Computational Methods for Coptic: Developing and Using Part-of-Speech Tagging for Digital Scholarship in the Humanities

Zeldes, Amir; Schroeder, Caroline T.

doi:10.1093/llc/fqv043

Cited by 7 publications

(3 citation statements)

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“…The CTS URN model partially overlaps with the Functional Requirements for Bibliographic Records (FRBR) model. CTS derives from the conceptual entity-relationship model of FRBR, to describe the editions and 5 For principles and best practices for part of speech tagging in Coptic, see Zeldes and Schroeder, 2015; for regularly updated guidelines see Zeldes and Schroeder, "SCRIPTORIUM Part-of-Speech Tagsets for Sahidic Coptic"; For lemmatization guidelines, see Zeldes, "Coptic SCRIPTORIUM -Lemmatization Guidelines." 6 On the implications of Coptic grammar and word segmentation for digitization (especially the concepts of morphemes, words, and bound groups), see Schroeder and Zeldes, "Raiders of the Lost Corpus."…”

Section: Id User Storymentioning

confidence: 99%

Applying the Canonical Text Services Model to the Coptic SCRIPTORIUM

Almas

Schroeder²

2016

Data Science Journal

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Coptic SCRIPTORIUM is a platform for interdisciplinary and computational research in Coptic texts and linguistics. The purpose of this project was to research and implement a system of stable identification for the texts and linguistic data objects in Coptic SCRIPTORIUM to facilitate their citation and reuse. We began the project with a preferred solution, the Canonical Text Services URN model, which we validated for suitability for the corpus and compared it to other approaches, including HTTP URLs and Handles. The process of applying the CTS model to Coptic SCRIPTORIUM required an in-depth analysis that took into account the domain-specific scholarly research and citation practices, the structure of the textual data, and the data management workflow.

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Section: Id User Storymentioning

confidence: 99%

Applying the Canonical Text Services Model to the Coptic SCRIPTORIUM

Almas

Schroeder²

2016

Data Science Journal

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“…based on ∼1 million tokens of unannotated, automatically segmented Coptic text from Coptic Scriptorium(Zeldes and Schroeder, 2015) with a vocabulary size of ∼11,000 types and 50 dimensional representations.…”

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Exhaustive Entity Recognition for Coptic: Challenges and Solutions

Zeldes,

Martin,

2020

Preprint

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Entity recognition provides semantic access to ancient materials in the Digital Humanities: it exposes people and places of interest in texts that cannot be read exhaustively, facilitates linking resources and can provide a window into text contents, even for texts with no translations. In this paper we present entity recognition for Coptic, the language of Hellenistic era Egypt. We evaluate NLP approaches to the task and lay out difficulties in applying them to a low-resource, morphologically complex language. We present solutions for named and non-named nested entity recognition and semi-automatic entity linking to Wikipedia, relying on robust dependency parsing, feature-based CRF models, and hand-crafted knowledge base resources, enabling high accuracy NER with orders of magnitude less data than those used for high resource languages. The results suggest avenues for research on other languages in similar settings.1. We provide a new dataset annotated for entity types, named and non-named, nested entities, and entity linking, i.e. connecting spans of text to a table of specific people, places and other identifiers.2. We evaluate recent NLP approaches to NER in a low resource setting and show that they do not perform adequately for the needs of (Digital) Humanists.3. We present an alternative approach relying on dependency parsing, feature-based CRF models and a modest sized knowledge base, which are less labor intensive to produce than million-word training datasets, and offer a way forward for high accuracy NER in a morphologically complex, low resource historical language.

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“…337 The principal investigators of Coptic SCRIPTORIUM project are Caroline Schroeder and Amir Zeldes. For the concept and overview of the project, seeSchroeder 2015 andSchroeder and Zeldes 2018. 338 For multi-layer corpus method used in Coptic SCRIPTORIUM, see Zeldes 2018.339 Coptic SCRIPTORIUM's homepage can be found at http://copticscriptorium.org/, last accessed on October 15, 2021.…”

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confidence: 99%

Shenoute, Besa and the Bible

So¹

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This study sees itself as part of the larger field of intertextuality studies and examines, using the latest digital text reuse technology, the reuse of biblical texts in the writings of two Late Antique Christian authors from Egypt, the abbots Shenoute and Besa. It explores, on the basis of selected writings by these authors, the advantages and limitations of using digital methods to study the form and function of biblical intertexts in monastic literature written in Coptic. In particular, it seeks answers to a number of specific research questions, e.g., the extent to which quotations are faithful to the original biblical sources, the influence of quotation-introducing formulae or the question how digital technologies can be used to facilitate intertextuality studies.To pursue these topics, after an introduction to the life and works of both authors (Chapter 1), it describes the state of research for intertextuality studies with a focus on biblical and Early Christian and Coptic studies, and Shenoute in particular (Chapter 2). Text reuse detection technology, which was developed in the field of computer science, is introduced, and its practical applications are described. Specific focus is placed on the history of text reuse detection and the subtle differences between intertextuality and text reuses. In addition, the current progress in studies on intertextuality in Shenoute's works is explored.Digital text reuse technology is described in detail (Chapter 3), in particular the technology that underpins the processing mechanisms employed by the latest text reuse detection software, TRACER, and pre-processing features such as optical character recognition, Unicode conversion, tokenization, lemmatization, and part-of-speech tagging. The case study for examining the application of digital text

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Computational Methods for Coptic: Developing and Using Part-of-Speech Tagging for Digital Scholarship in the Humanities

Cited by 7 publications

References 3 publications

Applying the Canonical Text Services Model to the Coptic SCRIPTORIUM

Applying the Canonical Text Services Model to the Coptic SCRIPTORIUM

Exhaustive Entity Recognition for Coptic: Challenges and Solutions

Shenoute, Besa and the Bible

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