The surge of pre-trained language models has begun a new era in the field of Natural
Language Processing (NLP) by allowing us to build powerful language models. Among …

The Persian language, also known as Farsi, is distinguished by its intricate morphological
richness, yet it contends with a paucity of linguistic resources. With an estimated 110 million …

We introduce new monolingual corpora for four indigenous and endangered languages
from Peru: Shipibo-konibo, Ashaninka, Yanesha and Yine. Given the total absence of these …

Deep learning models are the current State-of-the-art methodologies towards many real-
world problems. However, they need a substantial amount of labeled data to be trained …

Abstract Text-to-Speech (TTS) systems have made significant strides, enabling the
generation of speech from grapheme sequences. However, for low-resource languages …

with the rapid growth of using the internet and social media, people can easily share their
opinions on these platforms. due to this fact, user's comments are considering as a rich …

The existence of appropriate image datasets in the field of optical character recognition
(OCR) plays an essential role in the accuracy of OCR systems. Despite the fact that many …

Text corpora are essential for training models used in tasks like summarization, translation,
and large language models (LLMs). While various efforts have been made to collect …

This paper introduces the hmBlogs corpus for Persian, as a low resource language. This
corpus has been prepared based on a collection of nearly 20 million blog posts over a …

While most of the knowledge bases already support the English language, there is only one
knowledge base for the Persian language, known as FarsBase, which is automatically …