|
---
|
|
language:
|
|
- afr
|
|
- aii
|
|
- akk
|
|
- amh
|
|
- apc
|
|
- apu
|
|
- aqz
|
|
- ara
|
|
- arr
|
|
- bam
|
|
- bej
|
|
- bel
|
|
- ben
|
|
- bho
|
|
- bre
|
|
- bua
|
|
- bul
|
|
- cat
|
|
- ceb
|
|
- ces
|
|
- ckt
|
|
- cop
|
|
- cym
|
|
- dan
|
|
- deu
|
|
- ekk
|
|
- ell
|
|
- eme
|
|
- eng
|
|
- eus
|
|
- fao
|
|
- fas
|
|
- fin
|
|
- fra
|
|
- fro
|
|
- fry
|
|
- gla
|
|
- gle
|
|
- glg
|
|
- glv
|
|
- got
|
|
- grn
|
|
- gsw
|
|
- gun
|
|
- heb
|
|
- hf
|
|
- hin
|
|
- hit
|
|
- hrv
|
|
- hsb
|
|
- hun
|
|
- hye
|
|
- ind
|
|
- isl
|
|
- ita
|
|
- jaa
|
|
- jav
|
|
- jpn
|
|
- kfm
|
|
- koi
|
|
- kom
|
|
- kor
|
|
- krl
|
|
- lat
|
|
- lav
|
|
- lij
|
|
- lit
|
|
- mar
|
|
- mdf
|
|
- mlt
|
|
- mpu
|
|
- myu
|
|
- myv
|
|
- nap
|
|
- nds
|
|
- nld
|
|
- nor
|
|
- nyq
|
|
- olo
|
|
- orv
|
|
- otk
|
|
- pcm
|
|
- pol
|
|
- pom
|
|
- por
|
|
- qub
|
|
- quc
|
|
- ron
|
|
- rus
|
|
- sah
|
|
- san
|
|
- sjo
|
|
- slk
|
|
- slv
|
|
- sme
|
|
- sms
|
|
- soj
|
|
- spa
|
|
- sqi
|
|
- srp
|
|
- swe
|
|
- tam
|
|
- tat
|
|
- tel
|
|
- tgl
|
|
- tha
|
|
- tpn
|
|
- tur
|
|
- uig
|
|
- ukr
|
|
- urb
|
|
- urd
|
|
- vie
|
|
- wbp
|
|
- wol
|
|
- xnr
|
|
- xum
|
|
- yor
|
|
- ypk
|
|
- yue
|
|
- zho
|
|
tags:
|
|
- aymara
|
|
- lima
|
|
- tokenization
|
|
- tagging
|
|
- lemmatizing
|
|
- parsing
|
|
- multilingual
|
|
license: "mit"
|
|
datasets:
|
|
- universal_dependencies
|
|
---
|
|
# LIMA libtorch-based models
|
|
|
|
[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.
|
|
|
|
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.
|
|
|
|
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.
|
|
|
|
Read LIMA documentation for installation and usage instructions.
|
|
|
|
---
|
|
license: mit
|
|
---
|
|
|
