Friday, June 7, 2019 |
| 9:15–9:30 | Opening |
| 9:30–10:00 | A Report on the Third VarDial Evaluation Campaign
Marcos Zampieri, Shervin Malmasi, Yves Scherrer, Tanja Samardzic, Francis Tyers, Miikka Silfverberg, Natalia Klyueva, Tung-Le Pan, Chu-Ren Huang, Radu Tudor Ionescu, Andrei M. Butnaru and Tommi Jauhiainen |
| 10:00–10:30 | Improving Cuneiform Language Identification with BERT
Gabriel Bernier-Colborne, Cyril Goutte and Serge Leger |
| 10:30–11:00 | Coffee break |
| 11:00–11:30 | Joint Approach to Deromanization of Code-mixed Texts
Rashed Rubby Riyadh and Grzegorz Kondrak |
| 11:30–12:00 | Char-RNN for Word Stress Detection in East Slavic Languages
Ekaterina Chernyak, Maria Ponomareva and Kirill Milintsevich |
| 12:00–12:30 | Modeling Global Syntactic Variation in English Using Dialect Classification
Jonathan Dunn |
| 12:30–14:00 | Lunch |
| 14:00–15:00 | Invited talk — David Yarowsky (Johns Hopkins University): Massively Multilingual Translingual Knowledge Transfer |
| 15:00–15:30 | Language Discrimination and Transfer Learning for Similar Languages: Experiments with Feature Combinations and Adaptation
Nianheng Wu, Eric DeMattos, Kwok Him So, Pin-zhen Chen and Çağrı Çöltekin |
| 15:30–16:00 | Coffee break |
| 16:00–17:00 | Poster Session |
| | Variation between Different Discourse Types: Literate vs. Oral
Katrin Ortmann and Stefanie Dipper |
| | Neural Machine Translation between Myanmar (Burmese) and Rakhine (Arakanese)
Thazin Myint Oo, Ye Kyaw Thu and Khin Mar Soe |
| | Language and Dialect Identification of Cuneiform Texts
Tommi Jauhiainen, Heidi Jauhiainen, Tero Alstola and Krister Lindén |
| | Leveraging Pretrained Word Embeddings for Part-of-Speech Tagging of Code Switching Data
Fahad AlGhamdi and Mona Diab |
| | Toward a deep dialectological representation of Indo-Aryan
Chundra Cathcart |
| | Naive Bayes and BiLSTM Ensemble for Discriminating between Mainland and Taiwan Variation of Mandarin Chinese
Li Yang and Yang Xiang |
| | BAM: A combination of deep and shallow models for German Dialect Identification.
Andrei M. Butnaru |
| | The R2I_LIS Team Proposes Majority Vote for VarDial’s MRC Task
Adrian-Gabriel Chifu |
| | Initial Experiments In Cross-Lingual Morphological Analysis Using Morpheme Segmentation
Vladislav Mikhailov, Lorenzo Tosi, Anastasia Khorosheva and Oleg Serikov |
| | Neural and Linear Pipeline Approaches to Cross-lingual Morphological Analysis
Çağrı Çöltekin and Jeremy Barnes |
| | Ensemble Methods to Distinguish Mainland and Taiwan Chinese
Hai Hu, Wen Li, He Zhou, Zuoyu Tian, Yiwen Zhang and Liang Zou |
| | SC-UPB at the VarDial 2019 Evaluation Campaign: Moldavian vs. Romanian Cross-Dialect Topic Identification
Cristian Onose, Dumitru-Clementin Cercel and Stefan Trausan-Matu |
| | Discriminating between Mandarin Chinese and Swiss-German varieties using adaptive language models
Tommi Jauhiainen, Krister Lindén and Heidi Jauhiainen |
| | Investigating Machine Learning Methods for Language and Dialect Identification of Cuneiform Texts
Ehsan Doostmohammadi and Minoo Nassajian |
| | TwistBytes - Identification of Cuneiform Languages and German Dialects at VarDial 2019
Fernando Benites, Pius von Däniken and Mark Cieliebak |
| | DTeam @ VarDial 2019: Ensemble based on skip-gram and triplet loss neural networks for Moldavian vs. Romanian cross-dialect topic identification
Diana Tudoreanu |
| | Experiments in Cuneiform Language Identification
Gustavo Henrique Paetzold and Marcos Zampieri |
| 17:00–17:30 | Comparing Pipelined and Integrated Approaches to Dialectal Arabic Neural Machine Translation
Pamela Shapiro and Kevin Duh |
| 17:30–18:00 | Cross-lingual Annotation Projection Is Effective for Neural Part-of-Speech Tagging
Matthias Huck, Diana Dutka and Alexander Fraser |
| 18:00–18:15 | Closing Remarks |