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| "abstract": "These proceedings include the 27 papers presented at the Seventh Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial) 1 , co-located with the 28 th International Conference on Computational Linguistics (COLING). VarDial and COLING were scheduled to take place in Barcelona, Spain, but both were changed to a virtual format due to the COVID-19 outbreak. We are glad to see that VarDial keeps growing in popularity, reaching its seventh edition. Moreover, this year, we received an all-time high number of regular submissions-21 papers-, and we accepted 15 of them to be presented at the workshop. These papers deal with various topics related to the processing of diatopic language variation in both text and speech. This volume includes papers on topics such as automatic speech recognition, corpus building, pre-processing, syntactic parsing, language identification, and machine translation, to name a few. Diversity is innate to VarDial due to its focus on dialects and under-resourced languages. We are happy that the workshop continues to bring together researchers working on different languages, sharing ideas and contributing to advancing the state of the art of NLP for dialects, low-resource languages, and language varieties. This year, we accepted papers dealing with languages such as Armenian, Basque, German, Italian, Kurdish, and Occitan, as well as groups of dialects and low-resource languages from families such as Dravidian, Slavic, and Zaza-Gorani. As in previous years, together with the workshop, we organized another iteration of the popular VarDial Evaluation Campaign with three shared tasks: Romanian Dialect Identification (RDI), Social Media Variety Geolocation (SMG), and Uralic Language Identification (ULI). These tasks addressed important challenges in dialect and language identification, attracting many teams who submitted runs across the three competitions. Eleven teams prepared system description papers that are included in this volume, along with a report paper summarizing the results and the main findings of the evaluation campaign written by the campaign organizers. Finally, we would like to take this opportunity to thank the amazing VarDial program committee members for their thorough reviews. They have been playing a very important role in making the VarDial workshop series a success and we are fortunate to have them on board. We further thank the VarDial Evaluation Campaign shared task organizers and the participants for their hard work.", |
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| "text": "These proceedings include the 27 papers presented at the Seventh Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial) 1 , co-located with the 28 th International Conference on Computational Linguistics (COLING). VarDial and COLING were scheduled to take place in Barcelona, Spain, but both were changed to a virtual format due to the COVID-19 outbreak. We are glad to see that VarDial keeps growing in popularity, reaching its seventh edition. Moreover, this year, we received an all-time high number of regular submissions-21 papers-, and we accepted 15 of them to be presented at the workshop. These papers deal with various topics related to the processing of diatopic language variation in both text and speech. This volume includes papers on topics such as automatic speech recognition, corpus building, pre-processing, syntactic parsing, language identification, and machine translation, to name a few. Diversity is innate to VarDial due to its focus on dialects and under-resourced languages. We are happy that the workshop continues to bring together researchers working on different languages, sharing ideas and contributing to advancing the state of the art of NLP for dialects, low-resource languages, and language varieties. This year, we accepted papers dealing with languages such as Armenian, Basque, German, Italian, Kurdish, and Occitan, as well as groups of dialects and low-resource languages from families such as Dravidian, Slavic, and Zaza-Gorani. As in previous years, together with the workshop, we organized another iteration of the popular VarDial Evaluation Campaign with three shared tasks: Romanian Dialect Identification (RDI), Social Media Variety Geolocation (SMG), and Uralic Language Identification (ULI). These tasks addressed important challenges in dialect and language identification, attracting many teams who submitted runs across the three competitions. Eleven teams prepared system description papers that are included in this volume, along with a report paper summarizing the results and the main findings of the evaluation campaign written by the campaign organizers. Finally, we would like to take this opportunity to thank the amazing VarDial program committee members for their thorough reviews. They have been playing a very important role in making the VarDial workshop series a success and we are fortunate to have them on board. We further thank the VarDial Evaluation Campaign shared task organizers and the participants for their hard work.", |
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| "content": "<table><tr><td>Serge Sharoff (University of Leeds, United Kingdom)</td></tr><tr><td>Miikka Silfverberg (University of Helsinki, Finland)</td></tr><tr><td>Kiril Simov (Bulgarian Academy of Sciences, Bulgaria)</td></tr><tr><td>Milena Slavcheva (Bulgarian Academy of Sciences, Bulgaria)</td></tr><tr><td>Marko Tadi\u0107 (University of Zagreb, Croatia)</td></tr><tr><td>Liling Tan (Rakuten Institute of Technology, Singapore)</td></tr><tr><td>Joel Tetreault (Dataminr, United States)</td></tr><tr><td>Francis Tyers (Indiana University, United States)</td></tr><tr><td>Taro Watanabe (Google Inc., Japan)</td></tr><tr><td>Pidong Wang (Google Inc., United States)</td></tr><tr><td>Invited Speaker:</td></tr><tr><td>Barbara Plank (IT University of Copenhagen, Denmark)</td></tr><tr><td>vi</td></tr></table>", |
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| "text": "Fatiha Sadat (Universit\u00e9 du Qu\u00e9bec \u00e0 Montr\u00e9al (UQAM), Canada) Tanja Samard\u017ei\u0107 (University of Zurich, Switzerland) Kevin Scannell (Saint Louis University, United States)", |
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| "text": "A Report on the VarDial Evaluation Campaign 2020 Mihaela Gaman, Dirk Hovy, Radu Tudor Ionescu, Heidi Jauhiainen, Tommi Jauhiainen, Krister Lind\u00e9n, Nikola Ljube\u0161i\u0107, Niko Partanen, Christoph Purschke, Yves Scherrer and Marcos Zampieri . . . 1 ASR for Non-standardised Languages with Dialectal Variation: the case of Swiss German Iuliia Nigmatulina, Tannon Kew and Tanja Samardzic . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15", |
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