VarDial 2016 Website | COLING 2016 Website | ACL

Third Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial3)


Monday, December 12, 2016

9.10–9.30Discriminating between Similar Languages and Arabic Dialect Identification: A Report on the Third DSL Shared Task
Shervin Malmasi, Marcos Zampieri, Nikola Ljubešić, Preslav Nakov, Ahmed Ali and Jörg Tiedemann
9.30–10.00Discriminating Similar Languages with Linear SVMs and Neural Networks
Çağrı Çöltekin and Taraka Rama
10.00–10.30LSTM Autoencoders for Dialect Analysis
Taraka Rama and Çağrı Çöltekin
10.30–11.00The GW/LT3 VarDial 2016 Shared Task System for Dialects and Similar Languages Detection
Ayah Zirikly, Bart Desmet and Mona Diab
11.00–12.00Invited talk 1
 Processing Dialectal Arabic: Exploiting Variability and Similarity to Overcome Challenges and Discover Opportunities
Mona Diab
13.45–14.15Language Related Issues for Machine Translation between Closely Related South Slavic Languages
Maja Popović, Mihael Arcan and Filip Klubička
14.15–14.45Romanized Berber and Romanized Arabic Automatic Language Identification Using Machine Learning
Wafia Adouane, Nasredine Semmar and Richard Johansson
14.45–15.45Invited talk 2
 How Many Languages Can a Language Model Model?
Robert Östling
15.45–17.00Poster Session
 Automatic Detection of Arabicized Berber and Arabic Varieties
Wafia Adouane, Nasredine Semmar, Richard Johansson and Victoria Bobicev
 Automatic Verification and Augmentation of Multilingual Lexicons
Maryam Aminian, Mohamed Al-Badrashiny and Mona Diab
 Faster Decoding for Subword Level Phrase-based SMT between Related Languages
Anoop Kunchukuttan and Pushpak Bhattacharyya
 Subdialectal Differences in Sorani Kurdish
Shervin Malmasi
 Enlarging Scarce In-domain English-Croatian Corpus for SMT of MOOCs Using Serbian
Maja Popović, Kostadin Cholakov, Valia Kordoni and Nikola Ljubešić
 Arabic Dialect Identification in Speech Transcripts
Shervin Malmasi and Marcos Zampieri
 DSL Shared Task 2016: Perfect Is The Enemy of Good Language Discrimination Through Expectation–Maximization and Chunk-based Language Model
Ondřej Herman, Vit Suchomel, Vít Baisa and Pavel Rychlý
 Byte-based Language Identification with Deep Convolutional Networks
Johannes Bjerva
 Classifying ASR Transcriptions According to Arabic Dialect
Abualsoud Hanani, Aziz Qaroush and Stephen Taylor
 UnibucKernel: An Approach for Arabic Dialect Identification Based on Multiple String Kernels
Radu Tudor Ionescu and Marius Popescu
 A Character-level Convolutional Neural Network for Distinguishing Similar Languages and Dialects
Yonatan Belinkov and James Glass
 HeLI, a Word-Based Backoff Method for Language Identification
Tommi Jauhiainen, Krister Lindén and Heidi Jauhiainen
 ASIREM Participation at the Discriminating Similar Languages Shared Task 2016
Wafia Adouane, Nasredine Semmar and Richard Johansson
 Comparing Two Basic Methods for Discriminating Between Similar Languages and Varieties
Pablo Gamallo, Iñaki Alegria, José Ramom Pichel and Manex Agirrezabal
 Advances in Ngram-based Discrimination of Similar Languages
Cyril Goutte and Serge Léger
 Discrimination between Similar Languages, Varieties and Dialects using CNN- and LSTM-based Deep Neural Networks
Chinnappa Guggilla
 Language and Dialect Discrimination Using Compression-Inspired Language Models
Paul McNamee
 Arabic Language WEKA-Based Dialect Classifier for Arabic Automatic Speech Recognition Transcripts
Areej Alshutayri, Eric Atwell, Abdulrahman Alosaimy, James Dickins, Michael Ingleby and Janet Watson
 An Unsupervised Morphological Criterion for Discriminating Similar Languages
Adrien Barbaresi
 QCRI @ DSL 2016: Spoken Arabic Dialect Identification Using Textual Features
Mohamed Eldesouki, Fahim Dalvi, Hassan Sajjad and Kareem Darwish
 Tuning Bayes Baseline for Dialect Detection
Hector-Hugo Franco-Penya and Liliana Mamani Sanchez
 Vanilla Classifiers for Distinguishing between Similar Languages
Sergiu Nisioi, Alina Maria Ciobanu and Liviu P. Dinu
 N-gram and Neural Language Models for Discriminating Similar Languages
Andre Cianflone and Leila Kosseim