👉 Encoding studies in natural language processing (NLP) typically inhabit computational environments, often using large-scale datasets and machine learning frameworks. These studies can be conducted in research labs, academic institutions, or specialized NLP development environments. The data used often includes text corpora, which can be curated or sourced from the internet, books, articles, and other textual sources. The computational setup usually involves powerful hardware for processing large datasets and running complex models, such as transformers or recurrent neural networks. However, the exact environment can vary based on the specific research question and available resources.
