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Comparing the time and performance between simple and spacylemma per language can be informative, and direct us to using a default system on a per-language basis
The text was updated successfully, but these errors were encountered:
It would be interesting to compare the performance of the two approaches on different languages.
We could use word lists (https://github.com/michmech/lemmatization-lists) which are context-free lemmas for words or we can use UD (https://universaldependencies.org/) to lemmatize in context.
Comparing the time and performance between
simple
andspacylemma
per language can be informative, and direct us to using a default system on a per-language basisThe text was updated successfully, but these errors were encountered: