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项目作者： susantabiswas

项目描述 ：
Machine Translation for conventional dates
高级语言： Jupyter Notebook
项目地址: git://github.com/susantabiswas/Neural-Date-Translator.git
创建时间： 2018-02-20T16:15:57Z
项目社区：https://github.com/susantabiswas/Neural-Date-Translator
开源协议：
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Neural Date Translation

Date translation from conventional Human readable format to machine readable format(YYYY-MM-DD) using Neural Machine Translation.
For example a date in human readable format can be : ‘sunday 15 september 2013’, ‘29-oct-1997’ or ‘30 august 1985’ etc.

The task is to convert this to a more normalized format like YYYY-MM-DD.

For this task a sequence to sequence encoder-decoder network has been used. LSTM cell units have been used in both the encoder as well as the decoder network.
This model also use Attention Mechanism.

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There are three main files:

  1. Neural Date Translation (Jupyter Notebook) : Contains the main code along with explanation. Also this is to be used is retraining is required.
  2. Neural Date Translation (Python script) : Incase you just want to see this in action. This doesn’t train the model instead uses the saved weight values.
  3. utility : used for generating and preprocessing training data.

Here is a snapshot output for some new test dates.

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Credits:

This project is based on the assignment from Sequence Models Specialization by Deeplearning.ai on Coursera.
https://www.coursera.org/learn/nlp-sequence-models/home/welcome