1 code implementation • 30 Nov 2020 • Ondřej Pražák, Pavel Přibáň, Stephen Taylor
In this paper, we describe our method for detection of lexical semantic change (i. e., word sense changes over time) for the DIACR-Ita shared task, where we ranked $1^{st}$.
1 code implementation • SEMEVAL 2020 • Ondřej Pražák, Pavel Přibáň, Stephen Taylor, Jakub Sido
Our method was created for the SemEval 2020 Task 1: \textit{Unsupervised Lexical Semantic Change Detection.}
no code implementations • WS 2019 • Pavel P{\v{r}}ib{\'a}{\v{n}}, Stephen Taylor
In this paper, we present our systems for the MADAR Shared Task: Arabic Fine-Grained Dialect Identification.
no code implementations • WS 2017 • Abualsoud Hanani, Aziz Qaroush, Stephen Taylor
We describe several systems for identifying short samples of Arabic or Swiss-German dialects, which were prepared for the shared task of the 2017 DSL Workshop (Zampieri et al., 2017).
no code implementations • WS 2016 • Abualsoud Hanani, Aziz Qaroush, Stephen Taylor
We describe several systems for identifying short samples of Arabic dialects.