
## Information
A word2vec model trained by Andrey Kutuzov (andreku@ifi.uio.no) on a vocabulary of size 163473 corresponding to 1903181185 tokens from the dataset `British_National_Corpus`.
The model is trained with the following properties: lemmatization and postag with the algorith Gensim Continuous Skipgram with window of 10 and dimension of 300.

## How to use?
```
from gensim.models import KeyedVectors
from huggingface_hub import hf_hub_download
model = KeyedVectors.load_word2vec_format(hf_hub_download(repo_id="Word2vec/nlpl_0", filename="model.bin"), binary=True, unicode_errors="ignore")
```

## Citation
Fares, Murhaf; Kutuzov, Andrei; Oepen, Stephan & Velldal, Erik (2017). Word vectors, reuse, and replicability: Towards a community repository of large-text resources, In Jörg Tiedemann (ed.), Proceedings of the 21st Nordic Conference on Computational Linguistics, NoDaLiDa, 22-24 May 2017. Linköping University Electronic Press. ISBN 978-91-7685-601-7

This archive is part of the NLPL Word Vectors Repository (http://vectors.nlpl.eu/repository/), version 2.0, published on Friday, December 27, 2019.
Please see the file 'meta.json' in this archive and the overall repository metadata file http://vectors.nlpl.eu/repository/20.json for additional information.
The life-time identifier for this model is: http://vectors.nlpl.eu/repository/20/0.zip
{"language": "eng", "license": "cc-by-4.0", "tags": ["word2vec"], "datasets": "British_National_Corpus"}
word2vec eng dataset:British_National_Corpus license:cc-by-4.0 region:us
TAGS
#word2vec #eng #dataset-British_National_Corpus #license-cc-by-4.0 #region-us 


## Information
A word2vec model trained by Andrey Kutuzov (andreku@URL) on a vocabulary of size 163473 corresponding to 1903181185 tokens from the dataset 'British_National_Corpus'.
The model is trained with the following properties: lemmatization and postag with the algorith Gensim Continuous Skipgram with window of 10 and dimension of 300.

## How to use?


Fares, Murhaf; Kutuzov, Andrei; Oepen, Stephan & Velldal, Erik (2017). Word vectors, reuse, and replicability: Towards a community repository of large-text resources, In Jörg Tiedemann (ed.), Proceedings of the 21st Nordic Conference on Computational Linguistics, NoDaLiDa, 22-24 May 2017. Linköping University Electronic Press. ISBN 978-91-7685-601-7

This archive is part of the NLPL Word Vectors Repository (URL version 2.0, published on Friday, December 27, 2019.
Please see the file 'URL' in this archive and the overall repository metadata file URL for additional information.
The life-time identifier for this model is: URL
## Information
A word2vec model trained by Andrey Kutuzov (andreku@URL) on a vocabulary of size 163473 corresponding to 1903181185 tokens from the dataset 'British_National_Corpus'.
The model is trained with the following properties: lemmatization and postag with the algorith Gensim Continuous Skipgram with window of 10 and dimension of 300. ## How to use?


Fares, Murhaf; Kutuzov, Andrei; Oepen, Stephan & Velldal, Erik (2017). Word vectors, reuse, and replicability: Towards a community repository of large-text resources, In Jörg Tiedemann (ed.), Proceedings of the 21st Nordic Conference on Computational Linguistics, NoDaLiDa, 22-24 May 2017. Linköping University Electronic Press. ISBN 978-91-7685-601-7

This archive is part of the NLPL Word Vectors Repository (URL version 2.0, published on Friday, December 27, 2019.
Please see the file 'URL' in this archive and the overall repository metadata file URL for additional information.
The life-time identifier for this model is: URL
TAGS
#word2vec #eng #dataset-British_National_Corpus #license-cc-by-4.0 #region-us 
 ## Information
A word2vec model trained by Andrey Kutuzov (andreku@URL) on a vocabulary of size 163473 corresponding to 1903181185 tokens from the dataset 'British_National_Corpus'.
The model is trained with the following properties: lemmatization and postag with the algorith Gensim Continuous Skipgram with window of 10 and dimension of 300. ## How to use?


Fares, Murhaf; Kutuzov, Andrei; Oepen, Stephan & Velldal, Erik (2017). Word vectors, reuse, and replicability: Towards a community repository of large-text resources, In Jörg Tiedemann (ed.), Proceedings of the 21st Nordic Conference on Computational Linguistics, NoDaLiDa, 22-24 May 2017. Linköping University Electronic Press. ISBN 978-91-7685-601-7

This archive is part of the NLPL Word Vectors Repository (URL version 2.0, published on Friday, December 27, 2019.
Please see the file 'URL' in this archive and the overall repository metadata file URL for additional information.
The life-time identifier for this model is: URL