A convenient Chinese word segmentation tool 简便中文分词器
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Updated
Aug 14, 2024 - Python
A convenient Chinese word segmentation tool 简便中文分词器
Use the famous language model, xlnet, to do sequence tagging/ sequence labelling/ named entity recognition(NER) / noun extraction;
Part-of-speech tagger with character-level features using PyTorch
Using Markov chains and NLTK to create a text-generation machine learning model.
Implemented machine learning models like Bayes, HMM & MCMC from scratch for POS tagging using Python with 94% accuracy
A NLP app built with streamlit framework using SpaCy for Tokenization,Lemmatization,Parts of Speech (POS) Tagging and Named Entity Extraction(NER),TextBlob for Sentiment Analysis.
Machine Learning models
Part of Speech tagging using RNN and/or LSTM
Natural-Language-Processing
Machine Learning Brute-force approach on Part of Speech Tagging. Estimated precision, recall, accuracy, and F-measure on the task using 5-fold cross-validation. Implemented classifiers in Python for extra credit. Completed for school.
Natural Language Processing
NLP Mini project
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