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Authorship attribution mainly deals with undecided authorship of literary texts. Authorship attribution is useful in resolving issues like uncertain authorship, recognize authorship of unknown texts, spot plagiarism so on. Statistical…

Digital Libraries · Computer Science 2013-10-21 M. Sudheep Elayidom , Chinchu Jose , Anitta Puthussery , Neenu K Sasi

Since 2006 we have undertaken to describe the differences between 17th century English and contemporary English thanks to NLP software. Studying a corpus spanning the whole century (tales of English travellers in the Ottoman Empire in the…

Computation and Language · Computer Science 2011-09-23 Odile Piton , Slim Mesfar , Hélène Pignot

Maintaining anonymity in natural language communication remains a challenging task. Even when the number of candidate authors is large, standard authorship attribution techniques that analyze writing style predict the original author with…

Computation and Language · Computer Science 2026-03-04 Haining Wang , Patrick Juola , Allen Riddell

The increasing sophistication of AI-generated texts highlights the urgent need for accurate and transparent detection tools, especially in educational settings, where verifying authorship is essential. Existing literature has demonstrated…

Computation and Language · Computer Science 2025-05-06 Chidimma Opara

Handwritten Text Recognition has achieved an impressive performance in public benchmarks. However, due to the high inter- and intra-class variability between handwriting styles, such recognizers need to be trained using huge volumes of…

Computer Vision and Pattern Recognition · Computer Science 2022-04-13 Lei Kang , Pau Riba , Marçal Rusiñol , Alicia Fornés , Mauricio Villegas

In this paper, we introduce a new modeling approach of texts for handwriting recognition based on syllables. We propose a supervised syllabification approach for the French and English languages for building a vocabulary of syllables.…

Computer Vision and Pattern Recognition · Computer Science 2018-08-23 Wassim Swaileh , Thierry Paquet

A growing number of AI-generated texts raise serious concerns. Most existing approaches to AI-generated text detection rely on fine-tuning large transformer models or building ensembles, which are computationally expensive and often provide…

Computation and Language · Computer Science 2026-01-12 Sergey K. Aityan , William Claster , Karthik Sai Emani , Sohni Rais , Thy Tran

This paper introduces a spelling correction system which integrates seamlessly with morphological analysis using a multi-tape formalism. Handling of various Semitic error problems is illustrated, with reference to Arabic and Syriac…

cmp-lg · Computer Science 2008-02-03 Tanya Bowden , George Anton Kiraz

This study examines the impact of historical text normalization on the classification of medieval charters, specifically focusing on document dating and locating. Using a data set of Middle High German charters from a digital archive, we…

Computation and Language · Computer Science 2025-07-24 Florian Atzenhofer-Baumgartner , Tamás Kovács

In this paper, we explore different ways of training a model for handwritten text recognition when multiple imperfect or noisy transcriptions are available. We consider various training configurations, such as selecting a single…

Computer Vision and Pattern Recognition · Computer Science 2023-06-21 Solène Tarride , Tristan Faine , Mélodie Boillet , Harold Mouchère , Christopher Kermorvant

Formality is one of the important characteristics of text documents. The automatic detection of the formality level of a text is potentially beneficial for various natural language processing tasks. Before, two large-scale datasets were…

Computation and Language · Computer Science 2023-09-11 Daryna Dementieva , Nikolay Babakov , Alexander Panchenko

Author co-citation studies employ factor analysis to reduce high-dimensional co-citation matrices to low-dimensional and possibly interpretable factors, but these studies do not use any information from the text bodies of publications. We…

Digital Libraries · Computer Science 2013-05-08 Arnim Bleier , Andreas Strotmann

The contributions in this article are two-fold. First, we introduce a new hand-written digit data set that we collected. It contains high-resolution images of hand-written The contributions in this article are two-fold. First, we introduce…

Computer Vision and Pattern Recognition · Computer Science 2022-11-29 Cédric Beaulac , Jeffrey S. Rosenthal

Handwriting is an art form that most people learn at an early age. Each person's writing style is unique with small changes as we grow older and as our mood changes. Here we analyse handwritten text in a culturally significant personal…

Digital Libraries · Computer Science 2023-08-29 Sharmistha S. Sawant , Saloni D. Thakare , Derek Greene , Gerardine Meaney , Alan F. Smeaton

Written language contains stylistic cues that can be exploited to automatically infer a variety of potentially sensitive author information. Adversarial stylometry intends to attack such models by rewriting an author's text. Our research…

Computation and Language · Computer Science 2021-01-28 Chris Emmery , Ákos Kádár , Grzegorz Chrupała

Distant reading methodologies make use of computational processes to aid in the analysis of large text corpora which might not be pliable to traditional methods of scholarly analysis due to their volume. While these methods have been…

Human-Computer Interaction · Computer Science 2020-09-08 Andrew McNutt , Agatha Kim , Sergio Elahi , Kazutaka Takahashi

The text-critical practice of grouping witnesses into families or texttypes often faces two obstacles: Contamination in the manuscript tradition, and co-dependence in identifying characteristic readings and manuscripts. We introduce…

Machine Learning · Computer Science 2016-02-04 Joey McCollum , Stephen Brown

Handwriting is an alternative method for entering texts which composed Short Message Services. However, a whole new language features the texts which are produced. They include for instance abbreviations and other consonantal writing which…

Computation and Language · Computer Science 2009-09-17 Emmanuel Prochasson , Emmanuel Morin , Christian Viard-Gaudin

In this paper, we work on intra-variable handwriting, where the writing samples of an individual can vary significantly. Such within-writer variation throws a challenge for automatic writer inspection, where the state-of-the-art methods do…

Computer Vision and Pattern Recognition · Computer Science 2020-05-08 Chandranath Adak , Bidyut B. Chaudhuri , Chin-Teng Lin , Michael Blumenstein

There is a large volume of late antique and medieval Hebrew texts. They represent a crucial linguistic and cultural bridge between Biblical and modern Hebrew. Poetry is prominent in these texts and one of its main haracteristics is the…

Computation and Language · Computer Science 2025-03-04 Michael Toker , Oren Mishali , Ophir Münz-Manor , Benny Kimelfeld , Yonatan Belinkov