watzon
/
wordpos
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

updated readme with 512-word bench results

This commit is contained in:
moos 2012-05-24 01:28:36 -07:00
parent 2548161bf6
commit a41643a2ff
1 changed files with 23 additions and 30 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

53
README.md
View File

@ -4,8 +4,7 @@ wordpos
wordpos is a set of part-of-speech utilities for Node.js using [natural's](http://github.com/NaturalNode/natural) WordNet module.
Usage
-------
## Usage
```js
var WordPOS = require('wordpos'),
@ -24,8 +23,7 @@ wordpos.isAdjective('awesome', function(result){
See `wordpos_spec.js` for full usage.
Installation
------------
## Installation
npm install wordpos
@ -35,10 +33,10 @@ To run spec:
npm install jasmine-node -g
jasmine-node wordpos_spec.js --verbose
jasmine-node validate_spec.js --verbose
API
-------
## API
Please note: all API are async since the underlying WordNet library is async.
@ -215,44 +213,39 @@ To override, pass an options hash to the constructor. With the `profile` option,
// true 'fast' 29
```
## FastINdex
Version 0.1.4 introduces `fastIndex` option. This uses a secondary index on the index files and is much faster. It is on by default. Secondary index files are generated at install time and placed in the same directory as WNdb.path. Details can be found in tools/stat.js.
See blog article [Optimizing WordPos](http://blog.42at.com/optimizing-wordpos).
Benchmark
----------
## Benchmark
node wordpos-bench.js
Generally slow as it requires loading and searching large WordNet index files.
Single word lookup:
512-word corpus (orig) :
```
getPOS : 30 ops/s { iterations: 10, elapsed: 329 }
getNouns : 106 ops/s { iterations: 10, elapsed: 94 }
getVerbs : 111 ops/s { iterations: 10, elapsed: 90 }
getAdjectives : 132 ops/s { iterations: 10, elapsed: 76 }
getAdverbs : 137 ops/s { iterations: 10, elapsed: 73 }
getPOS : 0 ops/s { iterations: 1, elapsed: 9039 }
getNouns : 0 ops/s { iterations: 1, elapsed: 2347 }
getVerbs : 0 ops/s { iterations: 1, elapsed: 2434 }
getAdjectives : 1 ops/s { iterations: 1, elapsed: 1698 }
getAdverbs : 0 ops/s { iterations: 1, elapsed: 2698 }
done in 20359 msecs
```
128-word lookup (orig) :
512-word corpus (fastIndex, as of v0.1.4) :
```
getPOS : 0 ops/s { iterations: 1, elapsed: 2210 }
getNouns : 2 ops/s { iterations: 1, elapsed: 666 }
getVerbs : 2 ops/s { iterations: 1, elapsed: 638 }
getAdjectives : 2 ops/s { iterations: 1, elapsed: 489 }
getAdverbs : 2 ops/s { iterations: 1, elapsed: 407 }
getPOS : 18 ops/s { iterations: 1, elapsed: 57 }
getNouns : 48 ops/s { iterations: 1, elapsed: 21 }
getVerbs : 125 ops/s { iterations: 1, elapsed: 8 }
getAdjectives : 111 ops/s { iterations: 1, elapsed: 9 }
getAdverbs : 143 ops/s { iterations: 1, elapsed: 7 }
done in 1375 msecs
```
128-word lookup (fastIndex, as of v0.1.4) :
```
getPOS : 36 ops/s { iterations: 1, elapsed: 28 }
getNouns : 125 ops/s { iterations: 1, elapsed: 8 }
getVerbs : 500 ops/s { iterations: 1, elapsed: 2 }
getAdjectives : 500 ops/s { iterations: 1, elapsed: 2 }
getAdverbs : 1000 ops/s { iterations: 1, elapsed: 1 }
```
On a win7/64-bit/dual-core/3GHz. getPOS() is slowest as it searches through all four index files.
On a win7/64-bit/dual-core/3GHz. 220 words are looked-up (less stopwords and duplicates. getPOS() is slowest as it searches through all four index files.
License