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A comment on Stanza: A Python natural language processing toolkit for many human languages.
How the language model-based tokenizers fare on domain-specific documents, since language models don't have context for unknown tokens.
Are language model-based tokenizers any better at identifying abbreviations than rule-based ones?
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How the language model-based tokenizers fare on domain-specific documents, since language models don't have context for unknown tokens.
Are language model-based tokenizers any better at identifying abbreviations than rule-based ones?