Recent breakthroughs in large language models (LLMs) have centered around a handful of data-rich languages. What does it take to broaden access to breakthroughs beyond first …
Multilingual Large Language Models are capable of using powerful Large Language Models to handle and respond to queries in multiple languages, which achieves remarkable …
S Singh, F Vargus, D Dsouza, BF Karlsson… - arXiv preprint arXiv …, 2024 - arxiv.org
Datasets are foundational to many breakthroughs in modern artificial intelligence. Many recent achievements in the space of natural language processing (NLP) can be attributed to …
Despite the major advances in NLP, significant disparities in NLP system performance across languages still exist. Arguably, these are due to uneven resource allocation and sub …
The 2023 Multilingual Speech Universal Performance Benchmark (ML-SUPERB) Challenge expands upon the acclaimed SUPERB framework, emphasizing self-supervised models in …
S Sakti, BA Titalim - 2023 IEEE Automatic Speech Recognition …, 2023 - ieeexplore.ieee.org
Indonesia is home to roughly 700 languages, which amounts to about ten percent of the global total, positioning it as the second-most linguistically diverse country after Papua New …
Speech emotion recognition plays a crucial role in human-computer interactions. However, most speech emotion recognition research is biased toward English-speaking adults, which …
News articles are usually written by journalists based on statements taken from interviews with public figures. Attribution from such statements provides important information and it …
Z Abidin, A Junaidi - Journal of Information Systems …, 2024 - e-journal.unair.ac.id
Background: Stemming is significantly essential in natural language processing (NLP) due to the ability to minimize word variations to fundamental forms. This procedure facilitates the …