GLEM is a lemmatizer for Ancient Greek.
# glem GLEM is a lemmatizer for Ancient Greek.
It has been created in the project ‘Unraveling the Language of Perspective’ (http://ncs.ruhosting.nl/perspective/), which is supported by the EU under FP7, ERC Starting Grant 338421-Perspective.
The paper ‘A memory-based lemmatizer for Ancient Greek’ reports on how it works, what material it uses, and what the accuracy is. It can be found in the repository and at http://dl.acm.org/citation.cfm?id=3078100.
A webservice where you can upload texts that you want to have lemmatized can be found at https://webservices-lst.science.ru.nl/portal/
Just Python 3 for the simple word list based lemmatizer.
To add machine learning based lemmatization that also takes into account the context, you also need [Frog](https://languagemachines.github.io/frog/). By far the easiest way to install Frog is to use [LaMachine](https://proycon.github.io/LaMachine/).
Run: python3 setup.py install
We recommend using LaMachine or a Python virtual environment of your own. Alternatively for a global installation, prepend sudo.
Glem comes with a pretrained model, based on lemmas chosen by humans (in the UiO PROIEL project, PI: Dag Haug), for Herodotus. If you are inside the Lamachine environment (something like `lamachine/bin/activate`), you can use it (with or without Frog) as follows:
`glem -f input.txt`
The files for this model can be found in `glem/pretrained_models/herodotus` .
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