Tuesday, May 12, 2020 |
| | Long and Short 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| | A Tool for Facilitating OCR Postediting in Historical Documents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 Technical 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 |
