New Textual Corpora for Serbian Language Modeling
Škorić, Mihailo, Janković, Nikola
–arXiv.org Artificial Intelligence
This paper will present textual corpora for Serbian (and Serbo-Croatian), usable for the training of large language models and publicly available at one of the several notable online repositories. Each corpus will be classified using multiple methods and its characteristics will be detailed. Additionally, the paper will introduce three new corpora: a new umbrella web corpus of Serbo-Croatian, a new high-quality corpus based on the doctoral dissertations stored within National Repository of Doctoral Dissertations from all Universities in Serbia, and a parallel corpus of abstract translation from the same source. The uniqueness of both old and new corpora will be accessed via frequency-based stylometric methods, and the results will be briefly discussed.
arXiv.org Artificial Intelligence
May-15-2024
- Country:
- Asia > Middle East
- Republic of Türkiye > Istanbul Province > Istanbul (0.04)
- Europe
- Czechia > South Moravian Region
- Brno (0.04)
- France > Provence-Alpes-Côte d'Azur
- Bouches-du-Rhône > Marseille (0.04)
- Italy > Tuscany
- Florence (0.04)
- Middle East > Republic of Türkiye
- Istanbul Province > Istanbul (0.04)
- Serbia > Central Serbia
- Belgrade (0.04)
- Slovenia > Central Slovenia
- Municipality of Ljubljana > Ljubljana (0.04)
- Spain > Valencian Community
- Valencia Province > Valencia (0.04)
- Czechia > South Moravian Region
- North America > Canada
- South America > Paraguay
- Asia > Middle East
- Genre:
- Research Report (0.82)
- Industry:
- Education (0.46)
- Technology:
- Information Technology > Artificial Intelligence
- Machine Learning > Neural Networks (0.46)
- Natural Language
- Chatbot (0.64)
- Large Language Model (0.66)
- Text Processing (0.68)
- Information Technology > Artificial Intelligence