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439 results for “greek”
A collection of Sign Language Narations by Virtual Humans in the Greek Sign Language
<p>A collection of Sign Language Narations by Virtual Humans in the Greek Sign Language in the context of the Mastic Pilot of Mingei.</p>
PrescIT_T2EDK00640_Survey_Responses_Greek_language
<p>The dataset includes 430 collected answers from self-reported online distributed questionnaires regarding healthcare professionals views on e-prescription systems in Greece. The survey was conducted in the context of the PrescIT project (https://www.prescit.com/), aiming to elicit end-user requirements for the developed PrescIT e-prescription and clinical decision support platform. The dataset is currently available in the Greek language. </p> <p>Results from the analysis of the dataset have been presented in the following publication:</p> <p>- Grammatikopoulou, M., Lazarou, I., Giannios, G., Kakalou, C.A., Zachariadou, M., Zande, M., Karanikas, H., Thireos, E., Stavropoulos, T.G., Natsiavas, P., Nikolopoulos, S., Kompatsiaris, I., Electronic prescription systems in Greece: a large-scale survey of healthcare professionals’ perceptions. Arch Public Health 82, 68 (2024). https://doi.org/10.1186/s13690-024-01304-6</p>
Sentence-aligned student translations of Crito (Ancient Greek, English, German, Persian)
<p>This dataset is a corpus of five student's translation of Plato's Crito aligned at sentence-level with the original Ancient Greek text, one German translation, and two English translations. The Ancient Greek text is the Burnet edition, made available by Perseus Digital Library. For more information, see: <br> https://www.perseus.tufts.edu/hopper/text?doc=Perseus%3Atext%3A1999.01.0169%3Atext%3DCrito%3Asection%3D43a<br> </p> <p>The details of the eight translations (five Persian, two English, and one German translations) are as follows:</p> <ul> <li>German Translation: The German translation of Schleiermmacher available on Project Gutenberg has been aligned at the sentence level.<br> For more information, see: Plato, F. Schleiermacher, Platons Werke, In der Realschulbuchhandlung, 1809<br> Link to the text on Project Gutenberg:<br> https://www.projekt-gutenberg.org/platon/platowr1/kriton.html<br> </li> <li>English Translations: Two different English translations of "Crito", one by Benjamin Jowett and the other by Harold North Fowler are included in the dataset.<br> For more information on Jowett's translation, see:<br> Plato, H. N. Fowler, W. Lamb, Plato in Twelve Volumes, Vol. 1 translated by Harold North<br> Fowler; Introduction by W.R.M. Lamb, volume 1, Harvard University Press and Wiliam<br> Heinemann Ltd., Cambridge, MA and London, 1966.<br> Fowler's translation on Perseus Digital Library:<br> https://www.perseus.tufts.edu/hopper/text?doc=plat.+crito+43a<br> For more information on Jowett's translation, see:<br> Plato, B. Jowett, Crito, The Internet Classics Archive, Massachusetts Institute of Technology,<br> http://classics.mit.edu/Plato/crito.html.<br> </li> <li>Persian Translations: The dataset consists of five Persian translations by students who have already completed a 30-hour Homeric Greek course. Each translator has translated the text into Persian using treebanks, commentaries, lexicon entries, and English and German translations. The translators themselves aligned the Persian translations to the Greek text at word-level using Ugarit. The alignments are available in their Ugarit profile:<br> Shouresh Assimi: https://ugarit.ialigner.com/userProfile.php?userid=50956<br> Aylar Mahmoudzadeh Sarabi: https://ugarit.ialigner.com/userProfile.php?userid=63464&tgid=9576<br> Nima Mohammadi: https://ugarit.ialigner.com/userProfile.php?userid=52434&tgid=9362<br> Kimia Nikpour: https://ugarit.ialigner.com/userProfile.php?userid=52378<br> Farshid Rahimi: https://ugarit.ialigner.com/userProfile.php?userid=50932&tgid=9727</li> </ul> <p>The group's initial goal was to produce one finalized translation of Crito to Persian, but due to the intriguing variations in the translations and the text's intricacy, it was decided to provide three finalized translations rather than one. The finalized translations will be available in Beyond Translation as part of the Perseus Digital Library under a Creative Commons license. For more information on our final versions of Crito, see: http://beyond-translation.perseus.org</p>
PPAST-GR Dataset: Greek Parliament Proceedings post WWII Analysis and Recognition
<p>The first post-WWII years in Greece were devastating. After a brutal Nazi occupation, the Greek Civil War (1946–1949) erupted. It wrecked the economy and the country’s infrastructure and altered politics and the social fabric for decades to come. For the tense and unstable first years of the conflict (1946–1947), a study of the issues discussed in the Greek parliament could facilitate our understanding of the society at the time. An obstacle is that parliament proceedings are publicly available in a machine-readable form from 1989; before that only scanned images of the original records exist. We show that text recognition followed by natural language processing can unlock this corpus for historical research. Using Transkribus, we trained a text recogniser (1.5% CER) that we applied to 3,156 images from 1946 and 1947. As low-quality recognition is inevitable, we trained a language model on the transcribed text and applied it to recognised text, discarding records with high average cross-entropy. Using information extraction techniques, we sampled speeches that were applauded and we introduce the first quantification of issues that were thus received. All our resources will be made public.</p> <p>Our model is publicly available through the Transkribus platform (http://www.transkribus.org/) under the name "Greek Parliamentary Proceedings 1946".</p>
H2020 Platone Greek Demo State Estimation Results
<p>The dataset contains the results of the simulations of the State Estimation Tool for the Greek Demo of the Platone Project, for two separate instances during a day</p>
Ancient Greek language models
<p>In this repository, we release a series of vector space models of Ancient Greek, trained following different architectures and with different hyperparameter values. </p> <p>Below is a breakdown of all the models released, with an indication of the training method and hyperparameters. The models are split into ‘<strong>Diachronica’ </strong>and ‘<strong>ALP’ </strong>models, according to the published paper they are associated with.</p> <blockquote> <p>[<strong>Diachronica</strong>:] Stopponi, Silvia, Nilo Pedrazzini, Saskia Peels-Matthey, Barbara McGillivray & Malvina Nissim. Forthcoming. Natural Language Processing for Ancient Greek: Design, Advantages, and Challenges of Language Models, <em>Diachronica</em>.</p> <p>[<strong>ALP</strong>:] Stopponi, Silvia, Nilo Pedrazzini, Saskia Peels-Matthey, Barbara McGillivray & Malvina Nissim. 2023. Evaluation of Distributional Semantic Models of Ancient Greek: Preliminary Results and a Road Map for Future Work. <em>Proceedings of the Ancient Language Processing Workshop associated with the 14th International Conference on Recent Advances in Natural Language Processing (RANLP 2023)</em>. 49-58. Association for Computational Linguistics (ACL). https://doi.org/10.26615/978-954-452-087-8.2023_006</p> </blockquote> <h1><em>Diachronica</em> models</h1> <h2>Training data</h2> <p>Diorisis corpus (Vatri & McGillivray 2018). Separate models were trained for:</p> <ol> <li>Classical subcorpus</li> <li>Hellenistic subcorpus</li> <li>Whole corpus</li> </ol> <p>Models are named according to the (sub)corpus they are trained on (i.e. <code>hel_</code> or <code>hellenestic</code> is appended to the name of the models trained on the Hellenestic subcorpus, <code>clas_</code> or <code>classical</code> for the Classical subcorpus, <code>full_</code> for the whole corpus).</p> <h2>Models</h2> <h3><strong><em>Count-based</em></strong></h3> <blockquote> <p>Software used: LSCDetection (Kaiser et al. 2021; <a href="https://github.com/Garrafao/LSCDetection">https://github.com/Garrafao/LSCDetection</a>)</p> </blockquote> <p>a. With Positive Pointwise Mutual Information applied (folder PPMI spaces). For each model, a version trained on each subcorpus after removing stopwords is also included (<code>_stopfilt</code> is appended to the model names). Hyperparameter values: <code>window=5</code>, <code>k=1</code>, <code>alpha=0.75</code>.</p> <p>b. With both Positive Pointwise Mutual Information <em>and</em> dimensionality reduction with Singular Value Decomposition applied (folder PPMI+SVD spaces). For each model, a version trained on each subcorpus after removing stopwords is also included (<code>_stopfilt</code> is appended to the model names). Hyperparameter values: <code>window=5</code>, <code>dimensions=300</code>, <code>gamma=0.0</code>.</p> <h3><strong><em>Word2Vec</em></strong></h3> <blockquote> <p>Software used: CADE (Bianchi et al. 2020; <a href="https://github.com/vinid/cade">https://github.com/vinid/cade</a>).</p> </blockquote> <p>a. Continuous-bag-of-words (CBOW). Hyperparameter values: <code>size=30</code>, <code>siter=5</code>, <code>diter=5</code>, <code>workers=4</code>, <code>sg=0</code>, <code>ns=20</code>.</p> <p>b. Skipgram with Negative Sampling (SGNS). Hyperparameter values: <code>size=30</code>, <code>siter=5</code>, <code>diter=5</code>, <code>workers=4</code>, <code>sg=1</code>, <code>ns=20</code>.</p> <h3><strong><em>Syntactic word embeddings</em></strong></h3> <p>Syntactic word embeddings were also trained on the Ancient Greek subcorpus of the PROIEL treebank (Haug & Jøhndal 2008), the Gorman treebank (Gorman 2020), the PapyGreek treebank (Vierros & Henriksson 2021), the Pedalion treebank (Keersmaekers et al. 2019), and the Ancient Greek Dependency Treebank (Bamman & Crane 2011) largely following the SuperGraph method described in Al-Ghezi & Kurimo (2020) and the Node2Vec architecture (Grover & Leskovec 2016) (see <a href="https://github.com/npedrazzini/ancientgreek-syntactic-embeddings#graph-based-syntactic-word-embeddings">https://github.com/npedrazzini/ancientgreek-syntactic-embeddings</a> for more details). Hyperparameter values: window=1, min_count=1.</p> <h1><em>ALP</em> models</h1> <h2>Training data</h2> <p>Archaic, Classical, and Hellenistic portions of the Diorisis corpus (Vatri & McGillivray 2018) merged, stopwords removed according to the list made by Alessandro Vatri, available at https://figshare.com/articles/dataset/Ancient_Greek_stop_words/9724613.</p> <h2>Models</h2> <h3><strong><em>Count-based</em></strong></h3> <blockquote> <p>Software used: LSCDetection (Kaiser et al. 2021; <a href="https://github.com/Garrafao/LSCDetection">https://github.com/Garrafao/LSCDetection</a>) </p> </blockquote> <p>a. With Positive Pointwise Mutual Information applied (folder ppmi_alp). Hyperparameter values: <code>window=5</code>, <code>k=1</code>, <code>alpha=0.75</code>. Stopwords were removed from the training set.</p> <p>b. With both Positive Pointwise Mutual Information <em>and</em> dimensionality reduction with Singular Value Decomposition applied (folder ppmi_svd_alp). Hyperparameter values: <code>window=5</code>, <code>dimensions=300</code>, <code>gamma=0.0</code>. Stopwords were removed from the training set.</p> <h3><strong><em>Word2Vec</em></strong></h3> <blockquote> <p>Software used: Gensim library (Řehůřek and Sojka, 2010)</p> </blockquote> <p>a. Continuous-bag-of-words (CBOW). Hyperparameter values: <code>size=30</code>, <code>window=5</code>, <code>min_count=5</code>, <code>negative=20</code>, <code>sg=0</code>. Stopwords were removed from the training set.</p> <p>b. Skipgram with Negative Sampling (SGNS). Hyperparameter values: <code>size=30</code>, <code>window=5</code>, <code>min_count=5</code>, <code>negative=20</code>, <code>sg=1</code>. Stopwords were removed from the training set.</p> <h1><strong>References</strong></h1> <p>Al-Ghezi, Ragheb & Mikko Kurimo. 2020. Graph-based syntactic word embeddings. In Ustalov, Dmitry, Swapna Somasundaran, Alexander Panchenko, Fragkiskos D. Malliaros, Ioana Hulpuș, Peter Jansen & Abhik Jana (eds.), <em>Proceedings of the Graph-based Methods for Natural Language Processing (TextGraphs)</em>, 72-78.</p> <p>Bamman, D. & Gregory Crane. 2011. The Ancient Greek and Latin dependency treebanks. In Sporleder, Caroline, Antal van den Bosch & Kalliopi Zervanou (eds.), <em>Language Technology for Cultural Heritage. Selected Papers from the LaTeCH [Language Technology for Cultural Heritage] Workshop Series. Theory and Applications of Natural Language Processing</em>, 79-98. Berlin, Heidelberg: Springer.</p> <p>Gorman, Vanessa B. 2020. Dependency treebanks of Ancient Greek prose. <em>Journal of Open Humanities Data</em> 6(1).</p> <p>Grover, Aditya & Jure Leskovec. 2016. Node2vec: scalable feature learning for networks. In <em>Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD ‘16)</em>, 855-864.</p> <p>Haug, Dag T. T. & Marius L. Jøhndal. 2008. Creating a parallel treebank of the Old Indo-European Bible translations. In <em>Proceedings of the Second Workshop on Language Technology for Cultural Heritage Data (LaTeCH)</em>, 27–34.</p> <p>Keersmaekers, Alek, Wouter Mercelis, Colin Swaelens & Toon Van Hal. 2019. Creating, enriching and valorizing treebanks of Ancient Greek. In Candito, Marie, Kilian Evang, Stephan Oepen & Djamé Seddah (eds.), <em>Proceedings of the 18th International Workshop on Treebanks and Linguistic Theories</em> <em>(TLT, SyntaxFest 2019)</em>, 109-117.</p> <p>Kaiser, Jens, Sinan Kurtyigit, Serge Kotchourko & Dominik Schlechtweg. 2021. Effects of Pre- and Post-Processing on type-based Embeddings in Lexical Semantic Change Detection. In <em>Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics</em>.</p> <p>Schlechtweg, Dominik, Anna Hätty, Marco del Tredici & Sabine Schulte im Walde. 2019. A Wind of Change: Detecting and Evaluating Lexical Semantic Change across Times and Domains. In <em>Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics</em>, 732-746, Florence, Italy. ACL.</p> <p>Vatri, Alessandro & Barbara McGillivray. 2018. The Diorisis Ancient Greek Corpus: Linguistics and Literature. <em>Research Data Journal for the Humanities and Social Sciences</em> 3, 1, 55-65, Available From: Brill <a href="https://doi.org/10.1163/24523666-01000013" target="_blank" rel="noopener">https://doi.org/10.1163/24523666-01000013</a></p> <p>Vierros, Marja & Erik Henriksson. 2021. PapyGreek treebanks: a dataset of linguistically annotated Greek documentary papyri. <em>Journal of Open Humanities Data</em> 7.</p>
Map 1 in On the Staphylinidae of the Greek island Samothraki (Insecta Coleoptera)
Map 1: Geographic position of Samothraki in the Aegean Sea, Greece.
Greek Parliament Proceedings, 1989-2020
<p>This dataset is produced on behalf of <a href="http://www.imedd.org/">iMEdD</a> by PhD Student in Machine Learning <a href="https://orcid.org/0000-0003-3395-2182">Konstantina Dritsa</a>, with the contribution of data journalist and <a href="https://lab.imedd.org/">iMEdD Lab</a> Project Manager <a href="https://devlab.imedd.org/lab-author/%ce%ba%ce%ad%ce%bb%ce%bb%cf%85-%ce%ba%ce%b9%ce%ba%ce%ae/">Kelly Kiki</a>. iMEdD (incubator for Media Education and Development) is a non-profit journalism organisation that supports and promotes transparency, credibility and independence in journalism. Lab is iMEdD’s content production division which publishes original interactive investigative and data-driven stories by experimenting with new forms and tools in journalism. </p> <p>This dataset is the next version of a<a href="https://zenodo.org/record/2587904#.X7fMx80zaUn"> previous upload</a>, which originated from the work implemented during the course of the Master thesis entitled "<a href="http://www.pyxida.aueb.gr/index.php?op=view_object&object_id=6387">Speech quality and sentiment analysis on the Hellenic Parliament proceedings</a>" at the Athens University of Economics & Business in 2018 under the supervision of the Associate Professor <a href="https://orcid.org/0000-0002-3971-4612">Panagiotis Louridas</a>.</p> <p>This dataset includes 1,280,918 speeches (rows) of Greek parliament members with a total volume of 2.4 GB, that were exported from 5,355 parliamentary sitting record files. They extend chronologically from 1989 up to late July 2020. The dataset consists of a .csv file in UTF-8 encoding and includes the following columns of data:</p> <ul> <li> <p><strong>member_name</strong>: the official name of the parliament member who talked during a sitting.</p> </li> <li> <p><strong>sitting_date</strong>: the date that the sitting took place.</p> </li> <li> <p><strong>parliamentary_period</strong>: the name and/or number of the parliamentary period that the speech took place in. A parliamentary period includes multiple parliamentary sessions.</p> </li> <li> <p><strong>parliamentary_session</strong>: the name and/or number of the parliamentary session that the speech took place in. A parliamentary session includes multiple parliamentary sittings.</p> </li> <li> <p><strong>parliamentary_sitting</strong>: the name and/or number of the parliamentary sitting that the speech took place in.</p> </li> <li> <p><strong>political_party</strong>: the political party that the speaker belonged to the moment of their speech.</p> </li> <li> <p><strong>government</strong>: the government in force when the speech took place.</p> </li> <li> <p><strong>member_region</strong>: the electoral district the speaker belonged to.</p> </li> <li> <p><strong>roles</strong>: information about the parliamentary roles and/or government position of the speaker the moment of their speech.</p> </li> <li> <p><strong>member_gender</strong>: the sex of the speaker</p> </li> <li> <p><strong>speech</strong>: the speech that the member made during the parliamentary sitting</p> </li> </ul> <p>The methodology followed for the production of this dataset is described in the iMEdD Lab's article entitled "<a href="https://devlab.imedd.org/i-dimiourgia-tou-dataset-me-ta-koinovouleftika-praktika/">The creation of a dataset with the parliament proceedings within 31 years</a>". Scripts and relevant documentation are available on <a href="https://github.com/iMEdD-Lab/Greek_Parliament_Proceedings">GitHub</a>. </p>
Dataset for the paper "Ideology and identity in grammar: A diachronic-quantitative approach to language standardisation processes in Ancient Greek"
<p>This is the dataset for the paper "Ideology and identity in grammar: A diachronic-quantitative approach to language standardisation processes in Ancient Greek"</p>
Greek stone sculpture panel
Created in RealityCapture by Capturing Reality from 135 images in 00h:10m:48s. Check out more photogrammetry on my page Thanks! Austin Beaulier Source: Objaverse 1.0 / Sketchfab
DAE Villages : Greek Pottery
Ancient Greek pottery. A pottery located on the outskirts of a village . This place where they sell self baked pottery, has been in the hands of a single family for many generations. Rumors are the giant pot on top was created by Hephaestus God of creativity and art . Source: Objaverse 1.0 / Sketchfab
Laginos (greek ancient vase)
Laginos is a Hellenistic type of an ancient wine jug, also known as ''oinochoe'' which is a key form of ancient Greek pottery. It has a flat base, a sharp or more rarely curved shoulder and a circular mouth. Source: Objaverse 1.0 / Sketchfab
Greek Pillar
A version of a pillar I'm making as part of a temple area I'm making for a game. Source: Objaverse 1.0 / Sketchfab
Ancient Greek Amphora
Amphora with scratches, dirt, dust and damaged parts. Typical orange black styled drawing. Textures made in SubstancePainter. Source: Objaverse 1.0 / Sketchfab
Psi - Greek letter
This is a 3D model of psi, which is a character found in the Greek alphabet. Source: Objaverse 1.0 / Sketchfab
Stylized ancient greek catapult
Stylized simple with ancient greek look model. Sampi as the symbol. Source: Objaverse 1.0 / Sketchfab
Greek Kore Marble Statue
A small East Greek marble statue of a kore (girl). Date: 525BC-500BC (circa). Found at Theangela, Turkey. Now located in The British Museum. Photos taken in November 2018 with a Sony a6000 and processed in Agisoft Photoscan. https://www.britishmuseum.org/research/collection_online/collection_object_details.aspx?objectId=462571&partId=1 Source: Objaverse 1.0 / Sketchfab
Greek terracotta female head
Greek terracotta female head with elaborate hairstyle and flat back, height 10.25 cm, Hellenistic (3rd c. BC?). Library display case, Institute of Classical Studies, Senate House, Malet St., London (gift from Mrs. V. J. Dunstanx, Carlisle, 1941) http://catalogue.libraries.london.ac.uk/record=b3492022~S7 Source: Objaverse 1.0 / Sketchfab
Greek Vase
Vaso grego que era usado na época da grécia antiga para lavar os pés dos reis que habitava no castelo, contendo as imagens dos deuses gregos. Zeus, Poseidon e Hades. Contem uma toalha que originalmente com a coloração branca. Mas após que um dos tigres de estimação de um dos reis se voltou contra ele e o matou. A toalha foi usada para enxugar o sangue do rei e desde então ficou com a coloração vermelha. Hoje o vaso fica guardado em um dos castelos inabitáveis em Atenas. Source: Objaverse 1.0 / Sketchfab
The Greeks in the West - mtDNA dataset
<p>This dataset contains mitochondrial DNA data of the HVR-I region (range=16040-16569) of two Greek populations (Euboea island and Corinthia) and three Italian populations (East Sicily, Matera and Cosenza)</p>
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