devmount/neural-network-pos-tagger
Train and evaluate neural network language models for POS tagging, tag input sentences according to a trained model.
This tool helps improve how well a conversational agent understands natural language. You provide it with example sentences and their correct Part-of-Speech (POS) tags, and it learns to categorize words in new sentences (like identifying nouns, verbs, or specific entities like program names). This is for someone building or enhancing a chatbot or virtual assistant who needs accurate linguistic analysis of user input.
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Use this if you need to automatically label words in sentences with their grammatical role or semantic category to help a conversational agent better interpret user queries.
Not ideal if you're looking for a pre-trained, production-ready POS tagger for a wide range of general-purpose language tasks without any custom training.
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12
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Language
Python
License
GPL-3.0
Category
Last pushed
Jul 30, 2024
Commits (30d)
0
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