In search of comity: TEI for distant reading

Burnard, Lou; Schöch, Christof; Odebrecht, Carolin

doi:10.4000/jtei.3500

Cited by 7 publications

(7 citation statements)

References 11 publications

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“…With the TEI XSLT stylesheets the prose guidelines can be converted to HTML for reading, while the ODD schema specification is converted into one of the standard XML schema languages, such as the ISO standard RelaxNG, and such an XML schema is then used for formal validation of the corpora. The design of the Parla-CLARIN recommendation was inspired by previous similar e orts, in particular the TEI Lex-0 encoding recommendations for dictionaries (Tasovac et al, 2018) 5 and the TEI schema for the multilingual ELTeC corpus containing 100 historical novels for a number of languages (Burnard et al, 2021; 6 .…”

Section: Encoding the Parlamint Corporamentioning

confidence: 99%

TEI and Git in ParlaMint: Collaborative Development of Language Resources

Erjavec,

Kopp,

Meden

2023

Linköping Electronic Conference Proceedings

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This paper discusses the encoding, validation and development of language resources of the completed ParlaMint I and on-going ParlaMint II CLARIN projects, which centre on the collaborative development of a large set of interoperable corpora of parliamentary proceedings. It focuses on the ParlaMint encoding and the GitHub development platform and the evaluation of their use by project partners. We introduce the use of TEI ODD for the encoding guidelines and validation schemas. We motivate and explain using Git to develop and maintain the encoding schemas, validation and conversion scripts and valid samples of the corpora. Apart from revision control, issues, and publishing documentation, the GitHub platform also supports integrating code execution with pull requests, which significantly automates the data submission process. The paper also presents the results of a survey on the use of TEI and Git in the ParlaMint projects among the project participants. Overall, participants were mostly positive about their experiencewith TEI and Git, although some difficulties were reported. Some partners also expressed doubts about whether the current scheme is flexible enough to support encoding the unique features of sometimes drastically different parliamentary systems. On the other hand, reactions to Git were very positive in terms of information and feedback received via GitHub Issues, effectiveness in the communication process, and plans to use Git in the future. However, there was less agreement on whether the requirements and workflows were adequately explained.The reported difficulties will serve as a basis for further Git workflow optimisation in ParlaMint.

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Section: Encoding the Parlamint Corporamentioning

confidence: 99%

TEI and Git in ParlaMint: Collaborative Development of Language Resources

Erjavec,

Kopp,

Meden

2023

Linköping Electronic Conference Proceedings

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“…It can be argued that this Digital Library has become one of the most widely used textual resources in the German-speaking countries. Many other corpora containing German literature, such as KOLIMO (Herrmann and Lauer, 2018) and the German subcorpora within DraCor (Börner and Trilcke, 2023;Fischer et al, 2019) or ELTeC (Burnard et al, 2021;Schöch et al, 2021), rely on texts from the Digital Library.…”

Section: Characteristics Of Tgrmentioning

confidence: 99%

Between corpora, tools and authority files

Calvo Tello,

E. Funk,

Göbel

et al. 2023

RHD

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In this article, we discuss the ways in which Digital Humanities projects organise their resources, and argue for the need to collaborate with specialised services from other institutions for specific tasks, just as research publishers do. More specifically, we argue that libraries have a new central role to play in the publication of research data in repositories. Using the TextGrid Repository (TGR) as an example, we present its main components, its history, its main features, and discuss its advantages and disadvantages in comparison with similar repositories and technologies. We then present its current development within the Text+ consortium, both in the form of new features but also in the integration of existing corpora, making it interesting not only for German literature (as has been the case until now), but also for other traditions, especially Spanish literature.

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“…The COST Action "Distant Reading for European Literary History" (https://www. distant-reading.net, accessed on 29 January 2022) coordinates the creation of a multilingual European Literary Text Collection (ELTeC) [31]. This resource will be used to establish best practices and develop innovative methods of Distant Reading for the multiple European literary traditions.…”

Section: Datasetmentioning

confidence: 99%

“…The action is set to finish by the end of April of 2022, so more novels are expected to be added. Each novel is supported by metadata concerning their production and reception, aiming to become a reliable basis for comparative work in data-driven textual analysis [31]. All novels and transformation scripts and available on GitHub for browse and download, and more curated versions are published periodically on Zenodo (https://zenodo.org/communities/eltec, accessed on 29 January 2022).…”

Section: Datasetmentioning

confidence: 99%

Parallel Stylometric Document Embeddings with Deep Learning Based Language Models in Literary Authorship Attribution

et al. 2022

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This paper explores the effectiveness of parallel stylometric document embeddings in solving the authorship attribution task by testing a novel approach on literary texts in 7 different languages, totaling in 7051 unique 10,000-token chunks from 700 PoS and lemma annotated documents. We used these documents to produce four document embedding models using Stylo R package (word-based, lemma-based, PoS-trigrams-based, and PoS-mask-based) and one document embedding model using mBERT for each of the seven languages. We created further derivations of these embeddings in the form of average, product, minimum, maximum, and l2 norm of these document embedding matrices and tested them both including and excluding the mBERT-based document embeddings for each language. Finally, we trained several perceptrons on the portions of the dataset in order to procure adequate weights for a weighted combination approach. We tested standalone (two baselines) and composite embeddings for classification accuracy, precision, recall, weighted-average, and macro-averaged F1-score, compared them with one another and have found that for each language most of our composition methods outperform the baselines (with a couple of methods outperforming all baselines for all languages), with or without mBERT inputs, which are found to have no significant positive impact on the results of our methods.

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In search of comity: TEI for distant reading

Cited by 7 publications

References 11 publications

TEI and Git in ParlaMint: Collaborative Development of Language Resources

TEI and Git in ParlaMint: Collaborative Development of Language Resources

Between corpora, tools and authority files

Parallel Stylometric Document Embeddings with Deep Learning Based Language Models in Literary Authorship Attribution

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