📰 VarDial 2018: all accepted papers

33 papers · the most cited first · ← VarDial 2018

1. A High Coverage Method for Automatic False Friends Detection for Spanish and Portuguese ↗Santiago Castro, Jairo Bonanata, Aiala Rosá
2. A Neural Approach to Language Variety Translation ↗Marta R. Costa-jussà, Marcos Zampieri, Santanu Pal
3. Birzeit Arabic Dialect Identification System for the 2018 VarDial ChallengeRabee Naser, Abualsoud Hananiour summary
4. Character Level Convolutional Neural Network for Arabic Dialect Identification ↗Mohamed Ali
5. Character Level Convolutional Neural Network for German Dialect Identification ↗Mohamed Ali
6. Character Level Convolutional Neural Network for Indo-Aryan Language Identification ↗Mohamed Ali
7. Comparing CRF and LSTM performance on the task of morphosyntactic tagging of non-standard varieties of South Slavic languages ↗Nikola Ljubešić
8. Computationally efficient discrimination between language varieties with large feature vectors and regularized classifiers ↗Adrien Barbaresi
9. Deep Models for Arabic Dialect Identification on Benchmarked Data ↗Mohamed Elaraby, Muhammad Abdul-Mageed
10. Discriminating between Indo-Aryan Languages Using SVM Ensembles ↗Alina Maria Ciobanu, Marcos Zampieri, Shervin Malmasi et al.
11. Encoder-Decoder Methods for Text Normalization ↗Massimo Lusetti, Tatyana Ruzsics, Anne Göhring et al.
12. Exploring Classifier Combinations for Language Variety Identification ↗Tim Kreutz, Walter Daelemans
13. German Dialect Identification Using Classifier Ensembles ↗Alina Maria Ciobanu, Shervin Malmasi, Liviu P. Dinu
14. HeLI-based Experiments in Discriminating Between Dutch and Flemish Subtitles ↗Tommi Jauhiainen, Heidi Jauhiainen, Krister Lindén
15. HeLI-based Experiments in Swiss German Dialect Identification ↗Tommi Jauhiainen, Heidi Jauhiainen, Krister Lindén
16. IIT (BHU) System for Indo-Aryan Language Identification (ILI) at VarDial 2018 ↗Divyanshu Gupta, Gourav Dhakad, Jayprakash Gupta et al.
17. Identification of Differences between Dutch Language Varieties with the VarDial2018 Dutch-Flemish Subtitle Data ↗Hans van Halteren, Nelleke Oostdijk
18. Iterative Language Model Adaptation for Indo-Aryan Language Identification ↗Tommi Jauhiainen, Heidi Jauhiainen, Krister Lindén
19. Language Identification and Morphosyntactic Tagging: The Second VarDial Evaluation CampaignMarcos Zampieri, Shervin Malmasi, Preslav Nakov et al.our summary
20. Language and the Shifting Sands of Domain, Space and Time (Invited Talk) ↗Timothy Baldwin
21. Measuring language distance among historical varieties using perplexity. Application to European Portuguese. ↗Jose Ramom Pichel Campos, Pablo Gamallo, Iñaki Alegria
22. Neural Network Architectures for Arabic Dialect Identification ↗Elise Michon, Minh Quang Pham, Josep Crego et al.
23. Paraphrastic Variance between European and Brazilian Portuguese ↗Anabela Barreiro, Cristina Mota
24. Part of Speech Tagging in Luyia: A Bantu Macrolanguage ↗Kenneth Steimel
25. STEVENDU2018's system in VarDial 2018: Discriminating between Dutch and Flemish in Subtitles ↗Steven Du, Yuan Yuan Wang
26. Sub-label dependencies for Neural Morphological Tagging – The Joint Submission of University of Colorado and University of Helsinki for VarDial 2018 ↗Miikka Silfverberg, Senka Drobac
27. Transfer Learning for British Sign Language Modelling ↗Boris Mocialov, Helen Hastie, Graham Turner
28. Twist Bytes - German Dialect Identification with Data Mining Optimization ↗Fernando Benites, Ralf Grubenmann, Pius von Däniken et al.
29. Tübingen-Oslo Team at the VarDial 2018 Evaluation Campaign: An Analysis of N-gram Features in Language Variety Identification ↗Çağrı Çöltekin, Taraka Rama, Verena Blaschke
30. UnibucKernel Reloaded: First Place in Arabic Dialect Identification for the Second Year in a Row ↗Andrei Butnaru, Radu Tudor Ionescu
31. Using Neural Transfer Learning for Morpho-syntactic Tagging of South-Slavic Languages Tweets ↗Sara Meftah, Nasredine Semmar, Fatiha Sadat et al.
32. Varying image description tasks: spoken versus written descriptions ↗Emiel van Miltenburg, Ruud Koolen, Emiel Krahmer
33. When Simple n-gram Models Outperform Syntactic Approaches: Discriminating between Dutch and Flemish ↗Martin Kroon, Masha Medvedeva, Barbara Plank

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