NusaCrowd: Open source initiative for Indonesian NLP resources
We present NusaCrowd, a collaborative initiative to collect and unify existing resources for
Indonesian languages, including opening access to previously non-public resources …
Indonesian languages, including opening access to previously non-public resources …
Aya model: An instruction finetuned open-access multilingual language model
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 …
data-rich languages. What does it take to broaden access to breakthroughs beyond first …
Multilingual large language model: A survey of resources, taxonomy and frontiers
Multilingual Large Language Models are capable of using powerful Large Language
Models to handle and respond to queries in multiple languages, which achieves remarkable …
Models to handle and respond to queries in multiple languages, which achieves remarkable …
Aya dataset: An open-access collection for multilingual instruction tuning
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 …
recent achievements in the space of natural language processing (NLP) can be attributed to …
GlobalBench: A benchmark for global progress in natural language processing
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 …
across languages still exist. Arguably, these are due to uneven resource allocation and sub …
Findings of the 2023 ml-superb challenge: Pre-training and evaluation over more languages and beyond
The 2023 Multilingual Speech Universal Performance Benchmark (ML-SUPERB) Challenge
expands upon the acclaimed SUPERB framework, emphasizing self-supervised models in …
expands upon the acclaimed SUPERB framework, emphasizing self-supervised models in …
Leveraging the Multilingual Indonesian Ethnic Languages Dataset In Self-Supervised Models for Low-Resource ASR Task
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 …
global total, positioning it as the second-most linguistically diverse country after Papua New …
Cross-lingual cross-age group adaptation for low-resource elderly speech emotion recognition
Speech emotion recognition plays a crucial role in human-computer interactions. However,
most speech emotion recognition research is biased toward English-speaking adults, which …
most speech emotion recognition research is biased toward English-speaking adults, which …
Extraction and attribution of public figures statements for journalism in Indonesia using deep learning
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 …
with public figures. Attribution from such statements provides important information and it …
Text Stemming and Lemmatization of Regional Languages in Indonesia: A Systematic Literature Review
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 …
to the ability to minimize word variations to fundamental forms. This procedure facilitates the …