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tagmemics
The English language is extremely complicated. We have words that can have multiple
parts of speech. Natural language processing is difficult because it is hard to
tell if a word is a noun when it could be a verb or an adjective, etc.
The purpose of this project is to develop an algorithm that, given a sentence string,
has a ranking system that detects the part of speech of each word.
Why is the useful? Because understanding the correct parts of speech in a sentence
is the first step to teaching a robot how to read.
Total
Ranking: 120,043 of 197,085
Downloads: 6,224
Daily
Ranking: 87,723 of 197,066
Downloads: 0
Downloads Trends
Ranking Trends
Num of Versions Trends
Popular Versions (Major)
Popular Versions (Major.Minor)
Depended by
| Rank | Downloads | Name |
|---|
Depends on
| Rank | Downloads | Name |
|---|---|---|
| 8 | 1,428,256,062 | rake |
| 72 | 637,492,173 | pry |
| 949 | 55,294,694 | minitest-reporters |
| 988 | 53,002,866 | shoulda-context |
| 1,063 | 47,958,581 | shoulda |
| 1,166 | 42,102,471 | mechanize |
| 2,957 | 6,356,195 | facets |
| 43,493 | 29,419 | wordnet-defaultdb |
Owners
| # | Gravatar | Handle |
|---|---|---|
| 1 | binarymason |