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fasttag part of speech tagger javascript implementation

Home Page: http://code.google.com/p/jspos/

License: GNU Lesser General Public License v3.0

JavaScript 100.00%

pos-js's Introduction

ABOUT:

pos-js is a Javascript port of Mark Watson's FastTag Part of Speech Tagger which was itself based on Eric Brill's trained rule set and English lexicon.

pos-js also includes a basic lexer that can be used to extract words and other tokens from text strings.

pos-js was written by Percy Wegmann and is available on Google code. This fork adds node.js and npm support.

LICENSE:

jspos is licensed under the GNU LGPLv3

INSTALL:

$ npm install pos

USAGE:

var pos = require('pos');
var words = new pos.Lexer().lex('This is some sample text. This text can contain multiple sentences.');
var tagger = new pos.Tagger();
var taggedWords = tagger.tag(words);
for (i in taggedWords) {
    var taggedWord = taggedWords[i];
    var word = taggedWord[0];
    var tag = taggedWord[1];
    console.log(word + " /" + tag);
}

// extend the lexicon
tagger.extendLexicon({'Obama': ['NNP']});
tagger.tag(['Mr', 'Obama']);
// --> [[ 'Mr', 'NNP' ], [ 'Obama', 'NNP' ]]

ACKNOWLEDGEMENTS:

Thanks to Mark Watson for writing FastTag, which served as the basis for jspos.

TAGS:

CC Coord Conjuncn           and,but,or
CD Cardinal number          one,two
DT Determiner               the,some
EX Existential there        there
FW Foreign Word             mon dieu
IN Preposition              of,in,by
JJ Adjective                big
JJR Adj., comparative       bigger
JJS Adj., superlative       biggest
LS List item marker         1,One
MD Modal                    can,should
NN Noun, sing. or mass      dog
NNP Proper noun, sing.      Edinburgh
NNPS Proper noun, plural    Smiths
NNS Noun, plural            dogs
POS Possessive ending       's
PDT Predeterminer           all, both
PRP$ Possessive pronoun     my,one's
PRP Personal pronoun        I,you,she
RB Adverb                   quickly
RBR Adverb, comparative     faster
RBS Adverb, superlative     fastest
RP Particle                 up,off
SYM Symbol                  +,%,&
TO 'to'                     to
UH Interjection             oh, oops
VB verb, base form          eat
VBD verb, past tense        ate
VBG verb, gerund            eating
VBN verb, past part         eaten
VBP Verb, present           eat
VBZ Verb, present           eats
WDT Wh-determiner           which,that
WP Wh pronoun               who,what
WP$ Possessive-Wh           whose
WRB Wh-adverb               how,where
, Comma                     ,
. Sent-final punct          . ! ?
: Mid-sent punct.           : ; Ñ
$ Dollar sign               $
# Pound sign                #
" quote                     "
( Left paren                (
) Right paren               )

pos-js's People

Contributors

Stargazers

Watchers

Forkers

silentrob mattdesl kiipost jajuki13 edlea hugo-ter-doest benedictchen jtmarmon pombredanne cemheren mbutler supermohit tzechienchu hideoyanagi ngocphuongnb yuvashree135 rajaraodv wassbeer lwang89 wonkystar machinelearningch carloslema daoan1412 jminor sthagen amundo mohammedalduraidi neel-indap auladinglese legitosaurus saumyagupta907 jadedveldon solojazz jointoucan rwitzel kenlee0305 devil7-softwares raylyanway vitaly-z

pos-js's Issues

Lexer fails with contractions?

It seems like it's not parsing contractions properly. it breaks "wouldn't" into wouldn ' t

For example, this snippet: "Your good, sensible head wouldn't let you do..." gives the following output:

{"word":"Your","tag":"PRP$"}
{"word":"good","tag":"JJ"}
{"word":",","tag":","}
{"word":"sensible","tag":"JJ"}
{"word":"head","tag":"NN"}
{"word":"wouldn","tag":"NN"}
{"word":"'","tag":"\""}
{"word":"t","tag":"NN"}
{"word":"let","tag":"VB"}
{"word":"you","tag":"PRP"}
{"word":"do","tag":"VBP"}

This seems like a pretty big deal, since contractions are fairly common in English.

Thanks for your work on this lib!

Feature: tag whitespace

Ideally there should be a way to exactly reconstruct the original sentence from the parsed tokens.

Multiple Language

Does it works with thai language ... Can i tag thai words with this library

Punctuation tags listed are not detected in lexer

When tagging, punctuation such as '(' and '$' should get their own tags. Some of them do, but it depends on whether the punctuation character in question has been added to the punctuation list in the lexer.

If the character hasn't been added then it depends on other matches whether the character will make it through. For example, neither of these will get special tokens:

"I made $some today..."
"The E.M.T.'s were on time (but only barely)."

However, the dollar sign will show up in this situation:

"I made $5.42 today..."

because the number gets parsed out, leaving the dollar to stand on its own.

The problem arose for me with parentheses, but on investigation I realised that other punctuation characters were also have an issue.

Fail: 'I' -> NN and not PRP

I tried this script:

var words = new pos.Lexer().lex('I love NodeJS');
var tagger = new pos.Tagger();
var taggedWords = tagger.tag(words);
for (i in taggedWords) {
    var taggedWord = taggedWords[i];
    var word = taggedWord[0];
    var tag = taggedWord[1];
    console.log(word + " /" + tag);
}

This is the log:

I /NN
love /NN
NodeJS /NN
undefined /undefined
undefined /undefined

It fails with the pronoun 'I'.
I don't know why it print two undefined elements, no words remaining.

Lexer fails on emails, URLS, and ID's

Looking at why we can't tokenize
[email protected]
http://example.com
19bdnznUXdHEOlp0Pn

Add test framework

Need some.

Error: "Cannot call method IndexOf of undefined" in tag() with a dash.

I'm lexing and tagging a sentence like "Android - constructor". It's failing with an error:

TypeError: Cannot call method 'indexOf' of undefined
    at startsWith (/Users/harth/repos/glossary/node_modules/pos/POSTagger.js:21:18)
    at POSTagger.tag (/Users/harth/repos/glossary/node_modules/pos/POSTagger.js:75:13)

It would be awesome if it would just skip over it.

Multiple tag options for a word not working

The word "drive" can be both a verb and noun.

I drive the drive so hard that it fails.

The default lexicon lists drive as a noun first, and if I tag this sentence, drive is marked as a noun for both occurrences. If I overwrite the the lexicon so it's a verb first

"drive" : ["VB", "VBP", "NN"],

then drive then becomes a verb for both occurrences. How does this library know when to distinguish, for example, between a verb case and noun case based on sentence position relative to other words? It doesn't seem to take the preceding pronoun or article into account here.

Abbreviations

The word AI in this sentence is abbreviation but it is recognized as VBP (present verb)

A16Z AI Playbook http://aiplaybook.a16z.com/

Can something be done for abbreviations except extending lexicon?

Lexer fails with times such as `10:00AM`

Lexer doesn't properly parse things like 10:00 PM

Didn't detect CD and LS

var pos = require('pos');
var words = new pos.Lexer().lex('Twenty gardening tips from six experts for a fruitful summer');
var tagger = new pos.Tagger();
var taggedWords = tagger.tag(words);

console.log(taggedWords);

Gave results:

[ [ 'Twenty', 'NN' ],
  [ 'gardening', 'VBG' ],
  [ 'tips', 'NNS' ],
  [ 'from', 'IN' ],
  [ 'six', 'NN' ],
  [ 'experts', 'NNS' ],
  [ 'for', 'IN' ],
  [ 'a', 'DT' ],
  [ 'fruitful', 'JJ' ],
  [ 'summer', 'NN' ] ]

"Twenty" and "Six" must be CD. Am I wrong?

Rule 2 bails on proto

This was kinda edgy, but trying to tag __proto__ returns undefined and crashes. This should probably return Noun or try/catch.

POSTAGGER for brazilian portuguese

Hi there,

I'm working in a brazilian portuguese chatbot project, and I was wondering if it's possible to translate the tagger training to tag brazilian portuguese sentences...

built-in rule3 (NN & ends with 'AL') mis-classifies "pal"

Perhaps it should check the size of the word and not reclassify it as a JJ if it has less than 4 characters as it wouldn't be adjective in that case.

Tagger identifies the name Fred as a VBN

It turn the NNP "Fred" into a VBN. I think it is because it ends in "ed"

var pos = require('pos');
var words = new pos.Lexer().lex('My name is Fred Jenkins');
var tagger = new pos.Tagger();
var taggedWords = tagger.tag(words);

expected:

[
  ['My', 'PRP$'],
  ['name', 'NN'],
  ['is', 'VBZ'],
  ['Fred', 'VBN'],
  ['Jenkins', 'NNP']
]

actual:

[
  ['My', 'PRP$'],
  ['name', 'NN'],
  ['is', 'VBZ'],
  ['Fred', 'NNP'],
  ['Jenkins', 'NNP']
]

Push updated release to NPM

Clarify License as being LGPL

A recent merge #14 that added BrillTransformationRules.js (https://github.com/dariusk/pos-js/blob/master/BrillTransformationRules.js#L5-L16) has introduced code that the header says is GPL, but the license of the project is stated to be LGPL.

This should be clarified.

Dealing with apostrophes

Hi,

I have a number of sentences I am running through pos which have words that contain apostrophes. When the results come back it seems that these words have been split at the apostrophe and analysed.

For example the word it's is returned as

It,Personal pronoun,
',quote,
s,Personal pronoun

What is the correct way to prevent this?

tagging "Open" as NNP

When i pass in a string to the Tagger().tag() it is returning Open as "NNP". The below gist has the exact code used to produce this.

GIST:
https://gist.github.com/dcbartlett/221200796a239b8cfca7

This may be an issue that needs to be aimed at jspos

Code to reproduce

var pos = require("pos")
var text = require('fs').readFileSync(__dirname + '/data.txt', 'utf-8')
new pos.Lexer().lex(text)

Text

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