Simplest way to build a semantic analyzer I want to build a semantic analyzer i.e., to find how similar the meaning of two sentences are. 
For example-
English: Birdie is washing itself in the water basin.
English Paraphrase: The bird is bathing in the sink.
Similarity Score: 5 ( The two sentences are completely equivalent, as they mean the same thing.)

I have to find the similarity between the meaning of those sentences.

Here is a github repo of what I want to implement.
https://github.com/anantm95/Semantic-Textual-Similarity

Is there any simpler approach?
Is there any simpler approach?


Very unlikely, semantic similarity is a very complex problem related to Natural Language Understanding (NLU). You could look at the techniques used for textual entailment, Question Answering and summarization.

Simple methods like the baseline system proposed in the github link, but they don't really try to analyze the semantics.