Infrastructure/software/eosc

Background

This page provides a working document for requirements in the NLP(L) use case in the EOSC Nordic project.

The NLPL research community (in late 2019) is comprised of many dozens of active users, ranging from MSc students to professors; there is much variation in computational experience and ‘Un*x foo’. Likewise, computing tasks vary a lot; NLP research quite generally is both data- and compute-intensive.

Typical types of data include potentially large document collections (for example 130 billion words of English extracted from the Common Crawl), pre-computed representations of word or sentence meaning (so-called word embeddings), or more specialized training and evaluation sets for supervised machine learning tasks like parsing or machine translation.