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Papers |
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Dating and Stratifying a Historical Corpus with a Bayesian Mixture Model
Oliver Hellwig |
pp. 1‑9 |
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Automatic Construction of Aramaic-Hebrew Translation Lexicon
Chaya Liebeskind and Shmuel Liebeskind |
pp. 10‑16 |
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Dating Ancient texts: an Approach for Noisy French Documents
Anaëlle Baledent, Nicolas Hiebel and Gaël Lejeune |
pp. 17‑21 |
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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 |
pp. 22‑27 |
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Computerized Forward Reconstruction for Analysis in Diachronic Phonology, and Latin to French Reflex Prediction
Clayton Marr and David R. Mortensen |
pp. 28‑36 |
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Using LatInfLexi for an Entropy-Based Assessment of Predictability in Latin Inflection
Matteo Pellegrini |
pp. 37‑46 |
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A Tool for Facilitating OCR Postediting in Historical Documents
Alberto Poncelas, Mohammad Aboomar, Jan Buts, James Hadley and Andy Way |
pp. 47‑51 |
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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 |
pp. 52‑58 |
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Automatic semantic role labeling in Ancient Greek using distributional semantic modeling
Alek Keersmaekers |
pp. 59‑67 |
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A Thesaurus for Biblical Hebrew
Miriam Azar, Aliza Pahmer and Joshua Waxman |
pp. 68‑73 |
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Word Probability Findings in the Voynich Manuscript
Colin Layfield, Lonneke van der Plas, Michael Rosner and John Abela |
pp. 74‑78 |
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Comparing Statistical and Neural Models for Learning Sound Correspondences
Clémentine Fourrier and Benoît Sagot |
pp. 79‑83 |
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Distributional Semantics for Neo-Latin
Jelke Bloem, Maria Chiara Parisi, Martin Reynaert, Yvette Oortwijn and Arianna Betti |
pp. 84‑93 |
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Latin-Spanish Neural Machine Translation: from the Bible to Saint Augustine
Eva Martínez Garcia and Álvaro García Tejedor |
pp. 94‑99 |
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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 |
pp. 100‑104 |
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Overview of the EvaLatin 2020 Evaluation Campaign
Rachele Sprugnoli, Marco Passarotti, Flavio Massimiliano Cecchini and Matteo Pellegrini |
pp. 105‑110 |
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Data-driven Choices in Neural Part-of-Speech Tagging for Latin
Geoff Bacon |
pp. 111‑113 |
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JHUBC’s Submission to LT4HALA EvaLatin 2020
Winston Wu and Garrett Nicolai |
pp. 114‑118 |
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A Gradient Boosting-Seq2Seq System for Latin POS Tagging and Lemmatization
Celano Giuseppe |
pp. 119‑123 |
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UDPipe at EvaLatin 2020: Contextualized Embeddings and Treebank Embeddings
Milan Straka and Jana Straková |
pp. 124‑129 |
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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 |
pp. 130‑135 |
