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Discriminating between Similar Languages and Arabic Dialect Identification: A Report on the Third DSL Shared Task.

S. Malmasi, M. Zampieri, N. Ljubesic, P. Nakov, A. Ali, and J. Tiedemann. VarDial@COLING, page 1-14. The COLING 2016 Organizing Committee, (2016)

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Nikola Nezic University of Stuttgart

Nikola Bursac

Ph. D. Nikola Zisi University of Stuttgart

Nikola Mößner University of Stuttgart

Nikola Kovachev University of Stuttgart

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TweetGeo - A Tool for Collecting, Processing and Analysing Geo-encoded Linguistic Data.N. Ljubesic, T. Samardzic, and C. Derungs. COLING, page 3412-3421. ACL, (2016)Extracting Data from Comparable Corpora.M. Pinnis, N. Ljubesic, D. Stefanescu, I. Skadina, M. Tadic, T. Gornostaja, S. Vintar, and D. Fiser. Using Comparable Corpora for Under-Resourced Areas of Machine Translation, Springer, (2019)Comparing CRF and LSTM performance on the task of morphosyntactic tagging of non-standard varieties of South Slavic languages.N. Ljubesic. VarDial@COLING 2018, page 156-163. Association for Computational Linguistics, (2018)Findings of the VarDial Evaluation Campaign 2017.M. Zampieri, S. Malmasi, N. Ljubesic, P. Nakov, A. Ali, J. Tiedemann, Y. Scherrer, and N. Aepli. VarDial, page 1-15. Association for Computational Linguistics, (2017)Predicting Inflectional Paradigms and Lemmata of Unknown Words for Semi-automatic Expansion of Morphological Lexicons.N. Ljubesic, M. Esplà-Gomis, F. Klubicka, and N. Preradovic. RANLP, page 379-387. RANLP 2015 Organising Committee / ACL, (2015)Dealing with Data Sparseness in SMT with Factured Models and Morphological Expansion: a Case Study on Croatian.V. Sánchez-Cartagena, N. Ljubesic, and F. Klubicka. EAMT, page 354-360. European Association for Machine Translation, (2016)A Global Analysis of Emoji Usage.N. Ljubesic, and D. Fiser. WAC@ACL, page 82-89. Association for Computational Linguistics, (2016)Building a Gold Standard for Event Detection in Croatian.N. Ljubesic, T. Lauc, and D. Boras. LREC, European Language Resources Association, (2010)CoSimLex: A Resource for Evaluating Graded Word Similarity in Context.C. Armendariz, M. Purver, M. Ulcar, S. Pollak, N. Ljubesic, M. Robnik-Sikonja, M. Granroth-Wilding, and K. Vaik. CoRR, (2019)Sesame Street to Mount Sinai: BERT-constrained character-level Moses models for multilingual lexical normalization.Y. Scherrer, and N. Ljubesic. W-NUT, page 465-472. Association for Computational Linguistics, (2021)