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nlp-machine-learning
Natural language processing (NLP) is a field of computer science that studies how computers and humans interact. In the 1950s, Alan Turing published an article that proposed a measure of intelligence, now called the Turing test. More modern techniques, such as deep learning, have produced results in the fields of language modeling, parsing, and natural-language tasks.
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not a bug report per se
I'm wondering how spacy/chinese models compares with the stanza project?
Stanza already provides chinese support with many features
https://stanfordnlp.github.io/stanza/models.html
that has a chinese (simplified) model and provides dep-parser, lemma and other basic NLP features.
I'm a bit confused as it uses spacy for tokenization:
https://stanfordnlp.github.io/
Create a markdown document with some explanations on how level generation works in BabyAI and how to create custom levels. This would go under /docs.
More broadly, I'd like to split up the README into more sub-documents, as I've done in the MiniWorld repo. Keep only introduction, installation and basic usage into the main README
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Created by Alan Turing
- Wikipedia
- Wikipedia
For example, documentation of AudioToSpectrogramPreprocessor is missing.
We investigated that with @redoctopus and she has found that nemo_asr.rst doesn't include several modules.
https://github.com/NVIDIA/NeMo/blob/master/docs/sources/source/collections/nemo_asr.rst
So the bigger issue includes: taking a look at all implemented components and checking whether the associated rst files are