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This Is Sentence Ranker which uses wordnet and wikipedia dump(Word2Vec) to rank according to grammer and relationship

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Sentence-ranking-

This Project is uses Word2Vec and Wordnet for ranking sentence according to grammer and rank them according how important that sentence is or it is valid or not? for example, Coffee is hot drink. This sounds good and grammatically correct sentence so algorithm rank using WordNet and Word2Vec. But say, Coffee is flying on moon and driving a car. This Sounds Crazy and it might or might not meaningful.How? if Coffee is name of Human. but sometimes that type of sentence analogy never came across WikipediaDump or Wordnet Dictionary. so it should have less ranking.

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Coffee Coffee Coffee....1000 X Times Sentence has No Meaning

Below Sentence has Meaning.

"Buffalo buffalo Buffalo buffalo buffalo buffalo Buffalo buffalo" is a grammatically correct sentence in American English, often presented as an example of how homonyms and homophones can be used to create complicated linguistic constructs through lexical ambiguity

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-Stanford Wordnet is used for same WordNet is a lexical database for the English language. It groups English words into sets of synonyms called synsets, provides short definitions and usage examples, and records a number of relations among these synonym sets or their members. WordNet can thus be seen as a combination of dictionary and thesaurus.

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This Is Sentence Ranker which uses wordnet and wikipedia dump(Word2Vec) to rank according to grammer and relationship

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