Improve the Accuracy of The Gender Taggger

[djokester]

The (word, gender) tuple is currently available here In accordance with Issue #9 we will move this file to Sangita Data We will also create a new repository for Hindi Word Vectors and one for machine learning models. These will be referenced in a separate issue.
Along with this we will remove the dependencies for Scikit Learn and work only with Keras. The task list is given below

• [ ] Move the gender.py to Sangita Data - Cakewalk.

• [ ] Create a fresh set of word vectors and store it under a new repository especially for word vectors. - Pro.

• [ ] Train the word vectors against the gender tags, and store the model under a separate repository. - Intermediate.

• [ ] Refactor the code here, to accommodate these changes. - Intermediate.

[djokester]

For the word vectors we will use sentences from HDTB initially. Once @MansiBreja is done with HindiMonoCorp Extraction we can use the sentences from HindiMonoCorp too and train the word vectors again. Also we might need to scrape more sentences for this.