https://github.com/git-vish/udacity-natural-language-processing-nanodegree

Projects completed under Udacity's Natural Language Processing nanodegree program.
https://github.com/git-vish/udacity-natural-language-processing-nanodegree

Last synced: 6 months ago
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Projects completed under Udacity's Natural Language Processing nanodegree program.

• Host: GitHub
• URL: https://github.com/git-vish/udacity-natural-language-processing-nanodegree
• Owner: git-vish
• Created: 2020-07-01T07:01:46.000Z (almost 6 years ago)
• Default Branch: master
• Last Pushed: 2020-07-02T04:47:26.000Z (almost 6 years ago)
• Last Synced: 2025-02-05T21:53:26.393Z (over 1 year ago)
• Language: HTML
• Size: 26.9 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Udacity Natural Language Processing Nanodegree

Projects completed under [Udacity's Natural Language Processing nanodegree](https://www.udacity.com/course/natural-language-processing-nanodegree--nd892) program.

## Project-1: [Part of Speech Tagging](https://github.com/cloud-VG/Udacity-Natural-Language-Processing-Nanodegree/tree/master/Part%20of%20Speech%20Tagging)

![ppt](images/tag.png)

In this project we build a hidden Markov model for part of speech tagging with a [universal tagset](http://www.petrovi.de/data/universal.pdf) using the [Pomegranate](https://github.com/jmschrei/pomegranate) library. 

## Project-2: [Machine Translation](https://github.com/cloud-VG/Udacity-Natural-Language-Processing-Nanodegree/tree/master/Machine%20Translation)

![translation](images/translate.png)

In this project, we build a deep neural network that functions as part of a machine translation pipeline using [Keras](https://keras.io/). The pipeline accepts English text as input and returns the French translation. The goal is to achieve the highest translation accuracy possible.

## Project-3: [Speech Recognizer](https://github.com/cloud-VG/Udacity-Natural-Language-Processing-Nanodegree/tree/master/VUI%20Speech%20Recognizer)

![recognition](images/recognition.png)

In this project we build deep neural networks using [Keras](https://keras.io/) that functions as part of an end-to-end automatic speech recognition (ASR) pipeline! The completed pipeline will accept raw audio as input and return a predicted transcription of the spoken language. In this capstone project, 5 RNN architectures are used and compared with each other.

_Images credits: [Flaticon](https://www.flaticon.com/)_