| --- |
| pretty_name: polyglot3 models |
| license: other |
| license_name: polyglot-models |
| license_link: https://github.com/aboSamoor/polyglot |
| language: |
| - ar |
| - bg |
| - cs |
| - et |
| - fa |
| - fi |
| - he |
| - hi |
| - hr |
| - hu |
| - id |
| - ko |
| - lv |
| - ms |
| - no |
| - pt |
| - ru |
| - sk |
| - sl |
| - sr |
| - sv |
| - th |
| - tr |
| - uk |
| - vi |
| - multilingual |
| task_categories: |
| - token-classification |
| - text-classification |
| tags: |
| - named-entity-recognition |
| - part-of-speech |
| - sentiment |
| - word-embeddings |
| - polyglot |
| --- |
| |
| # polyglot3 models |
|
|
| Pre-trained models for [polyglot3](https://github.com/dcipheranalytics/polyglot3), |
| the maintained Python 3 continuation of |
| [polyglot](https://github.com/aboSamoor/polyglot): word embeddings, named |
| entity recognition, part of speech tagging and sentiment lexicons. |
|
|
| These are the models originally published by the polyglot project at Stony |
| Brook University, whose download server is no longer online. This dataset |
| mirrors them, unchanged, so that polyglot3 can download them. It is maintained |
| by Dcipher Analytics AB (<info@dcipheranalytics.com>). |
|
|
| ## Usage |
|
|
| The files are meant to be downloaded by polyglot3, which verifies each one |
| against the checksums in `index.json`: |
|
|
| ```bash |
| pip install polyglot3 |
| polyglot3 download LANG:tr # every model for Turkish |
| ``` |
|
|
| ```python |
| from polyglot3.text import Text |
| |
| Text("Mustafa Kemal Atatürk Ankara'da yaşadı.").entities |
| # [I-PER(['Mustafa', 'Kemal', 'Atatürk'])] |
| ``` |
|
|
| See the [polyglot3 documentation](https://github.com/dcipheranalytics/polyglot3) |
| for details. |
|
|
| ## Contents |
|
|
| | Package | Contents | Languages | Size | |
| |---------------|------------------------------------------------------------|-----------|--------| |
| | `embeddings2` | 64-dimensional word embeddings (100,000 words), NER/POS input | 25 | 635 MB | |
| | `ner2` | named entity recognition (person, location, organization) | 25 | 7 MB | |
| | `pos2` | part of speech tagging (universal POS tags) | 7 | 1.5 MB | |
| | `sentiment2` | word polarity lexicons (positive, neutral, negative) | 136 | 1.4 MB | |
|
|
| Each package is a single file at `<task>/<language>/<file>`, e.g. |
| `ner2/tr/tr_ner.pkl.tar.bz2`. `index.json` lists every file with its size and |
| MD5. |
|
|
| Languages (ISO 639 codes): |
|
|
| - **Embeddings and NER:** ar bg cs et fa fi he hi hr hu id ko lv ms no pt ru sk |
| sl sr sv th tr uk vi |
| - **POS:** bg cs fi hu id sl sv |
| - **Sentiment:** af als am an ar arz as ast az ba bar be bg bn bo bpy br bs ca |
| ce ceb cs cv cy da de diq dv el en eo es et eu fa fi fo fr fy ga gan gd gl gu |
| gv he hi hif hr hsb ht hu hy ia id ilo io is it ja jv ka kk km kn ko ku ky la |
| lb li lmo lt lv mg mk ml mn mr ms mt my ne nl nn no oc or os pa pam pl pms ps |
| pt qu rm ro ru sa sah scn sco se sh si sk sl sq sr su sv sw szl ta te tg th |
| tk tl tr tt ug uk ur uz vec vi vls vo wa war yi yo zh zhw |
|
|
| The original polyglot project published models for more languages. This |
| mirror only contains the ones above. |
|
|
| ## Source and license |
|
|
| The models were created by Rami Al-Rfou, Bryan Perozzi, Vivek Kulkarni, |
| Yanqing Chen, Steven Skiena and colleagues at the Data Science Lab, Stony |
| Brook University, and released with |
| [polyglot](https://github.com/aboSamoor/polyglot). They were trained on |
| Wikipedia (embeddings, NER, POS) and derived from it and other resources |
| (sentiment); see the papers below. |
|
|
| The polyglot code is licensed under GPLv3. The models are redistributed here |
| under the terms of their original release; refer to the |
| [polyglot project](https://github.com/aboSamoor/polyglot) for those terms. If |
| you are an author of these models and have questions about this mirror, |
| contact <info@dcipheranalytics.com>. |
|
|
| ## Citation |
|
|
| If you use these models, please cite the original papers: |
|
|
| ```bibtex |
| @InProceedings{polyglot:2013:ACL-CoNLL, |
| author = {Al-Rfou, Rami and Perozzi, Bryan and Skiena, Steven}, |
| title = {Polyglot: Distributed Word Representations for Multilingual NLP}, |
| booktitle = {Proceedings of the Seventeenth Conference on Computational Natural Language Learning}, |
| month = {August}, |
| year = {2013}, |
| address = {Sofia, Bulgaria}, |
| publisher = {Association for Computational Linguistics}, |
| pages = {183--192}, |
| url = {https://aclanthology.org/W13-3520} |
| } |
| |
| @inproceedings{polyglotner, |
| author = {Al-Rfou, Rami and Kulkarni, Vivek and Perozzi, Bryan and Skiena, Steven}, |
| title = {{Polyglot-NER}: Massive Multilingual Named Entity Recognition}, |
| booktitle = {Proceedings of the 2015 {SIAM} International Conference on Data Mining}, |
| month = {April}, |
| year = {2015}, |
| publisher = {SIAM} |
| } |
| |
| @inproceedings{chen2014building, |
| title = {Building sentiment lexicons for all major languages}, |
| author = {Chen, Yanqing and Skiena, Steven}, |
| booktitle = {Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Short Papers)}, |
| pages = {383--389}, |
| year = {2014} |
| } |
| ``` |
|
|
