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
Natural-Language-Processing
Part of Speech tagging using RNN and/or LSTM
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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