis.This article focuses on the data processing apparatus and tools of the project. Automatic content analysis is used to select data, to segment video units and typescript images, and to align them with their archival description. Automatic speech recognition provides a textual representation and natural language processing can extract named entities from the voice-over recording; automatic visual analysis is applied to detect and recognize faces of well-known characters in videos. These multifaceted data can then be queried and explored with the TXM text-mining platform.The results of these automatic analysis processes are feeding the Okapi platform, a client-server software that integrates documentation, information retrieval, and hypermedia capabilities within a single environment based on the Semantic Web standards. The complete corpus of Les Actualités Françaises, enriched with data and metadata, will be made available to the scientific community by the end of the project.

National audience; Cet exposé entend d'abord questionner les réalités concrètes des "données textuelles", et reconnaître la diversité des points de vue sur ces données, qui peuvent être très différents dans un contexte de production ou de recherche, et au sein même de la recherche entre sciences sociales et sciences humaines. A cette diversité de points de vue répond une diversité de méthodes et d'outils -CAQDAS, concordanciers, text mining, etc.-, au sein desquels situer la textométrie.Le propos sera centré sur l'approche textométrique. Nous illustrerons cette approche en parcourant les principaux types de questions pour lesquels la textométrie a développé des outils : que peut-on faire avec un logiciel de textométrie ? Puis, prenant du recul, nous mettrons en évidence des principes sous-jacents et des éléments méthodologiques forts de l'approche textométrique, à discuter en regard des attentes de la recherche en SHS.Le logiciel open-source TXM sera le principal support de l'exposé.

International audience; In regard to its annotated corpus exploration capabilities, AnaLog is a textometric tool. It allows linear and synthetic reading of annotated texts, inventory and counting of linguistic units, and their simultaneous contextualization on the paradigmatic and syntagmatic dimensions. To meet the needs of humanist users and linguists, AnaLog was designed to explore, at the same time, selected raw contents (text corpora), and their corresponding model-dependent representations (annotation resources), and then to dynamically analyze the composition of these two dimensions: annotated corpora. AnaLog is also singular by its unique navigation mode within data, results and parameters, using simple tables that can be sorted, filtered and modified to refine the current analysis.; Dans ses fonctionnalités d'exploration de corpus annotés, AnaLog est un outil de textométrie. Il permet la lecture linéaire ou synthétique de textes annotés, les inventaires et décomptes d'unités linguistiques, leur contextualisation simultanée sur les axes paradigmatiques et syntagmatique. Pour répondre aux besoinx d'utilisateurs humanistes et de linguistes, AnaLog a été conçu spécialement pour interroger simultanément des observables construits (corpus de textes) et des modèles de représentation (ressources d'annotation), afin d'étudier le résultat -toujours recomposable- issu du croisement des deux : les corpus annotés. L'originalité d'AnaLog tient aussi aux modes d'interrogation et de parcours des données et des résultats, ancrés sur la visualisation constante, sous forme de tableaux, des données textuelles et des paramètres actifs.

International audience