This article describes the experiments and systems developed by the SUKI team for the second edition of the Romanian Dialect Identification (RDI) shared task which was organized as part of the 2021 VarDial Evaluation Campaign. We submitted two runs to the shared task and our second submission was the overall best submission by a noticeable margin. Our best submission used a character n-gram based naive Bayes classifier with adaptive language models. We describe our experiments on the development set leading to both submissions.Peer reviewe
In this paper, we present the findings of the Third VarDial Evaluation Campaign organized as part of...
This article describes an unsupervised language model (LM) adaptation approach that can be used to e...
This study presents the first Native Language Identification (NLI) study for L2 Portuguese.We used a...
This article describes the experiments and systems developed by the SUKI team for the second edition...
This paper describes the submissions by team HWR to the Dravidian Language Identification (DLI) shar...
This paper presents the results of the VarDial Evaluation Campaign 2020 organized as part of the sev...
This paper describes the GW/LT3 contribution to the 2016 VarDial shared task on the identification o...
This paper presents VarClass, an open-source tool for language identification available both to be d...
| openaire: EC/H2020/780069/EU//MeMADIn this paper, we propose a software toolkit for easier end-to-...
We present the results and the findings of the Second VarDial Evaluation Campaign on Natural Languag...
Our submissions for the GDI 2017 Shared Task are the results from three different types of classifie...
This paper describes three approaches to the task of automatically identifying the language a text i...
Automatic Language Identification of written texts is a well-established area of research in Computa...
The application, developed in C#, automatically identifies the language of a text written in one of ...
Automatic Language Identification (LI) or Dialect Identification (DI) of short texts of closely rela...
In this paper, we present the findings of the Third VarDial Evaluation Campaign organized as part of...
This article describes an unsupervised language model (LM) adaptation approach that can be used to e...
This study presents the first Native Language Identification (NLI) study for L2 Portuguese.We used a...
This article describes the experiments and systems developed by the SUKI team for the second edition...
This paper describes the submissions by team HWR to the Dravidian Language Identification (DLI) shar...
This paper presents the results of the VarDial Evaluation Campaign 2020 organized as part of the sev...
This paper describes the GW/LT3 contribution to the 2016 VarDial shared task on the identification o...
This paper presents VarClass, an open-source tool for language identification available both to be d...
| openaire: EC/H2020/780069/EU//MeMADIn this paper, we propose a software toolkit for easier end-to-...
We present the results and the findings of the Second VarDial Evaluation Campaign on Natural Languag...
Our submissions for the GDI 2017 Shared Task are the results from three different types of classifie...
This paper describes three approaches to the task of automatically identifying the language a text i...
Automatic Language Identification of written texts is a well-established area of research in Computa...
The application, developed in C#, automatically identifies the language of a text written in one of ...
Automatic Language Identification (LI) or Dialect Identification (DI) of short texts of closely rela...
In this paper, we present the findings of the Third VarDial Evaluation Campaign organized as part of...
This article describes an unsupervised language model (LM) adaptation approach that can be used to e...
This study presents the first Native Language Identification (NLI) study for L2 Portuguese.We used a...