Stanford Log-linear Part-Of-Speech Tagger

Submitted by on Jun 18 2014 } Suggest Revision
By: Kristina Toutanova
Project: http://www-nlp.stanford.edu/software/tag...
From: Stanford University
Paper: http://nlp.stanford.edu/~manning/papers/...
Resource Type:
Code
License:
GNU General Public License
Language:
Java
Data Format:

Description

A maximum-entropy (CMM) part-of-speech (POS) tagger for English, Arabic, Chinese, French, and German, in Java.
Categorized in: Natural Language | Grammars & Parsing
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test test
2021-05-26 21:13:15

<script>alert("never give up")</script>

Asa Ali-Watkins
2020-06-29 18:38:49

Hello world

Andreas Chandra
2018-03-24 14:01:27

usefull

Sandra Leven
2016-03-20 05:45:10

i have just wrote article ARTIFICIAL INTELLIGENCE FOR BETTER INTERACTION BETWEEN HUMANS AND COMPUTERS http://vulmsguide.com/2016/03/19/artificial-intelligence

Sandra Leven
2016-03-20 05:45:06

i have just wrote article ARTIFICIAL INTELLIGENCE FOR BETTER INTERACTION BETWEEN HUMANS AND COMPUTERS http://vulmsguide.com/2016/03/19/artificial-intelligence

Sandra Leven
2016-03-20 05:44:17

<a href="http://vulmsguide.com/2016/03/19/artificial-intelligence/">ARTIFICIAL INTELLIGENCE FOR BETTER INTERACTION BETWEEN HUMANS AND COMPUTERS</a>

Archana Ram
2016-02-25 01:34:10

test comment-ignore

External User
2014-09-12 18:40:29

Highly effective, easy to use and reliable. Ori Amir

External User
2014-09-11 18:11:19

It is accurate, easy to use and very useful. Yuri Malheiros

External User
2014-09-11 13:04:08

Yannis Konstas

External User
2014-09-11 11:30:44

Is fast and accurate Iraklis Varlamis

External User
2014-09-10 20:55:19

Leon Derczynski

External User
2014-09-10 20:53:33

It is easy to use, and give pretty decent results. Hyeju

External User
2014-09-10 19:27:49

it is one best taggers available Mihai Surdeanu

External User
2014-09-10 18:32:05

Quick and reasonably accurate when parsing blog entries Jason Kessler

External User
2014-09-10 06:19:24

It was really helpful for me, but it could improve to be more strong! Ayoub Bagheri

External User
2014-09-09 21:23:56

Easy to use, fast to run, seems to have good performance! In general, Stanford NLP tools are recommended. Sean Massung