NLTK is showing its age. In my information extraction pipelines, the heavy lifting for modelling is done by SpaCy, AllenNLP, and Huggingface (and Pytorch or TF

NLTK is showing its age. In my information extraction pipelines, the heavy lifting for modelling is done by SpaCy, AllenNLP, and Huggingface (and Pytorch or TF ofc). I only use NLTK since it has some base tools for low-resource languages for which noone has pretrained a transformer model or for specific NLP-related tasks. I still use their agreement metrics module, for instance. But that's about it. Dep parsing, NER, lemmatising and stemming is all better with the above mentioned packages.