|
|
|
|
|
Vaidas Petrulis, Brigita Tranaviciute and Paulius Tautvydas Laurinaitis
The architectural heritage directly related to the refugees from Europe who came to the USA as a result of World War II is still an under-researched topic. New post-war arrivals from the displaced persons camps resulted in a sizeable growth of the alread...
ver más
|
|
|
|
|
|
|
|
|
|
|
Lukas Stankevicius, Mantas Luko?evicius, Jurgita Kapociute-Dzikiene, Monika Briediene and Tomas Krilavicius
Due to the fast pace of life and online communications and the prevalence of English and the QWERTY keyboard, people tend to forgo using diacritics, make typographical errors (typos) when typing in other languages. Restoring diacritics and correcting spe...
ver más
|
|
|
|
|
|
|
|
|
|
|
Vilmante Liubiniene, Donata Lisaite and Jurgita Motiejuniene
Technologies offered and used on the Internet play a significant part in the lives of children; nevertheless, little research has been done on how children view and use machine translation (MT). According to recent literature, there are various benefits ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Aliaksei Kolesau and Dmitrij ?e?ok
The proposed way to use unsupervised pre-training in voice activation could be beneficial in cases of limited data resources, e.g., in low-resource domains or for customizing a product for the end user using his or her voice data. Furthermore, the presen...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jurgita Kapociute-Dzikiene, Robertas Dama?evicius and Marcin Wozniak
We describe the sentiment analysis experiments that were performed on the Lithuanian Internet comment dataset using traditional machine learning (Naïve Bayes Multinomial?NBM and Support Vector Machine?SVM) and deep learning (Long Short-Term Memory?LSTM a...
ver más
|
|
|
|
|
|
|
|
|
|
|
Laurynas Pipiras, Rytis Maskeliunas and Robertas Dama?evicius
Automatic speech recognition (ASR) has been one of the biggest and hardest challenges in the field. A large majority of research in this area focuses on widely spoken languages such as English. The problems of automatic Lithuanian speech recognition have...
ver más
|
|
|
|
|
|