[PDF] Top 20 Experiments in Discriminating Similar Languages

... We describe the system built by the Na- tional Research Council (NRC) Canada for the 2015 shared task on Discriminat- ing between similar languages. The NRC system uses various statistical classifiers ... See full document

... closely-related languages for the Discriminating Similar Languages shared task, which is broken into six subtasks, (A) Bosnian, Croatian, and Serbian, (B) Indonesian and Malay, (C) Czech and ... See full document

... To classify the distributed vectors of the combina- tion of words, we used a logistic classifier (Skip- gram + LG (run1)). For that model we employed also an SVM classifier (Skip-gram + SVM (run2)) with radial basis ... See full document

... our experiments the ‘baseline’ SVM model outperformed a number of neural network architectures we have experimented with, and it also obtained the first rank in the test set A of on closed track of the shared ... See full document

... 2016b. Discriminating between Similar Languages and Arabic Dialect Identification: A Report on the Third DSL Shared ...Related Languages, Varieties and Dialects (VarDial), Osaka, ... See full document

... the Discriminating between Similar Languages (DSL) shared task, which was organized as part of the VarDial’2016 workshop at ...very similar lan- guages and language varieties in newswire ... See full document

... distinct languages like English and Spanish do exist (Dunning, 1994), it is still a major problem to distinguish between closely re- lated languages, like Bosnian and Croatian, and language varieties, like ... See full document

... the Discriminating between Similar Languages (DSL) shared task, held at the VarDial 2017 ...14 languages across 6 language groups using a corpus of excerpts of journalistic ...(all ... See full document

... This article describes the systems submitted by the Citius Ixa Imaxin team to the Discriminating Similar Languages Shared Task 2016. The systems are based on two different strategies: classi- ... See full document

... The present contribution revolves around a contrastive subword n-gram model which has been tested in the Discriminating be- tween Similar Languages shared task. I present and discuss the method used ... See full document

... between similar languages is still not a fully solved problem – no known system reaches perfect ...which languages are first classified based on language groups barely improves performance – yet, in ... See full document

... We describe the systems entered by the National Research Council in the 2016 shared task on discriminating similar languages. Like previous years, we relied on character ngram features, and a ... See full document

... Marcos Zampieri, Shervin Malmasi, Preslav Nakov, Ahmed Ali, Suwon Shon, James Glass, Yves Scherrer, Tanja Samardžić, Nikola Ljubešić, Jörg Tiedemann, Chris van der Lee, Stefan Grondelaers, Nelleke Oostdijk, Antal van den ... See full document

... This paper presented the MMS entry to the Discriminating between Similar Languages (DSL) shared task. We submitted three different approaches to deal with the task in hand, and their overall scores ... See full document

... 2016. Discriminating between similar languages and arabic dialect identification: A report on the third dsl shared ...lated Languages, Varieties and Dialects (VarDial), Osaka, ... See full document

... The Discriminating Be- tween Similar Languages (DSL) shared task (Zampieri et ...a similar setup, covering five shared tasks as part of the Second VarDial Evaluation ... See full document

... We submitted predictions with only the flat com- bination for the MRC tasks. Our submissions in this task had an error, causing a shift of labels af- ter a certain index. Despite this shift (with some effort from the ... See full document

... at discriminating between similar languages and national language varieties; whereas Sub-task 2 focuses on Arabic dialect ...12 similar languages and national language varieties using ... See full document

... Meaningful subword features could well give a boost to existing systems, even if they are based on simple extraction methods. In fact, an off-the-shelf Naive Bayes classifier using a contrastive word and subword n-gram ... See full document

... A good example of all said above is Molda- vian language, which has been declared the offi- cial language with the new Moldovan Cyrillic alphabet due to political changes (appearance of Moldavian Republic as a part of ... See full document