no code implementations • ACL (LChange) 2021 • Ana Sabina Uban, Alina Maria Cristea, Anca Dinu, Liviu P. Dinu, Simona Georgescu, Laurentiu Zoicas
To this end, we introduce a new curated dataset of cognates in all pairs of those languages.
no code implementations • RANLP 2021 • Alina Maria Cristea, Anca Dinu, Liviu P. Dinu, Simona Georgescu, Ana Sabina Uban, Laurentiu Zoicas
In this paper we investigate the etymology of Romanian words.
no code implementations • RANLP 2021 • Anca Dinu, Andreea-Codrina Moldovan
The huge amount of data from social media and the recent advances of deep learning models provide valuable means to automatically detecting mental disorders from plain text.
no code implementations • RANLP 2019 • Laura Franzoi, Andrea Sgarro, Anca Dinu, Liviu P. Dinu
In this paper, we present new methods for language classification which put to good use both syntax and fuzzy tools, and are capable of dealing with irrelevant linguistic features (i. e. features which should not contribute to the classification) and even inconsistent features (which do not make sense for specific languages).
no code implementations • RANLP 2017 • Anca Dinu, Liviu P. Dinu, Bogdan Dumitru
In this article we propose a stylistic analysis of Solomon Marcus{'} non-scientific published texts, gathered in six volumes, aiming to uncover some of his quantitative and qualitative fingerprints.
no code implementations • RANLP 2017 • Anca Dinu, Walther von Hahn, Cristina Vertan
Current approaches in Digital . Humanities tend to ignore a central as-pect of any hermeneutic introspection: the intrinsic vagueness of analyzed texts.
no code implementations • LREC 2014 • Anca Dinu, Liviu Dinu, Ionut Sorodoc
These two aggregation methods are especially well suited for the task, since the results of each individual method naturally forms a ranking of collocations.