LT4HALA 2020
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Due to the COVID-19 pandemic, the workshop will not take place. However, the proceedings are published online.
Accepted Papers
- “Dating and Stratifying a Historical Corpus with a Bayesian Mixture Model” -Oliver Hellwig
- “Automatic Construction of Aramaic-Hebrew Translation Lexicon” -Chaya Liebeskind and Shmuel Liebeskind
- “Dating Ancient texts: an Approach for Noisy French Documents” -Anaëlle Baledent, Nicolas Hiebel and Gaël Lejeune
- “Lemmatization and POS-tagging process by using joint learning approach. Experimental results on Classical Armenian,Old Georgian, and Syriac” -Chahan Vidal-Gorène and Bastien Kindt
- “Computerized Forward Reconstruction for Analysis in Diachronic Phonology, and Latin to French Reflex Prediction” -Clayton Marr and David R. Mortensen
- “Using LatInfLexi for an Entropy-Based Assessment of Predictability in Latin Inflection” -Matteo Pellegrini
- “A Tool for Facilitating OCR Postediting in Historical Documents” -Alberto Poncelas, Mohammad Aboomar, Jan Buts, James Hadley and Andy Way
- “Integration of Automatic Sentence Segmentation and Lexical Analysis of Ancient Chinese based on BiLSTM-CRF Model” -Ning Cheng, Bin Li, Liming Xiao, Changwei Xu, Sijia Ge, Xingyue Hao and Minxuan Feng
- “Automatic semantic role labeling in Ancient Greek using distributional semantic modeling” -Alek Keersmaekers
- “A Thesaurus for Biblical Hebrew” -Miriam Azar, Aliza Pahmer and Joshua Waxman
- “Word Probability Findings in the Voynich Manuscript” -Colin Layfield, Lonneke van der Plas, Michael Rosner and John Abela
- “Comparing Statistical and Neural Models for Learning Sound Correspondences” -Clémentine Fourrier and Benoît Sagot
- “Distributional Semantics for Neo-Latin” -Jelke Bloem, Maria Chiara Parisi, Martin Reynaert, Yvette Oortwijn and Arianna Betti
- “Latin-Spanish Neural Machine Translation: from the Bible to Saint Augustine” -Eva Martínez Garcia and Álvaro García Tejedor
- “Detecting Direct Speech in Multilingual Collection of 19th-century Novels” -Joanna Byszuk, Michał Woźniak, Mike Kestemont, Albert Leśniak, Wojciech Łukasik, Artjoms Šeļa and Maciej Eder
EvaLatin reports
- “Overview of the EvaLatin 2020 Evaluation Campaign” - Rachele Sprugnoli, Marco Passarotti, Flavio Massimiliano Cecchini and Matteo Pellegrini
- “Data-driven Choices in Neural Part-of-Speech Tagging for Latin” - Geoff Bacon
- “JHUBC’s Submission to LT4HALA EvaLatin 2020” - Winston Wu and Garrett Nicolai
- “A Gradient Boosting-Seq2Seq System for Latin POS Tagging and Lemmatization” - Celano Giuseppe
- “UDPipe at EvaLatin 2020: Contextualized Embeddings and Treebank Embeddings” - Milan Straka and Jana Straková
- “Voting for POS tagging of Latin texts: Using the flair of FLAIR to better Ensemble Classifiers by Example of Latin” - Manuel Stoeckel, Alexander Henlein, Wahed Hemati and Alexander Mehler
Cities of affiliation of the authors.
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