📰 VarDial 2016: all accepted papers

31 papers · the most cited first · ← VarDial 2016

1. A Character-level Convolutional Neural Network for Distinguishing Similar Languages and DialectsYonatan Belinkov, James Glassour summary
2. ASIREM Participation at the Discriminating Similar Languages Shared Task 2016 ↗Wafia Adouane, Nasredine Semmar, Richard Johansson
3. Advances in Ngram-based Discrimination of Similar Languages ↗Cyril Goutte, Serge Léger
4. An Unsupervised Morphological Criterion for Discriminating Similar Languages ↗Adrien Barbaresi
5. Arabic Dialect Identification in Speech TranscriptsShervin Malmasi, Marcos Zampieriour summary
6. Arabic Language WEKA-Based Dialect Classifier for Arabic Automatic Speech Recognition TranscriptsAreej Alshutayri, Eric Atwell, Abdulrahman Alosaimy et al.our summary
7. Automatic Detection of Arabicized Berber and Arabic VarietiesWafia Adouane, Nasredine Semmar, Richard Johansson et al.our summary
8. Automatic Verification and Augmentation of Multilingual LexiconsMaryam Aminian, Mohamed Al-Badrashiny, Mona Diabour summary
9. Byte-based Language Identification with Deep Convolutional Networks ↗Johannes Bjerva
10. Classifying ASR Transcriptions According to Arabic DialectAbualsoud Hanani, Aziz Qaroush, Stephen Taylorour summary
11. Comparing Two Basic Methods for Discriminating Between Similar Languages and Varieties ↗Pablo Gamallo, Iñaki Alegria, José Ramom Pichel et al.
12. DSL Shared Task 2016: Perfect Is The Enemy of Good Language Discrimination Through Expectation–Maximization and Chunk-based Language Model ↗Ondřej Herman, Vít Suchomel, Vít Baisa et al.
13. Discriminating Similar Languages with Linear SVMs and Neural Networks ↗Çağrı Çöltekin, Taraka Rama
14. Discriminating between Similar Languages and Arabic Dialect Identification: A Report on the Third DSL Shared TaskShervin Malmasi, Marcos Zampieri, Nikola Ljubešić et al.our summary
15. Discrimination between Similar Languages, Varieties and Dialects using CNN- and LSTM-based Deep Neural NetworksChinnappa Guggillaour summary
16. Enlarging Scarce In-domain English-Croatian Corpus for SMT of MOOCs Using Serbian ↗Maja Popović, Kostadin Cholakov, Valia Kordoni et al.
17. Faster Decoding for Subword Level Phrase-based SMT between Related Languages ↗Anoop Kunchukuttan, Pushpak Bhattacharyya
18. HeLI, a Word-Based Backoff Method for Language Identification ↗Tommi Jauhiainen, Krister Lindén, Heidi Jauhiainen
19. How Many Languages Can a Language Model Model? ↗Robert Östling
20. LSTM Autoencoders for Dialect Analysis ↗Taraka Rama, Çağrı Çöltekin
21. Language Related Issues for Machine Translation between Closely Related South Slavic Languages ↗Maja Popović, Mihael Arčan, Filip Klubička
22. Language and Dialect Discrimination Using Compression-Inspired Language Models ↗Paul McNamee
23. N-gram and Neural Language Models for Discriminating Similar Languages ↗Andre Cianflone, Leila Kosseim
24. Processing Dialectal Arabic: Exploiting Variability and Similarity to Overcome Challenges and Discover OpportunitiesMona Diabour summary
25. QCRI @ DSL 2016: Spoken Arabic Dialect Identification Using Textual FeaturesMohamed Eldesouki, Fahim Dalvi, Hassan Sajjad et al.our summary
26. Romanized Berber and Romanized Arabic Automatic Language Identification Using Machine LearningWafia Adouane, Nasredine Semmar, Richard Johanssonour summary
27. Subdialectal Differences in Sorani Kurdish ↗Shervin Malmasi
28. The GW/LT3 VarDial 2016 Shared Task System for Dialects and Similar Languages Detection ↗Ayah Zirikly, Bart Desmet, Mona Diab
29. Tuning Bayes Baseline for Dialect Detection ↗Hector-Hugo Franco-Penya, Liliana Mamani Sanchez
30. UnibucKernel: An Approach for Arabic Dialect Identification Based on Multiple String KernelsRadu Tudor Ionescu, Marius Popescuour summary
31. Vanilla Classifiers for Distinguishing between Similar Languages ↗Sergiu Nisioi, Alina Maria Ciobanu, Liviu P. Dinu

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