The Nordic Language Processing Laboratory (NLPL) is a collaboration of university research groups in Natural Language Processing (NLP) in Northern Europe. Our vision is to implement a virtual laboratory for large-scale NLP research by (a) creating new ways to enable data- and compute-intensive Natural Language Processing research by implementing a common software, data and service stack in multiple Nordic HPC centres, (b) by pooling competencies within the user community and among expert support teams, and (c) by enabling internationally competitive, data-intensive research and experimentation on a scale that would be difficult to sustain on commodity computing resources.
As part of its ‘virtual laboratory’, NLPL prepares and maintains software and data infrastructures for (A) Collaboration and Software Management; (B) Statistical and Neural Machine Translation; (C) Data-Driven Dependency Parsing; (D) Very Large Corpora; (E) Pre-Trained Word Embeddings; (F) Automated Extrinsic Evaluation; (G) Parallel Corpora and OPUS; and (H) Community Formation and Outreach. Please see the catalogue of available software and above links for information on how to gain access to and utilize the NLPL virtual laboratory.
Since mid-2017, NLPL has started to make available some of its resources and services to the public:
- 90 billion tokens of ‘raw’ text extracted from web data, covering the 45 languages in the 2017 UD Parsing Shared Task;
- The EngC3 corpus of some 130 billion tokens of clean English text extracted from the Common Crawl;
- The Extrinsic Parser Evaluation 2017 (EPE) Shared Task at the DepLing and IWPT 2017 conferences;
- A repository of pre-trained word embeddings on very large corpora and on-line explorer for these models;
- The Open Parallel Corpus (OPUS; now maintained as a dedicated service under the NLPL umbrella);
- An annual winter school series on machine learning and scientific programming for NLP research.
The NLPL consortium is comprised of Nordic research groups in NLP and the national e-infrastructure providers of Finland and Norway: Helsinki University (Finland), IT University Copenhagen (Denmark), University of Copenhagen (Denmark), University of Oslo (Norway), Turku University (Finland), and Uppsala University (Sweden) are the academic partners.
Between 2017 and 2019, NLPL was supported by the Nordic e-Infrastructure Collaboration (NeIC) and the national e-Infrastructure providers in Finland (CSC) and Norway (Sigma2). Starting in 2020, the Oslo and Helsinki groups represent the NLPL community in the EOSC-Nordic initiative, and the partners jointly continue development and maintenance of the NLPL virtual laboratory.
NLPL welcomes involvement of additional research groups in Language Technology in the Nordics, including the Baltic region, to make use of the virtual laboratory. The project has established an associate program where users can get access to NLPL resources. Please email the contact address below to ask for access. As part of your initial contact, please provide an indication of the expected types of computing, software, and data to be used and the anticipated group of users (including details on affiliation).
As of November 2019, the following research groups are NLPL associates:
- Center for Linguistic Theory and Studies of Probability at Gothenburg University (Sweden)
- Section for Computational Linguistics at Stockholm University (Sweden)
- Natural Language Processing Research Group at the University of Tartu (Estonia)
- Research Group on Natural Language Processing (NLPLAB) at Linköping University
- The Árni Magnússon Institute for Icelandic Studies and the Language and Voice Lab at Reykjavik University
To email NLPL project management and its Steering Group, please use the address
In mid-2017, the project welcomes expressions of interest from additional NLP research groups in Northern Europe.
For additional background and the archive of official project documents (including the work plan and Steering Group minutes), please see the NLPL page on the NeIC wiki.