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VarDial - 2017
Total Papers:- 27
Total Papers accross all years:- 194
Total Citations :- 349
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Findings of the VarDial Evaluation Campaign 2017
Marcos Zampieri |
Shervin Malmasi |
Nikola Ljubešić |
Preslav Nakov |
Ahmed Ali |
Jörg Tiedemann |
Yves Scherrer |
Noëmi Aepli |
Arabic Dialect Identification Using iVectors and ASR Transcripts
Shervin Malmasi |
Marcos Zampieri |
Learning to Identify Arabic and German Dialects using Multiple Kernels
Radu Tudor Ionescu |
Andrei Butnaru |
Improving the Character Ngram Model for the DSL Task with BM25 Weighting and Less Frequently Used Feature Sets
Yves Bestgen |
German Dialect Identification in Interview Transcriptions
Shervin Malmasi |
Marcos Zampieri |
When Sparse Traditional Models Outperform Dense Neural Networks: the Curious Case of Discriminating between Similar Languages
Maria Medvedeva |
Martin Kroon |
Barbara Plank |
Exploring Lexical and Syntactic Features for Language Variety Identification
Chris van der Lee |
Antal van den Bosch |
Tübingen system in VarDial 2017 shared task: experiments with language identification and cross-lingual parsing
Çağrı Çöltekin |
Taraka Rama |
CLUZH at VarDial GDI 2017: Testing a Variety of Machine Learning Tools for the Classification of Swiss German Dialects
Simon Clematide |
Peter Makarov |
Discriminating between Similar Languages using Weighted Subword Features
Adrien Barbaresi |
Evaluating HeLI with Non-Linear Mappings
Tommi Jauhiainen |
Krister Lindén |
Heidi Jauhiainen |
A Perplexity-Based Method for Similar Languages Discrimination
Pablo Gamallo |
Jose Ramom Pichel |
Iñaki Alegria |
Why Catalan-Spanish Neural Machine Translation? Analysis, comparison and combination with standard Rule and Phrase-based technologies
Marta R. Costa-jussà |
Identifying dialects with textual and acoustic cues
Abualsoud Hanani |
Aziz Qaroush |
Stephen Taylor |
Cross-lingual dependency parsing for closely related languages - Helsinki’s submission to VarDial 2017
Jörg Tiedemann |
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