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Found 6 papers, 2 papers with code
Neural Networks for Cross-domain Language Identification. Phlyers @Vardial 2022
We present our contribution to the Identification of Languages and Dialects of Italy shared task (ITDI) proposed in the VarDial Evaluation Campaign 2022, which asked participants to automatically identify the language of a text associated to one of the language varieties of Italy.
Comparing the Performance of CNNs and Shallow Models for Language Identification
In this work we compare the performance of convolutional neural networks and shallow models on three out of the four language identification shared tasks proposed in the VarDial Evaluation Campaign 2021.
Discriminating between standard Romanian and Moldavian tweets using filtered character ngrams
Our best model reached an F1 score of 0. 715 on the evaluation dataset of tweets, and 0. 667 on the held-out test dataset.
WikiTalkEdit: A Dataset for modeling Editors' behaviors on Wikipedia
We show how the data supports the classic understanding of style matching, where positive emotion and the use of first-person pronouns predict a positive emotional change in a Wikipedia contributor.
Modeling Markedness with a Split-and-Merger Model of Sound Change
The concept of {`}markedness{'} has been influential in phonology for almost a century.
Machine Learning Models of Universal Grammar Parameter Dependencies
The use of parameters in the description of natural language syntax has to balance between the need to discriminate among (sometimes subtly different) languages, which can be seen as a cross-linguistic version of Chomsky{'}s (1964) descriptive adequacy, and the complexity of the acquisition task that a large number of parameters would imply, which is a problem for explanatory adequacy.
