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Many of those are found in the Natural Vocabulary Toolkit, or NLTK, an open source collection of your local library, programs, and schooling resources for building NLP programs. This tends to make it problematic to be able to not only locate a large corpus, but in addition annotate your very own data — many NLP tokenization resources don’t support several languages. Human vocabulary is insanely intricate, with” “its sarcasm, synonyms, slang, and industry-specific terms. The main obstacle of NLP is the understanding and modeling of elements within a variable context. In a natural language, words are unique but can possess different meanings based on the circumstance causing ambiguity on the lexical, syntactic, and semantic levels.
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