Gaël de Chalendar
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Add 0.5.0b6 models
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- README.md +10 -0
- afr-UD_Afrikaans-AfriBooms.zip +3 -0
- aii-UD_Assyrian-AS.zip +3 -0
- akk-UD_Akkadian-PISANDUB.zip +3 -0
- akk-UD_Akkadian-RIAO.zip +3 -0
- amh-UD_Amharic-ATT.zip +3 -0
- apc-UD_South_Levantine_Arabic-MADAR.zip +3 -0
- apu-UD_Apurina-UFPA.zip +3 -0
- aqz-UD_Akuntsu-TuDeT.zip +3 -0
- ara-UD_Arabic-NYUAD.zip +3 -0
- ara-UD_Arabic-PADT.zip +3 -0
- ara-UD_Arabic-PUD.zip +3 -0
- arr-UD_Karo-TuDeT.zip +3 -0
- bam-UD_Bambara-CRB.zip +3 -0
- bej-UD_Beja-NSC.zip +3 -0
- bel-UD_Belarusian-HSE.zip +3 -0
- ben-UD_Bengali-BRU.zip +3 -0
- bho-UD_Bhojpuri-BHTB.zip +3 -0
- bre-UD_Breton-KEB.zip +3 -0
- bua-UD_Buryat-BDT.zip +3 -0
- bul-UD_Bulgarian-BTB.zip +3 -0
- cat-UD_Catalan-AnCora.zip +3 -0
- ceb-UD_Cebuano-GJA.zip +3 -0
- ces-UD_Czech-CAC.zip +3 -0
- ces-UD_Czech-CLTT.zip +3 -0
- ces-UD_Czech-FicTree.zip +3 -0
- ces-UD_Czech-PDT.zip +3 -0
- ces-UD_Czech-PUD.zip +3 -0
- ckt-UD_Chukchi-HSE.zip +3 -0
- cop-UD_Coptic-Scriptorium.zip +3 -0
- cym-UD_Welsh-CCG.zip +3 -0
- dan-UD_Danish-DDT.zip +3 -0
- deu-UD_German-GSD.zip +3 -0
- deu-UD_German-HDT.zip +3 -0
- deu-UD_German-LIT.zip +3 -0
- deu-UD_German-PUD.zip +3 -0
- ekk-UD_Estonian-EDT.zip +3 -0
- ekk-UD_Estonian-EWT.zip +3 -0
- ell-UD_Greek-GDT.zip +3 -0
- eme-UD_Teko-TuDeT.zip +3 -0
- eng-UD_English-Atis.zip +3 -0
- eng-UD_English-ESL.zip +3 -0
- eng-UD_English-EWT.zip +3 -0
- eng-UD_English-GUM.zip +3 -0
- eng-UD_English-GUMReddit.zip +3 -0
- eng-UD_English-LinES.zip +3 -0
- eng-UD_English-PUD.zip +3 -0
- eng-UD_English-ParTUT.zip +3 -0
- eng-UD_English-Pronouns.zip +3 -0
- eus-UD_Basque-BDT.zip +3 -0
README.md
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---
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license: mit
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---
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# LIMA libtorch-based models
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[LIMA](https://github.com/aymara/lima/wiki) is a multilingual linguistic analyzer developed by the CEA LIST, LASTI laboratory (French acronym for Text and Image Semantic Analysis Laboratory). LIMA is Free Software, available under the MIT license.
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LIMA has state of the art performance for more than 60 languages thanks to its recent deep learning (neural network) based modules. But it includes also a very powerful rules based mechanism called ModEx allowing to quickly extract information (entities, relations, events…) in new domains where annotated data does not exist.
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These models are for the last iteration of LIMA, using libtorch, the C++ implementation of PyTorch. This version is not complete nor completly final, but already better than previous versions.
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Read LIMA documentation for installation and usage instructions.
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---
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license: mit
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---
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afr-UD_Afrikaans-AfriBooms.zip
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eng-UD_English-LinES.zip
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eng-UD_English-PUD.zip
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eng-UD_English-ParTUT.zip
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eng-UD_English-Pronouns.zip
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eus-UD_Basque-BDT.zip
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