New Textual Corpora for Serbian Language Modeling

TL;DR

This paper introduces new Serbian language corpora, including web, dissertation, and parallel translation datasets, with detailed classification and analysis to support large language model training.

Contribution

It presents three novel Serbian corpora and applies multiple classification and stylometric methods to evaluate their uniqueness and characteristics.

Findings

New Serbian web corpus introduced

High-quality dissertation-based corpus created

Parallel corpus of abstract translations developed

Abstract

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.