The ability of humans to create and disseminate culture is often credited as the single most
important factor of our success as a species. In this Perspective, we explore the notion of …

Historically, researchers and consumers have noticed a decrease in quality when applying
NLP tools to minority variants of languages (ie Puerto Rican Spanish or Swiss German), but …

Large Language Models (LLMs) have demonstrated remarkable success across a wide
range of tasks and domains. However, their performance in low-resource language …

Recent research using pre-trained transformer models suggests that just 10 minutes of
transcribed speech may be enough to fine-tune such a model for automatic speech …

Neural models have drastically advanced state of the art for machine translation (MT)
between high-resource languages. Traditionally, these models rely on large amounts of …

Typing is a time-consuming task and predictive text is proposed as a solution. Recently,
Generative Pre-trained Transformers (GPT) have employed autoregressive deep learning to …

Natural language processing (NLP) has changed how humans interact with technology and
evaluate data. Its ability to comprehend, interpret, and generate human language has …

Leveraging shared learning through Massively Multilingual Models, state-of-the-art Machine
translation (MT) models are often able to adapt to the paucity of data for low-resource …

The ability of humans to create and disseminate culture is often credited as the single most
important factor of our success as a species. In this Perspective, we explore the notion of …

Hawrami, a dialect of Kurdish, is classified as an endangered language as it suffers from the
scarcity of data and the gradual loss of its speakers. Natural Language Processing projects …