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Found 7 papers, 4 papers with code
“Don’t worry, it’s just noise’”: quantifying the impact of files treated as single textual units when they are really collections
Literature works may present many autonomous or semi-autonomous units, such as poems for the first or chapter for the second.
Detecting Sexual Content at the Sentence Level in First Millennium Latin Texts
In this study, we propose to evaluate the use of deep learning methods for semantic classification at the sentence level to accelerate the process of corpus building in the field of humanities and linguistics, a traditional and time-consuming task.
You Actually Look Twice At it (YALTAi): using an object detection approach instead of region segmentation within the Kraken engine
Layout Analysis (the identification of zones and their classification) is the first step along line segmentation in Optical Character Recognition and similar tasks.
Corpus and Models for Lemmatisation and POS-tagging of Old French
Old French is a typical example of an under-resourced historic languages, that furtherly displays animportant amount of linguistic variation.
Stylometry for Noisy Medieval Data: Evaluating Paul Meyer's Hagiographic Hypothesis
Stylometric analysis of medieval vernacular texts is still a significant challenge: the importance of scribal variation, be it spelling or more substantial, as well as the variants and errors introduced in the tradition, complicate the task of the would-be stylometrist.
Standardizing linguistic data: method and tools for annotating (pre-orthographic) French
With the development of big corpora of various periods, it becomes crucial to standardise linguistic annotation (e. g. lemmas, POS tags, morphological annotation) to increase the interoperability of the data produced, despite diachronic variations.
Corpus and Models for Lemmatisation and POS-tagging of Classical French Theatre
This paper describes the process of building an annotated corpus and training models for classical French literature, with a focus on theatre, and particularly comedies in verse.
