Add to ORKGThis paper presents the compilation of the DSL corpus collection created for the DSL (Discriminating Similar Languages) shared task to be held at the VarDial workshop at COLING 2014. The DSL corpus collection were merged from three comparable corpora to provide a suitable dataset for automatic classification to discriminate similar languages and language varieties. Along with the description of the DSL corpus collection we also present results of baseline discrimination experiments reporting performance of up to 87.4 % accuracy
The amount of available digital data for the languages of the world is constantly increasing. Unfort...
This paper describes the GW/LT3 contribution to the 2016 VarDial shared task on the identification o...
This paper will focus on automatic methods for quantifying language similarity. This is achieved by ...
The Discriminating between Similar Languages (DSL) shared task at VarDial challenged partici-pants t...
We present the results of the 2nd edition of the Discriminating between Similar Lan-guages (DSL) sha...
We describe the system built by the National Research Council Canada for the \u201dDiscriminating be...
This work is licensed under a Creative Commons Attribution 4.0 International Licence. Page numbers a...
In this paper we describe the language identification system we developed for the Discriminating Sim...
We describe the system built by the National Research Council Canada for the ”Discriminating between...
Language identification is an important first step in many IR and NLP applications. Most publicly av...
This paper reports on the efforts of twelve national teams in building the International Comparable ...
This paper reports on the efforts of twelve national teams in building the International Comparable ...
We present the results of the VarDial Evaluation Campaign on Natural Language Processing (NLP) for S...
This paper presents a novel neural architecture capable of outperforming state-of-the-art systems on...
ISBN 978-1-945626-43-2International audienceThe present contribution revolves around a contrastive s...
The amount of available digital data for the languages of the world is constantly increasing. Unfort...
This paper describes the GW/LT3 contribution to the 2016 VarDial shared task on the identification o...
This paper will focus on automatic methods for quantifying language similarity. This is achieved by ...
The Discriminating between Similar Languages (DSL) shared task at VarDial challenged partici-pants t...
We present the results of the 2nd edition of the Discriminating between Similar Lan-guages (DSL) sha...
We describe the system built by the National Research Council Canada for the \u201dDiscriminating be...
This work is licensed under a Creative Commons Attribution 4.0 International Licence. Page numbers a...
In this paper we describe the language identification system we developed for the Discriminating Sim...
We describe the system built by the National Research Council Canada for the ”Discriminating between...
Language identification is an important first step in many IR and NLP applications. Most publicly av...
This paper reports on the efforts of twelve national teams in building the International Comparable ...
This paper reports on the efforts of twelve national teams in building the International Comparable ...
We present the results of the VarDial Evaluation Campaign on Natural Language Processing (NLP) for S...
This paper presents a novel neural architecture capable of outperforming state-of-the-art systems on...
ISBN 978-1-945626-43-2International audienceThe present contribution revolves around a contrastive s...
The amount of available digital data for the languages of the world is constantly increasing. Unfort...
This paper describes the GW/LT3 contribution to the 2016 VarDial shared task on the identification o...
This paper will focus on automatic methods for quantifying language similarity. This is achieved by ...