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Oe: /* Resources */

2021-01-12T18:42:52Z

‎Resources

2021-01-12T18:41:02Z

‎Resources

2020-12-20T10:10:03Z

‎Contact

2020-05-14T11:10:49Z

‎Partners

2019-12-27T11:07:50Z

‎Associates

2019-12-27T11:07:33Z

‎Associates

2019-11-11T09:16:46Z

‎Associates

2019-08-02T09:43:27Z

‎Resources

2019-05-09T12:39:27Z

‎Associates

2019-05-09T12:17:18Z

‎Associates

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 Since mid-2017, NLPL has started to make available some of its resources and services to the public:
 * [http://wiki.nlpl.eu/index.php/Corpora/home 90 billion tokens of ‘raw’ text] extracted from web data, covering the 45 languages in the 2017 UD Parsing Shared Task;
 * The [http://corpora.nlpl.eu/engc3/ EngC3] corpus of some [http://corpora.nlpl.eu/engc3/ 130 billion tokens of clean English text] extracted from the Common Crawl;
-* The [http://epe.nlpl.eu Extrinsic Parser Evaluation 2017] (EPE) Shared Task at the DepLing and IWPT 2017 conferences;
+* Large-Scale [http://wiki.nlpl.eu/Vectors/norlm contextualized language models] for Norwegian, including the ELMo and BERT architectures;
 * A [http://vectors.nlpl.eu/repository repository of pre-trained word embeddings] on very large corpora and [http://vectors.nlpl.eu/explore on-line explorer] for these models;
-* Large-Scale [http://wiki.nlpl.eu/Vectors/norlm contextualized language models] for Norwegian, including the ELMo and BERT architectures;
+* The [http://epe.nlpl.eu Extrinsic Parser Evaluation] (EPE) Shared Tasks at the IWPT 2017 and CoNLL 2018 conferences;
 * An annual [http://wiki.nlpl.eu/index.php/Community/training winter school series] on machine learning and scientific programming for NLP research.

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 * The [http://epe.nlpl.eu Extrinsic Parser Evaluation 2017] (EPE) Shared Task at the DepLing and IWPT 2017 conferences;
 * A [http://vectors.nlpl.eu/repository repository of pre-trained word embeddings] on very large corpora and [http://vectors.nlpl.eu/explore on-line explorer] for these models;
 * The [http://opus.nlpl.eu Open Parallel Corpus] (OPUS; now maintained as a dedicated service under the NLPL umbrella);
 * An annual [http://wiki.nlpl.eu/index.php/Community/training winter school series] on machine learning and scientific programming for NLP research.

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 = Contact =
-To email NLPL project management and its Steering Group, please use the address <code>contact</code><code>@</code><code>nlpl.eu</code>.
+To email NLPL project management and its Steering Group, please use the address <code>infrastructure</code><code>@</code><code>nlpl.eu</code>.
 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 [https://wiki.neic.no/wiki/Nordic_language_processing_laboratory NLPL page on the NeIC wiki].

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 academic partners.
-Between 2017 and 2020, NLPL is supported by the [https://neic.nordforsk.org/ Nordic e-Infrastructure Collaboration]
+Between 2017 and 2019, NLPL was supported by the [https://neic.nordforsk.org/ Nordic e-Infrastructure Collaboration]
 (NeIC) and the national e-Infrastructure providers in Finland ([http://www.csc.fi CSC]) and Norway ([https://www.sigma2.no/ Sigma2]).
 = Associates =

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 anticipated group of users (including details on affiliation).
-As of March 2019, the following research groups are NLPL associates:
+As of November 2019, the following research groups are NLPL associates:
 * [https://clasp.gu.se/ Center for Linguistic Theory and Studies of Probability] at Gothenburg University (Sweden)

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 * [https://nlp.cs.ut.ee/ Natural Language Processing Research Group] at the University of Tartu (Estonia)
 * [https://www.ida.liu.se/divisions/hcs/nlplab/ Research Group on Natural Language Processing (NLPLAB)] at Linköping University
-* [https://arnastofnun.is/is/maltaekni The Árni Magnússon Institute for Icelandic Studies]
+* The [https://arnastofnun.is/is/maltaekni Árni Magnússon Institute for Icelandic Studies] and the [https://lvl.ru.is/ Language and Voice Lab] at Reykjavik University
 = Contact =