The Digital Classicist Wiki - User contributions [en-gb]

Digital Encyclopedia of Atticism

2023-09-08T19:48:55Z

ChiaraPalladino: Created page with "==Available== https://atticism.eu/ ==Director== Olga Tribulato, Università Ca' Foscari Venezia ==Description== From project website (accessed 2023-09-08): The Digital Encyclopedia of Atticism is one of the research outputs of PURA, a five-year ERC Consolidator project (grant agreement no. 865817), which began in January 2021 at Ca’ Foscari University of Venice. PURA investigates the theories of linguistic purism that were developed in ancient Greek culture, and..."

==Available==

https://atticism.eu/

==Director==

Olga Tribulato, Università Ca' Foscari Venezia

==Description==

From project website (accessed 2023-09-08):

The Digital Encyclopedia of Atticism is one of the research outputs of PURA, a five-year ERC Consolidator project (grant agreement no. 865817), which began in January 2021 at Ca’ Foscari University of Venice. PURA investigates the theories of linguistic purism that were developed in ancient Greek culture, and the way in which they were received in later periods. The focus of our analysis is Atticist lexica, ancient ‘dictionaries’ that collect linguistic features to be cultivated or avoided in correct Greek.

DEA contributes to the three main objectives of PURA:

1. to provide a comprehensive mapping of Atticist purism by analyzing the linguistic theories of Atticist lexica;

2. to study the intellectual and cultural legacy of Atticism in antiquity, the Middle Ages, and the early modern age by charting the history both of the lexica as books and of their authors;

3. to make the theories of these specialist and intricate texts more approachable and accessible outside the traditional format of critical editions.

To fulfil these objectives, the three sections of DEA, all of which are open-access, collect our work on the lexicographic entries in the Atticist lexica and their linguistic history; the major scholars and works of the ancient and Byzantine Atticist debate; and the transmission of the lexica in the medieval and early modern periods. Visit About DEA for more information.

==How to cite==
O. Tribulato (ed.), ''Digital Encyclopedia of Atticism''. Venice, Edizioni Ca’ Foscari, 2022–. e-ISSN 2974-8240.

==See also==
PURA: PURism in Antiquity (https://pric.unive.it/projects/pura/home)

[[category:projects]]
[[category:lexica]]
[[category:manuscripts]]
[[category:commentaries]]

Ugarit

2023-05-25T14:57:58Z

ChiaraPalladino: /* Presentations */

==Available==

* http://ugarit.ialigner.com/

==Author==

* Tariq Yousef

==Description==

Ugarit is an online environment to perform manual translation alignment of texts. It provides an editor where users can import their corpora and align them manually, and publish them immediately in the homepage. The editor enables alignment of two or three texts, and it supports most ancient and Classical languages. Users can perform four levels of alignment: word-to-word (1-1), word-to-phrase (1-N), phrase-to-word (N-1) and phrase-to-phrase (N-N).

The Ugarit homepage provides an interactive reading environment where users can read available aligned texts, click on aligned words to trigger a dynamic lexicon, and search for already aligned words. The reader also provides an automatic transliterator for non-Latin alphabets, basic statistics on published alignments, and two export options (XML or CSV).

The Ugarit database provides training data, in the form of translation pairs, for the development of automated translation alignment models targeted at ancient languages. Most recently, Yousef et al. (2022) have published a transformer-based model that uses Ugarit alignments for fine-tuning in Ancient Greek.

See also: [https://wiki.digitalclassicist.org/Translation_alignment Translation Alignment].

==References==
* Yousef, T., Palladino, C., Shamsian, F., Ferreira, A., & Reis, M. 2022. [http://www.lrec-conf.org/proceedings/lrec2022/pdf/2022.lrec-1.634.pdf An automatic model and Gold Standard for translation alignment of Ancient Greek]. In Proceedings of the Language Resources and Evaluation Conference (pp. 5894–5905). European Language Resources Association.
* Yousef, T., Palladino, C., Wright, D., & Berti, M. 2022. [http://www.lrec-conf.org/proceedings/lrec2022/workshops/LT4HALA/pdf/2022.lt4hala2022-1.14.pdf Automatic Translation Alignment for Ancient Greek and Latin]. In Proceedings of the Second Workshop on Language Technologies for Historical and Ancient Languages (pp. 101–107). European Language Resources Association.
* Palladino, C., Shamsian, F.,& Yousef, T. 2021). Translation Alignment for Historical Language Learning: a Case Study. 1st Annual Conference of Computational Literary Studies. https://doi.org/10.48694/jcls.100
* Yousef T., Palladino C., Shamsian F., & Foradi M. Translation Alignment with Ugarit. 2021. Information, 13(2):65. https://doi.org/10.3390/info13020065
* Palladino, C., Foradi, M.,& Yousef, T. 2021. [http://www.digitalhumanities.org/dhq/vol/15/3/000563/000563.html Translation Alignment for Historical Language Learning: a Case Study]. DHQ: Digital Humanities Quarterly, 15(3).
* Palladino, C. 2020. [https://cuny.manifoldapp.org/read/reading-texts-in-digital-environments-applications-of-translation-alignment-for-classical-language-learning-310daf57-ed21-4150-b5ba-7386399ef905 Reading Texts in Digital Environments: Applications of Translation Alignment for Classical Language Learning]. Journal of Interactive Technology and Pedagogy, 18.
* Yousef, T. 2020. Ugarit, translation alignment visualization. ''OSF Preprints''. Available: https://doi.org/10.31219/osf.io/thsp5.

==Alignment Guidelines and Gold Standards==
* General resource: Available alignment guidelines for ancient and modern languages: https://ugarit.ialigner.com/guidelines.php
* Alignment Gold Standard and Guidelines for Ancient Greek into English, Latin and Portuguese: https://github.com/UgaritAlignment/Alignment-Gold-Standards

==Presentations==
* M. Berti, C. Palladino, D.J. Wright, T. Yousef. 2022. [https://github.com/SunoikisisDC/SunoikisisDC-2021-2022/wiki/SunoikisisDC-Summer-2022-Session-11 Translation Alignment for Ancient Greek and Latin. SunoikisisDC].
* C. Palladino, F. Shamsian, M. Shukhosvili. 2021. [https://github.com/SunoikisisDC/SunoikisisDC-2021-2022/wiki/Translation-and-Text-Alignment Translation and Text Alignment. Sunoikisis Digital Classics Fall 2021.]
* C. Palladino & T. Yousef. 2021. "We want to learn all languages! Applications of translation alignment in digital environments." ''Digital Classics London Seminar.'' Available: https://www.youtube.com/watch?v=R2Ms6yAMZss
* F. Shamsian. 2020. [https://github.com/SunoikisisDC/SunoikisisDC-2019-2020/wiki/Summer2020-Session-6 Summer 2020: Digital classics and learning Greek in Iran]. Sunoikisis Digital Classics session and video, Summer 2020.

==Reviews==
* Sisi Xie. 2023. "Textual Alignment of Res Gestae: Translation in Historical Languages. Commenting on the Ugarit alignment tool." ''Stoa Review'' 2023-01-26. Available: https://blog.stoa.org/archives/4182

[[category:tools]]
[[category:translations]]
[[category:lexica]]

Ugarit

2023-05-25T14:57:19Z

ChiaraPalladino: expanded the entry

==Available==

* http://ugarit.ialigner.com/

==Author==

* Tariq Yousef

==Description==

Ugarit is an online environment to perform manual translation alignment of texts. It provides an editor where users can import their corpora and align them manually, and publish them immediately in the homepage. The editor enables alignment of two or three texts, and it supports most ancient and Classical languages. Users can perform four levels of alignment: word-to-word (1-1), word-to-phrase (1-N), phrase-to-word (N-1) and phrase-to-phrase (N-N).

The Ugarit homepage provides an interactive reading environment where users can read available aligned texts, click on aligned words to trigger a dynamic lexicon, and search for already aligned words. The reader also provides an automatic transliterator for non-Latin alphabets, basic statistics on published alignments, and two export options (XML or CSV).

The Ugarit database provides training data, in the form of translation pairs, for the development of automated translation alignment models targeted at ancient languages. Most recently, Yousef et al. (2022) have published a transformer-based model that uses Ugarit alignments for fine-tuning in Ancient Greek.

See also: [https://wiki.digitalclassicist.org/Translation_alignment Translation Alignment].

==References==
* Yousef, T., Palladino, C., Shamsian, F., Ferreira, A., & Reis, M. 2022. [http://www.lrec-conf.org/proceedings/lrec2022/pdf/2022.lrec-1.634.pdf An automatic model and Gold Standard for translation alignment of Ancient Greek]. In Proceedings of the Language Resources and Evaluation Conference (pp. 5894–5905). European Language Resources Association.
* Yousef, T., Palladino, C., Wright, D., & Berti, M. 2022. [http://www.lrec-conf.org/proceedings/lrec2022/workshops/LT4HALA/pdf/2022.lt4hala2022-1.14.pdf Automatic Translation Alignment for Ancient Greek and Latin]. In Proceedings of the Second Workshop on Language Technologies for Historical and Ancient Languages (pp. 101–107). European Language Resources Association.
* Palladino, C., Shamsian, F.,& Yousef, T. 2021). Translation Alignment for Historical Language Learning: a Case Study. 1st Annual Conference of Computational Literary Studies. https://doi.org/10.48694/jcls.100
* Yousef T., Palladino C., Shamsian F., & Foradi M. Translation Alignment with Ugarit. 2021. Information, 13(2):65. https://doi.org/10.3390/info13020065
* Palladino, C., Foradi, M.,& Yousef, T. 2021. [http://www.digitalhumanities.org/dhq/vol/15/3/000563/000563.html Translation Alignment for Historical Language Learning: a Case Study]. DHQ: Digital Humanities Quarterly, 15(3).
* Palladino, C. 2020. [https://cuny.manifoldapp.org/read/reading-texts-in-digital-environments-applications-of-translation-alignment-for-classical-language-learning-310daf57-ed21-4150-b5ba-7386399ef905 Reading Texts in Digital Environments: Applications of Translation Alignment for Classical Language Learning]. Journal of Interactive Technology and Pedagogy, 18.
* Yousef, T. 2020. Ugarit, translation alignment visualization. ''OSF Preprints''. Available: https://doi.org/10.31219/osf.io/thsp5.

==Alignment Guidelines and Gold Standards==
* General resource: Available alignment guidelines for ancient and modern languages: https://ugarit.ialigner.com/guidelines.php
* Alignment Gold Standard and Guidelines for Ancient Greek into English, Latin and Portuguese: https://github.com/UgaritAlignment/Alignment-Gold-Standards

==Presentations==
* Monica Berti, Chiara Palladino, David Wright, Tariq Yousef. 2022. [https://github.com/SunoikisisDC/SunoikisisDC-2021-2022/wiki/SunoikisisDC-Summer-2022-Session-11 Translation Alignment for Ancient Greek and Latin. SunoikisisDC].
* C. Palladino, F. Shamsian, M. Shukhosvili. 2021. [https://github.com/SunoikisisDC/SunoikisisDC-2021-2022/wiki/Translation-and-Text-Alignment Translation and Text Alignment. Sunoikisis Digital Classics Fall 2021.]
* Chiara Palladino & Tariq Yousef. 2021. "We want to learn all languages! Applications of translation alignment in digital environments." ''Digital Classics London Seminar.'' Available: https://www.youtube.com/watch?v=R2Ms6yAMZss
* Farnoosh Shamsian. 2020. [https://github.com/SunoikisisDC/SunoikisisDC-2019-2020/wiki/Summer2020-Session-6 Summer 2020: Digital classics and learning Greek in Iran]. Sunoikisis Digital Classics session and video, Summer 2020.

==Reviews==
* Sisi Xie. 2023. "Textual Alignment of Res Gestae: Translation in Historical Languages. Commenting on the Ugarit alignment tool." ''Stoa Review'' 2023-01-26. Available: https://blog.stoa.org/archives/4182

[[category:tools]]
[[category:translations]]
[[category:lexica]]

Translation alignment

2023-05-25T14:06:10Z

ChiaraPalladino:

==Description==
Translation Alignment (TA) is a task derived from Natural Language Processing. Fundamentally, it consists in establishing correspondences between texts in different languages, in order to define which parts of a source text correspond to which parts of a second text. When performed across two languages, it is defined as bilingual alignment; when performed across multiple languages, it is defined as multi-lingual alignment.

The task of TA can be performed at various levels of granularity: from entire books to single chapters or sections, up to sentences and individual words. A set of texts aligned at some level is defined as parallel texts or parallel corpora. The output of a TA pipeline is a list of pairs of items (words, sentences, or larger chunks) which are often called Translation Pairs (TPs).

Parallel corpora in modern and ancient languages are used for a variety of purposes, including training machine translation models, but also for automatic bilingual lexicon extraction, corpus linguistics analysis, translation history research, language learning, and cross-lingual annotation projection.

==Methods==

TA is performed automatically, semi-automatically, or entirely manually through annotation. There are several computational methods to perform TA. The first methods, such as IBM developed by Brown et al. (1993) were developed in the 90s, and were based on statistical lexical models. Later, Och and Ney (2003) introduced Giza++, which was considered the state-of-the-art in the field until the advent of transformer-based and neural models.

Transformer-based models for TA exploit multilingual contextualized language models to create accurate alignments, using varoius types of data for fine-tuning. The most recent automatic model for TA in ancient languages was developed by Yousef et al. (2022) for Ancient Greek and modern translations, and it is based on two multilingual contextualized language models, mBERT and XLM-R.

==Software==
* Ugarit (manual alignment editor): http://ugarit.ialigner.com/
* Ugarit Automatic Aligner http://ugarit-aligner.com/
* Alpheios https://alpheios.net/

==Alignment Guidelines and Gold Standards==
* General resource: Available alignment guidelines for ancient and modern languages: https://ugarit.ialigner.com/guidelines.php
* Alignment Gold Standard and Guidelines for Ancient Greek into English, Latin and Portuguese: https://github.com/UgaritAlignment/Alignment-Gold-Standards

==Training==
* Translation and Text Alignment. Chiara Palladino, Farnoosh Shamsian, Maia Shukhosvili. Sunoikisis Digital Classics, Fall 2021, Nov 18 2021. https://github.com/SunoikisisDC/SunoikisisDC-2021-2022/wiki/Translation-and-Text-Alignment
* We want to learn all languages! Applications of translation alignment in digital environments. Chiara Palladino & Tariq Yousef. Digital Classicist London Seminar 2021, June 25 2021. https://www.youtube.com/live/R2Ms6yAMZss?feature=share
* Translation Technologies. Franziska Naether & Chiara Palladino. Sunoikisis Digital Classics, Fall 2020, Nov 26 2020. https://github.com/SunoikisisDC/SunoikisisDC-2020-2021/wiki/8-Translation-Technologies
* Digital classics and learning Greek in Iran. Farnoosh Shamsian. Sunoikisis Digital Classics, Summer 2020, May 14 2020. https://github.com/SunoikisisDC/SunoikisisDC-2019-2020/wiki/Summer2020-Session-6

==Bibliography==
* Brown, P. F., Della Pietra, S. A., Della Pietra, V. J., Mercer, R. L. 1993. The mathematics of statistical machine translation: Parameter estimation. Computational Linguistics, 19(2), 263-311. https://aclanthology.org/J93-2003/
* Kay, M., Röscheisen, M. 1993. Text-translation Alignment. Computational Linguistics, 19(1), 121-142. https://aclanthology.org/J93-1006/
* Och, F. J., Ney, H. 2003. A Systematic Comparison of Various Statistical Alignment Models. Computational Linguistics, 29(1), 19-51. https://aclanthology.org/J03-1002/
* Palladino, C., Shamsian, F., Yousef, T. 2021. Using Parallel Corpora to Evaluate Translations of Ancient Greek Literary Texts. An Application of Text Alignment for Digital Philology Research. Journal of Computational Literary Studies, 1(1). https://doi.org/10.48694/jcls.100
* Palladino, C., Foradi, M., Yousef, T. 2021. Translation Alignment for Historical Language Learning: A Case Study. Digital Humanities Quarterly, 15(3). https://www.proquest.com/scholarly-journals/translation-alignment-historical-language/docview/2603407508/se-2.
* Yousef, T., Palladino, C., Shamsian, F., d'Orange Ferreira, A., Ferreira dos Reis, M. 2022. An Automatic Model and Gold Standard for Translation Alignment of Ancient Greek. Proceedings of the 13th Conference on Language Resources and Evaluation (LREC 2022), Marseille, 20-25 June, pp. 5894-5905. https://aclanthology.org/2022.lrec-1.634/.

[[category:FAQ]]
[[category:translations]]
[[category:NLP]]

Translation alignment

2023-05-25T14:05:05Z

ChiaraPalladino: expanded the entry

Ugarit

2023-05-15T15:56:29Z

ChiaraPalladino:

==Available==

* http://ugarit.ialigner.com/
* See also: Automatic Translation Alignment Tool (BETA version): http://ugarit-aligner.com/

==Author==

* Tariq Yousef

==Description==

Ugarit is a web-based tool for manual translation alignment of parallel texts, whose aim is to build a user interface to create training data in form of translation pairs to be used later for an automatic translation alignment system at word/phrase level. The tool now is widely used as reading environment for parallel texts and a language learning tool.

Recently, a new tool has been created in BETA, which automatically performs translation alignment for Ancient Greek and translations in modern languages.

==References==
* Yousef, T., Palladino, C., Shamsian, F., Ferreira, A., & Reis, M. (2022). [http://www.lrec-conf.org/proceedings/lrec2022/pdf/2022.lrec-1.634.pdf An automatic model and Gold Standard for translation alignment of Ancient Greek]. In Proceedings of the Language Resources and Evaluation Conference (pp. 5894–5905). European Language Resources Association.
* Yousef, T., Palladino, C., Wright, D., & Berti, M. (2022). [http://www.lrec-conf.org/proceedings/lrec2022/workshops/LT4HALA/pdf/2022.lt4hala2022-1.14.pdf Automatic Translation Alignment for Ancient Greek and Latin]. In Proceedings of the Second Workshop on Language Technologies for Historical and Ancient Languages (pp. 101–107). European Language Resources Association.
* Palladino, C., Shamsian, F.,& Yousef, T. (2021). Translation Alignment for Historical Language Learning: a Case Study. 1st Annual Conference of Computational Literary Studies. https://doi.org/10.48694/jcls.100
* Yousef T., Palladino C., Shamsian F., & Foradi M. Translation Alignment with Ugarit. Information. 2022; 13(2):65. https://doi.org/10.3390/info13020065
* Palladino, C., Foradi, M.,& Yousef, T. (2021). [http://www.digitalhumanities.org/dhq/vol/15/3/000563/000563.html Translation Alignment for Historical Language Learning: a Case Study]. DHQ: Digital Humanities Quarterly, 15(3).
* Palladino, C. (2020). [https://cuny.manifoldapp.org/read/reading-texts-in-digital-environments-applications-of-translation-alignment-for-classical-language-learning-310daf57-ed21-4150-b5ba-7386399ef905 Reading Texts in Digital Environments: Applications of Translation Alignment for Classical Language Learning]. Journal of Interactive Technology and Pedagogy, 18.
* Tariq Yousef. 2020. Ugarit, translation alignment visualization. ''OSF Preprints''. Available: https://doi.org/10.31219/osf.io/thsp5.

===Presentations===
* Monica Berti, Chiara Palladino, David Wright, Tariq Yousef. 2022. [https://github.com/SunoikisisDC/SunoikisisDC-2021-2022/wiki/SunoikisisDC-Summer-2022-Session-11 Translation Alignment for Ancient Greek and Latin. SunoikisisDC].
* • C. Palladino, F. Shamsian, M. Shukhosvili. 2021. [https://github.com/SunoikisisDC/SunoikisisDC-2021-2022/wiki/Translation-and-Text-Alignment Translation and Text Alignment. Sunoikisis Digital Classics Fall 2021.]
* Chiara Palladino & Tariq Yousef (2021), "We want to learn all languages! Applications of translation alignment in digital environments." ''Digital Classics London Seminar.'' Available: https://www.youtube.com/watch?v=R2Ms6yAMZss
* Farnoosh Shamsian. 2020. [https://github.com/SunoikisisDC/SunoikisisDC-2019-2020/wiki/Summer2020-Session-6 Summer 2020: Digital classics and learning Greek in Iran]. Sunoikisis Digital Classics session and video, Summer 2020.

===Reviews===
* Sisi Xie. 2023. "Textual Alignment of Res Gestae: Translation in Historical Languages. Commenting on the Ugarit alignment tool." ''Stoa Review'' 2023-01-26. Available: https://blog.stoa.org/archives/4182

[[category:tools]]
[[category:translations]]
[[category:lexica]]

Recogito

2023-05-15T15:49:22Z

ChiaraPalladino:

==Available==
* Deployed version: https://recogito.pelagios.org/
* Github repository: https://github.com/pelagios/recogito2

==Investigative team==
* Project Director: [http://humanities.exeter.ac.uk/classics/staff/lisaksen/ Leif Isaksen], Digital Humanities, University of Exeter
* Community Director: [http://www.open.ac.uk/people/eteb2 Elton Barker], Classical Studies, The Open University
* Technical Director: [http://rsimon.github.io/ Rainer Simon], The Austrian Institute of Technology
* Developer: [https://github.com/andrew01ait Andrew Lindley], The Austrian Institute of Technology
* Community Manager: [http://fabricadesites.fcsh.unl.pt/mercator-e/pau-de-soto/ Pau de Soto], Institut Català d'Arqueologia Clàssica, Barcelona

==Description==
'''Recogito''', an annotation platform for places, part of [[Pelagios|Pelagios Commons]], is a Web-based tool that makes it easy to identify and record the places referred to in historical texts, maps and tables. Recogito has features dedicated to both stages of the annotation workflow:
*i) a geotagging area, for identifying place names in digital texts, tabular documents or high-resolution maps;
*ii) a georesolving area, for mapping those place names to a global gazetteer, supported by an automated suggestion system.

Recogito also provides basic features for cataloguing and managing documents and their metadata, as well as viewing annotations, usage statistics and bulk-downloading annotation data.

==Publications==
* Simon, R., Pilgerstorfer, P., Isaksen, L. and Barker, E. (2014): [http://www.e-perimetron.org/Vol_9_3/Simon_et_al.pdf Towards semi-automatic annotation of toponyms on old maps]. e-Perimetron, 9.3, 105-112 (www.e-perimetron.org).
* Simon, R., Barker, E., de Soto Cañamares, P. and Isaksen, L. (2014): Pelagios 3: Towards the semi-automatic annotation of toponyms in Early Geospatial Documents. In Proceedings of Digital Humanities 2014. Lausanne, Switzerland, July 8-12, 2014.
* Simon, R., Barker, E., Isaksen, L. and de Soto Cañamares, P. (2015): [http://oro.open.ac.uk/43613/1/Simon_et_al.pdf Linking early geospatial documents, one place at a time: annotation of geographic documents with Recogito]. e-Perimetron. 10.2, 49-59. ISSN 1790-3769.

==Project history==
* Recogito has been developed through phases 3 and 6 of the [[Pelagios]] project, with generous funding from The Andrew W. Mellon Foundation (2013-2015; 2016-2018)
* The project was awarded the title of ''Best Digital Humanities Tool'' in the 2018 Digital Humanities Awards

==Presentations==
* Monica Berti, Valeria Vitale (2020), "Web Annotation", '' SunoikisisDC '', [Available: https://www.youtube.com/watch?v=nmNKJ9uQwnw].
* June 17, 2021: [https://github.com/SunoikisisDC/SunoikisisDC-2020-2021/wiki/SunoikisisDC-Summer-2021-Session-10 Annotating Geographical Data with Recogito] (Elton Barker and Valeria Vitale)

==Reviews==
* [https://classicalstudies.org/scs-blog/kilian-mallon/review-recogito-visualizing-mapping-and-annotating-ancient-texts ''Review: Recogito: Visualizing, Mapping, and Annotating Ancient Texts''] Reviewed by Kilian Mallon in Society for Classical Studies Digital Reviews (2019).
* [https://reviewsindh.pubpub.org/pub/recogito/release/5 ''Review: Recogito''] Reviewed by Christy Hyman in Reviews in Digital Humanities, Vol. 1, No. 2 (2020).

==Tutorials==
* Chiara Palladino, [https://www.youtube.com/playlist?list=PLNxRy673BFeCpJN3mrNb9cNJ7CS1ELaL2 Recogito for Beginners (Youtube Playlist)]
* Chiara Palladino, [https://www.youtube.com/playlist?list=PLNxRy673BFeDQ8sWEkMDeAJuBPxqmdXQn Recogito for Pros (Youtube Playlist)]

[[category:Projects]]
[[category:Geography]]
[[category:Crowdsourcing]]
[[category:Linked open data]]
[[category:Openaccess]]
[[category:Opensource]]
[[category:Tools]]

Ugarit

2023-05-15T15:43:12Z

ChiaraPalladino:

==Available==

* http://ugarit.ialigner.com/
* See also: Automatic Translation Alignment Tool: http://ugarit-aligner.com/

==Author==

* Tariq Yousef

==Description==

Ugarit is a web-based tool for manual translation alignment of parallel texts, whose aim is to build a user interface to create training data in form of translation pairs to be used later for an automatic translation alignment system at word/phrase level. The tool now is widely used as reading environment for parallel texts and a language learning tool.

==References==
* Yousef, T., Palladino, C., Shamsian, F., Ferreira, A., & Reis, M. (2022). An automatic model and Gold Standard for translation alignment of Ancient Greek. In Proceedings of the Language Resources and Evaluation Conference (pp. 5894–5905). European Language Resources Association. URL: http://www.lrec-conf.org/proceedings/lrec2022/pdf/2022.lrec-1.634.pdf
* Yousef, T., Palladino, C., Wright, D., & Berti, M. (2022). Automatic Translation Alignment for Ancient Greek and Latin. In Proceedings of the Second Workshop on Language Technologies for Historical and Ancient Languages (pp. 101–107). European Language Resources Association. URL: http://www.lrec-conf.org/proceedings/lrec2022/workshops/LT4HALA/pdf/2022.lt4hala2022-1.14.pdf
* Palladino, C., Shamsian, F.,& Yousef, T. (2021). "Translation Alignment for Historical Language Learning: a Case Study." 1st Annual Conference of Computational Literary Studies. https://doi.org/10.48694/jcls.100
* Yousef T., Palladino C., Shamsian F., & Foradi M. Translation Alignment with Ugarit. Information. 2022; 13(2):65. https://doi.org/10.3390/info13020065
* Palladino, C., Foradi, M.,& Yousef, T. (2021). "Translation Alignment for Historical Language Learning: a Case Study." DHQ: Digital Humanities Quarterly, 15(3).
* Palladino, C. (2020). Reading Texts in Digital Environments: Applications of Translation Alignment for Classical Language Learning
* Tariq Yousef. 2020. "Ugarit, translation alignment visualization." ''OSF Preprints''. Available: https://doi.org/10.31219/osf.io/thsp5

===Presentations===
* Monica Berti, Chiara Palladino, David Wright, Tariq Yousef. 2022. "Translation Alignment for Ancient Greek and Latin." ''SunoikisisDC''. Available: https://github.com/SunoikisisDC/SunoikisisDC-2021-2022/wiki/SunoikisisDC-Summer-2022-Session-11
* Chiara Palladino & Tariq Yousef (2021), "We want to learn all languages! Applications of translation alignment in digital environments." ''Digital Classics London Seminar.'' Available: https://www.youtube.com/watch?v=R2Ms6yAMZss
* Farnoosh Shamsian. 2020. [https://github.com/SunoikisisDC/SunoikisisDC-2019-2020/wiki/Summer2020-Session-6 Summer 2020: Digital classics and learning Greek in Iran]. Sunoikisis Digital Classics session and video, Summer 2020.

===Reviews===
* Sisi Xie. 2023. "Textual Alignment of Res Gestae: Translation in Historical Languages. Commenting on the Ugarit alignment tool." ''Stoa Review'' 2023-01-26. Available: https://blog.stoa.org/archives/4182

[[category:tools]]
[[category:translations]]
[[category:lexica]]

Translation alignment

2023-05-15T15:39:45Z

ChiaraPalladino:

==Description==
Translation alignment is a task derived from one of the most popular applications in Natural Language Processing. It is defined as the comparison of two or more texts in different languages, also called parallel texts or parallel corpora, by means of automated or semi-automated methods. The main purpose is to define which parts of a source text correspond to which parts of a second text. The result is often a list of pairs of items – words, sentences, or larger texts chunks like paragraphs or documents.

==Software==
* Ugarit (manual alignment editor): http://ugarit.ialigner.com/
* Ugarit Automatic Aligner http://ugarit-aligner.com/
* Alpheios https://alpheios.net/

==Alignment Guidelines==
https://ugarit.ialigner.com/guidelines.php

==Training==
* Translation and Text Alignment. Chiara Palladino, Farnoosh Shamsian, Maia Shukhosvili. Sunoikisis Digital Classics, Fall 2021, Nov 18 2021
* We want to learn all languages! Applications of translation alignment in digital environments. Chiara Palladino & Tariq Yousef. Digital Classicist London Seminar 2021, June 25 2021
* Translation Technologies. Franziska Naether & Chiara Palladino. Sunoikisis Digital Classics, Fall 2020, Nov 26 2020
* Digital classics and learning Greek in Iran. Farnoosh Shamsian. Sunoikisis Digital Classics, Summer 2020, May 14 2020

[[category:FAQ]]
[[category:translations]]

Translation alignment

2023-05-15T15:39:27Z

ChiaraPalladino: Created page with "==Description== Translation alignment is a task derived from one of the most popular applications in Natural Language Processing. It is defined as the comparison of two or more texts in different languages, also called parallel texts or parallel corpora, by means of automated or semi-automated methods. The main purpose is to define which parts of a source text correspond to which parts of a second text. The result is often a list of pairs of items – words, sentences, o..."

ORBIS

2016-05-31T16:45:57Z

ChiaraPalladino: /* Description */

==Title==
ORBIS: The Stanford Geospatial Network Model of the Roman World

==Available==
http://orbis.stanford.edu/

==Authors==
* Walter Scheidel (principal investigator)
* Elijah Meeks (technical lead)
* Karl Grossner (web development)

==Description==
From the project webpage

ORBIS: The Stanford Geospatial Network Model of the Roman World reconstructs the time cost and financial expense associated with a wide range of different types of travel in antiquity. The model is based on a simplified version of the giant network of cities, roads, rivers and sea lanes that framed movement across the Roman Empire. It broadly reflects conditions around 200 CE but also covers a few sites and roads created in late antiquity.

Spanning one-ninth of the earth's circumference across three continents, the Roman Empire ruled a quarter of humanity through complex networks of political power, military domination and economic exchange. These extensive connections were sustained by premodern transportation and communication technologies that relied on energy generated by human and animal bodies, winds, and currents.
Conventional maps that represent this world as it appears from space signally fail to capture the severe environmental constraints that governed the flows of people, goods and information. Cost, rather than distance, is the principal determinant of connectivity.
For the first time, ORBIS allows us to express Roman communication costs in terms of both time and expense. By simulating movement along the principal routes of the Roman road network, the main navigable rivers, and hundreds of sea routes in the Mediterranean, Black Sea and coastal Atlantic, this interactive model reconstructs the duration and financial cost of travel in antiquity.
Taking account of seasonal variation and accommodating a wide range of modes and means of transport, ORBIS reveals the true shape of the Roman world and provides a unique resource for our understanding of premodern history.

==Publications==
* List of articles: http://orbis.stanford.edu/#articles
* List of working papers: http://orbis.stanford.edu/#working
* List of presentations: http://orbis.stanford.edu/#presentations

[[category:tools]]
[[category:projects]]
[[category:Geography]]
[[category:Visualisation]]

ORBIS

2016-05-31T16:42:24Z

ChiaraPalladino: /* Authors */

==Title==
ORBIS: The Stanford Geospatial Network Model of the Roman World

==Available==
http://orbis.stanford.edu/

==Authors==
* Walter Scheidel (principal investigator)
* Elijah Meeks (technical lead)
* Karl Grossner (web development)

==Description==
From the project webpage

ORBIS: The Stanford Geospatial Network Model of the Roman World reconstructs the time cost and financial expense associated with a wide range of different types of travel in antiquity. The model is based on a simplified version of the giant network of cities, roads, rivers and sea lanes that framed movement across the Roman Empire. It broadly reflects conditions around 200 CE but also covers a few sites and roads created in late antiquity.

The model consists of 632 sites, most of them urban settlements but also including important promontories and mountain passes, and covers close to 10 million square kilometers (~4 million square miles) of terrestrial and maritime space. 301 sites serve as sea ports. The baseline road network encompasses 84,631 kilometers (52,587 miles) of road or desert tracks, complemented by 28,272 kilometers (17,567 miles) of navigable rivers and canals.

Spanning one-ninth of the earth's circumference across three continents, the Roman Empire ruled a quarter of humanity through complex networks of political power, military domination and economic exchange. These extensive connections were sustained by premodern transportation and communication technologies that relied on energy generated by human and animal bodies, winds, and currents.
Conventional maps that represent this world as it appears from space signally fail to capture the severe environmental constraints that governed the flows of people, goods and information. Cost, rather than distance, is the principal determinant of connectivity.
For the first time, ORBIS allows us to express Roman communication costs in terms of both time and expense. By simulating movement along the principal routes of the Roman road network, the main navigable rivers, and hundreds of sea routes in the Mediterranean, Black Sea and coastal Atlantic, this interactive model reconstructs the duration and financial cost of travel in antiquity.
Taking account of seasonal variation and accommodating a wide range of modes and means of transport, ORBIS reveals the true shape of the Roman world and provides a unique resource for our understanding of premodern history.

==Publications==
* List of articles: http://orbis.stanford.edu/#articles
* List of working papers: http://orbis.stanford.edu/#working
* List of presentations: http://orbis.stanford.edu/#presentations

[[category:tools]]
[[category:projects]]
[[category:Geography]]
[[category:Visualisation]]

ORBIS

2016-05-31T16:41:25Z

ChiaraPalladino: /* Authors */

==Title==
ORBIS: The Stanford Geospatial Network Model of the Roman World

==Available==
http://orbis.stanford.edu/

==Authors==
* Walter Scheidel
* Elijah Meeks
* Karl Grossner
* Noemi Alvarez

==Description==
From the project webpage

ORBIS: The Stanford Geospatial Network Model of the Roman World reconstructs the time cost and financial expense associated with a wide range of different types of travel in antiquity. The model is based on a simplified version of the giant network of cities, roads, rivers and sea lanes that framed movement across the Roman Empire. It broadly reflects conditions around 200 CE but also covers a few sites and roads created in late antiquity.

The model consists of 632 sites, most of them urban settlements but also including important promontories and mountain passes, and covers close to 10 million square kilometers (~4 million square miles) of terrestrial and maritime space. 301 sites serve as sea ports. The baseline road network encompasses 84,631 kilometers (52,587 miles) of road or desert tracks, complemented by 28,272 kilometers (17,567 miles) of navigable rivers and canals.

Spanning one-ninth of the earth's circumference across three continents, the Roman Empire ruled a quarter of humanity through complex networks of political power, military domination and economic exchange. These extensive connections were sustained by premodern transportation and communication technologies that relied on energy generated by human and animal bodies, winds, and currents.
Conventional maps that represent this world as it appears from space signally fail to capture the severe environmental constraints that governed the flows of people, goods and information. Cost, rather than distance, is the principal determinant of connectivity.
For the first time, ORBIS allows us to express Roman communication costs in terms of both time and expense. By simulating movement along the principal routes of the Roman road network, the main navigable rivers, and hundreds of sea routes in the Mediterranean, Black Sea and coastal Atlantic, this interactive model reconstructs the duration and financial cost of travel in antiquity.
Taking account of seasonal variation and accommodating a wide range of modes and means of transport, ORBIS reveals the true shape of the Roman world and provides a unique resource for our understanding of premodern history.

==Publications==
* List of articles: http://orbis.stanford.edu/#articles
* List of working papers: http://orbis.stanford.edu/#working
* List of presentations: http://orbis.stanford.edu/#presentations

[[category:tools]]
[[category:projects]]
[[category:Geography]]
[[category:Visualisation]]

ORBIS

2016-05-31T16:40:32Z

ChiaraPalladino: /* Description */

==Title==
ORBIS: The Stanford Geospatial Network Model of the Roman World

==Available==
http://orbis.stanford.edu/

==Authors==
* Walter Scheidel
* Elijah Meeks

==Description==
From the project webpage

ORBIS: The Stanford Geospatial Network Model of the Roman World reconstructs the time cost and financial expense associated with a wide range of different types of travel in antiquity. The model is based on a simplified version of the giant network of cities, roads, rivers and sea lanes that framed movement across the Roman Empire. It broadly reflects conditions around 200 CE but also covers a few sites and roads created in late antiquity.

The model consists of 632 sites, most of them urban settlements but also including important promontories and mountain passes, and covers close to 10 million square kilometers (~4 million square miles) of terrestrial and maritime space. 301 sites serve as sea ports. The baseline road network encompasses 84,631 kilometers (52,587 miles) of road or desert tracks, complemented by 28,272 kilometers (17,567 miles) of navigable rivers and canals.

Spanning one-ninth of the earth's circumference across three continents, the Roman Empire ruled a quarter of humanity through complex networks of political power, military domination and economic exchange. These extensive connections were sustained by premodern transportation and communication technologies that relied on energy generated by human and animal bodies, winds, and currents.
Conventional maps that represent this world as it appears from space signally fail to capture the severe environmental constraints that governed the flows of people, goods and information. Cost, rather than distance, is the principal determinant of connectivity.
For the first time, ORBIS allows us to express Roman communication costs in terms of both time and expense. By simulating movement along the principal routes of the Roman road network, the main navigable rivers, and hundreds of sea routes in the Mediterranean, Black Sea and coastal Atlantic, this interactive model reconstructs the duration and financial cost of travel in antiquity.
Taking account of seasonal variation and accommodating a wide range of modes and means of transport, ORBIS reveals the true shape of the Roman world and provides a unique resource for our understanding of premodern history.

==Publications==
* List of articles: http://orbis.stanford.edu/#articles
* List of working papers: http://orbis.stanford.edu/#working
* List of presentations: http://orbis.stanford.edu/#presentations

[[category:tools]]
[[category:projects]]
[[category:Geography]]
[[category:Visualisation]]

ORBIS

2016-05-31T16:33:09Z

ChiaraPalladino:

GeoLat

2016-05-31T16:24:58Z

ChiaraPalladino:

==Website==
* http://www.geolat.it (dead link)

==Authors==
* Maurizio Lana
* Timothy Tambassi

==Description==
“Geolat – geography for Latin literature” is a research project in its prototypical startup phase, aimed at making accessible a digital library that contains the works of Latin literature through a query interface of geographic/cartographic type representing the geographic knowledge expressed in Latin texts. The project, whose principal investigator is dr. Maurizio Lana, was developed at the Department of Humanities of the University of Piemonte Orientale, and financially supported by Compagnia di San Paolo.

One of its most innovative aspects is GO!, the geographical ontology, that aims to provide a complete and informative description of the geographical knowledge emerging from Latin literature, and to offer some minimal types of automatic reasoning. It plays a central role in intelligent spatial search on the web and serves as a shared vocabulary for spatial mark-up of Web sources. At this level the places of antiquity will be described with a variety of information - (in particular GPS coordinates, historical, geographical, cultural, etymological, semantic, and temporal annotations). GeoLat also offers URIs for identification of places - we want to build a stable resource, which reliably cites (links) other resources and which can reliably be cited (linked) by other resources. All the resources produced, as the primary sources and the geographic thesaurus and the list of textual annotations that link geographic locations and places text (identified by URI) will be made available on the Web according to the principles of Linked Open Data, and will help to enrich the “Web of Data” with new content.

==Publications==
* GeoLat: Geography for Latin Literature (http://dlib.nyu.edu/awdl/isaw/isaw-papers/7/lana/)
* TEI, Ontologies, Linked Open Data: Geolat and Beyond (https://jtei.revues.org/1365)

[[category:projects]]

Forma Urbis Romae

2016-05-31T16:15:41Z

ChiaraPalladino:

== Forma Urbis Romae ==

== Available ==

* https://web.stanford.edu/group/spatialhistory/cgi-bin/site/project.php?id=1063
* http://formaurbis.stanford.edu/

== Description ==

Using GIS technology and accepted scholarly methods, this multi-disciplinary project intends to create a layered history of Rome by updating Forma Urbis Romae, the cartographic masterpiece of ancient Roman topography published in 1901 by archeologist Rodolfo Lanciani. This extremely accurate map measures 25 by 17 ft and uses an innovative graphic system that represents Rome’s historic urban fabric as a series of transparent layers from ancient to modern. The map remains the standard archeological reference for Rome even though it does not incorporate archeological discoveries uncovered since its original publication 100 years ago.

The end result will highlight the continuity between ancient and modern and reveal how ancient buildings shape subsequent urban form. It will also show the evolution of the archaic city of the hills into the Renaissance city of the flood plain and then the merging of the two into modern urban form. While classicists would find recent scholarship of ancient Rome, anthropologists and urbanists would learn more about the physical transformations of a vibrant city. On the other hand geographers would witness the application of a new tool for describing and assessing the development of the largest city of the ancient world.

== Affiliations ==

Stanford Spatial History Project: http://web.stanford.edu/group/spatialhistory/cgi-bin/site/index.php

[[category:Geography]]
[[category:Institutions]]

Forma Urbis Romae

2016-05-31T16:13:20Z

ChiaraPalladino: /* Website */

== Forma Urbis Romae ==

== Summary ==

Using GIS technology and accepted scholarly methods, this multi-disciplinary project intends to create a layered history of Rome by updating Forma Urbis Romae, the cartographic masterpiece of ancient Roman topography published in 1901 by archeologist Rodolfo Lanciani. This extremely accurate map measures 25 by 17 ft and uses an innovative graphic system that represents Rome’s historic urban fabric as a series of transparent layers from ancient to modern. The map remains the standard archeological reference for Rome even though it does not incorporate archeological discoveries uncovered since its original publication 100 years ago.

The end result will highlight the continuity between ancient and modern and reveal how ancient buildings shape subsequent urban form. It will also show the evolution of the archaic city of the hills into the Renaissance city of the flood plain and then the merging of the two into modern urban form. While classicists would find recent scholarship of ancient Rome, anthropologists and urbanists would learn more about the physical transformations of a vibrant city. On the other hand geographers would witness the application of a new tool for describing and assessing the development of the largest city of the ancient world.

[[category:Geography]]
[[category:Institutions]]

== Website ==

* https://web.stanford.edu/group/spatialhistory/cgi-bin/site/project.php?id=1063
* http://formaurbis.stanford.edu/