no code implementations • SLTAT (LREC) 2022 • Athanasia-Lida Dimou, Vassilis Papavassiliou, John McDonald, Theodore Goulas, Kyriaki Vasilaki, Anna Vacalopoulou, Stavroula-Evita Fotinea, Eleni Efthimiou, Rosalee Wolfe
One major goal of the project is the direct involvement of sign language (SL) users at every stage of development of the project’s signing avatar.
no code implementations • LREC 2022 • Dimitrios Roussis, Vassilis Papavassiliou, Prokopis Prokopidis, Stelios Piperidis, Vassilis Katsouros
This paper presents SciPar, a new collection of parallel corpora created from openly available metadata of bachelor theses, master theses and doctoral dissertations hosted in institutional repositories, digital libraries of universities and national archives.
no code implementations • LREC 2022 • Dimitrios Roussis, Vassilis Papavassiliou, Sokratis Sofianopoulos, Prokopis Prokopidis, Stelios Piperidis
This paper presents a collection of parallel corpora generated by exploiting the COVID-19 related dataset of metadata created with the Europe Media Monitor (EMM) / Medical Information System (MediSys) processing chain of news articles.
no code implementations • 14 Nov 2022 • Francisco Casacuberta, Alexandru Ceausu, Khalid Choukri, Miltos Deligiannis, Miguel Domingo, Mercedes García-Martínez, Manuel Herranz, Guillaume Jacquet, Vassilis Papavassiliou, Stelios Piperidis, Prokopis Prokopidis, Dimitris Roussis, Marwa Hadj Salah
This work presents the results of the machine translation (MT) task from the Covid-19 MLIA @ Eval initiative, a community effort to improve the generation of MT systems focused on the current Covid-19 crisis.
no code implementations • WS 2018 • Vassilis Papavassiliou, Sokratis Sofianopoulos, Prokopis Prokopidis, Stelios Piperidis
We also discuss alternative methods for ranking the sentence pairs of the most appropriate clusters with the aim of generating the two datasets (of 10 and 100 million words as required in the task) that were evaluated.
no code implementations • LREC 2016 • Prokopis Prokopidis, Vassilis Papavassiliou, Stelios Piperidis
We present a new collection of multilingual corpora automatically created from the content available in the Global Voices websites, where volunteers have been posting and translating citizen media stories since 2004.
no code implementations • EAMT 2016 • Antonio Toral, Tommi A. Pirinen, Andy Way, Gema Ram{\'\i}rez-S{\'a}nchez, Sergio Ortiz Rojas, Raphael Rubino, Miquel Espl{\`a}, Mikel L. Forcada, Vassilis Papavassiliou, Prokopis Prokopidis, Nikola Ljube{\v{s}}i{\'c}
no code implementations • LREC 2014 • Miquel Espl{\`a}-Gomis, Filip Klubi{\v{c}}ka, Nikola Ljube{\v{s}}i{\'c}, Sergio Ortiz-Rojas, Vassilis Papavassiliou, Prokopis Prokopidis
We used both tools for crawling 21 multilingual websites from the tourism domain to build a domain-specific English―Croatian parallel corpus.