<p>There is a web demo system called <a href="http://ictclas.org/ictclas_demo.html">ICTCLAS</a> (Institute of Computing Technology, Chinese Lexical Analysis System). It was developed by the Institute of Computing Technology, Chinese Academy of Science.</p>

<p>There is also a web demo system from <a href="http://nlp.csai.tsinghua.edu.cn/thulac/">THULAS</a> (Tsinghua University - Lexical Analyzer for Chinese), which was developed by the Nature Language Processing Group, Tsinghua University.</p>

<p>NOTE: I don't know (and I cannot test) whether these site can be accessed freely across the world. <br>
NOTE2: As with any software language tool, take the results with a grain of salt, they aren't perfect.</p>

CC BY-SA 3.0
2011-12-26T06:39:42.777Z
Both links do not seem to work.
Village
CC BY-SA 3.0
2011-12-26T08:02:04.640Z
@Village: Oh my god, I'm sorry for that ...
fefe
CC BY-SA 3.0
2011-12-26T08:26:56.907Z
Oh, the first one is working now. Maybe I just need to wait for the other to work.
Village
CC BY-SA 3.0
2011-12-26T08:33:40.033Z
@Village Really ... I cannot access the first now. I'll keep an eye on it. The first one has also a downloadable demo version.
fefe
CC BY-SA 3.0
2011-12-23T14:32:55.673Z
2011-12-23T17:49:22.197Z
2011-12-23T17:49:22.197Z
fefe
<p>just write the word on google, then type definition after example: run definition   Then a big box with the definition will appear, usually the first one shows what part of speech it is</p>

CC BY-SA 3.0
2015-06-13T23:52:33.383Z
2015-06-13T23:52:33.383Z
James
<p>Update:</p>

<p><a href="http://nlp.qq.com" rel="nofollow noreferrer" title="Tencent NLP">Tencent NLP</a>
<a href="https://i.sstatic.net/IUT25.png" rel="nofollow noreferrer"><img src="https://i.sstatic.net/IUT25.png" alt="Tencent NLP"></a></p>

<p><a href="http://bosonnlp.com" rel="nofollow noreferrer" title="bonson NLP">Bonson NLP</a>
<a href="https://i.sstatic.net/1nO7U.png" rel="nofollow noreferrer"><img src="https://i.sstatic.net/1nO7U.png" alt="enter image description here"></a></p>

<p>There are many lexical analyzers for Chinese, but these are not developed for daily use, the typical usage is Chinese searcher engine.</p>

<p>I found 
<a href="http://www.ltp-cloud.com/demo/" rel="nofollow noreferrer">语言云</a> has a online demo, I test it by enter a sentence from today news,</p>

<p>"北京时间2月27日凌晨1点，FIFA特别代表大会选举中，因凡蒂诺击败萨尔曼、阿里王子、尚帕涅，成功当选新任国际足联主席，瑞士人的任期至2019年。"</p>

<p>The default result seems complicate, I deselected "语义依存分析" and "语义角色标注".</p>

<p><a href="https://i.sstatic.net/5mkc9.png" rel="nofollow noreferrer"><img src="https://i.sstatic.net/5mkc9.png" alt="enter image description here"></a>
<a href="https://i.sstatic.net/HTdDF.png" rel="nofollow noreferrer"><img src="https://i.sstatic.net/HTdDF.png" alt="enter image description here"></a>
<a href="https://i.sstatic.net/OtbWP.png" rel="nofollow noreferrer"><img src="https://i.sstatic.net/OtbWP.png" alt="enter image description here"></a></p>

<p>These tool can not be 100% accurate, for example, "选举" in the sentence is
a noun, not verb ( so the SBV relation is also wrong, SBV means subject-verb),
the biggest mistake is it split 因凡蒂诺(Sorry, Mr.Infantino) to 因 and 凡蒂诺.</p>

<p>These errors are understandable, it is still helpful. </p>

CC BY-SA 4.0
2021-10-25T04:25:25.607Z
Updated/better link: http://ltp.ai/demo.html
DuckMaestro
CC BY-SA 3.0
2016-02-27T04:11:57.247Z
2016-02-27T04:25:59.950Z
2016-02-27T04:25:59.950Z
sfy
<p>I have had good results with the <a href="http://nlp.stanford.edu/software/tagger.shtml" rel="nofollow">Stanford POS tagger</a>.</p>

CC BY-SA 3.0
2011-12-27T16:38:31.543Z
Please include a link =).
dusan
CC BY-SA 3.0
2011-12-27T18:04:41.287Z
It is the first result on Google here!
cburgmer
CC BY-SA 3.0
2011-12-28T12:28:23.503Z
I've added the link to your answer.
dusan
CC BY-SA 3.0
2011-12-27T14:58:05.957Z
2011-12-28T06:35:58.007Z
2011-12-28T06:35:58.007Z
cburgmer
<p>What software or online tools can detect the parts of speech in a piece of written text (e.g. to predict if a word is a verb, adjective, etc.)?</p>

CC BY-SA 3.0
2011-12-25T21:14:08.977Z
very very useful question. i had never thought of doing that, but now i can't see how i lived without it all this time.
magnetar
<grammar><software><academic>
What software can detect the parts of speech of written text?
# What software can detect the parts of speech of written text?

(Asked by: username_0 on 2011-12-23)

What software or online tools can detect the parts of speech in a piece of written text (e.g. to predict if a word is a verb, adjective, etc.)?

**Tags:** grammar, software, academic

> **Comments:**
> **username_1**: very very useful question. i had never thought of doing that, but now i can't see how i lived without it all this time.  

---

## 4 answers

### Answer by username_6 on 2011-12-27. Score: 6 | Accepted answer

I have had good results with the [Stanford POS tagger](http://nlp.stanford.edu/software/tagger.shtml).

> **Comments:**
> **username_7**: Please include a link =).  
> **username_6**: It is the first result on Google here!  
> **username_7**: I've added the link to your answer.  

---

### Answer by username_2 on 2011-12-23. Score: 6

There is a web demo system called [ICTCLAS](http://ictclas.org/ictclas_demo.html) (Institute of Computing Technology, Chinese Lexical Analysis System). It was developed by the Institute of Computing Technology, Chinese Academy of Science.

There is also a web demo system from [THULAS](http://nlp.csai.tsinghua.edu.cn/thulac/) (Tsinghua University - Lexical Analyzer for Chinese), which was developed by the Nature Language Processing Group, Tsinghua University.

NOTE: I don't know (and I cannot test) whether these site can be accessed freely across the world.   
NOTE2: As with any software language tool, take the results with a grain of salt, they aren't perfect.

> **Comments:**
> **username_0**: Both links do not seem to work.  
> **username_2**: @username_0: Oh my god, I'm sorry for that ...  
> **username_0**: Oh, the first one is working now. Maybe I just need to wait for the other to work.  
> **username_2**: @username_0 Really ... I cannot access the first now. I'll keep an eye on it. The first one has also a downloadable demo version.  

---

### Answer by username_3 on 2015-06-13. Score: 0

just write the word on google, then type definition after example: run definition Then a big box with the definition will appear, usually the first one shows what part of speech it is


---

### Answer by username_4 on 2016-02-27. Score: 0

Update:

[Tencent NLP](http://nlp.qq.com "Tencent NLP")
[![Tencent NLP](https://i.sstatic.net/IUT25.png)](https://i.sstatic.net/IUT25.png)

[Bonson NLP](http://bosonnlp.com "bonson NLP")
[![enter image description here](https://i.sstatic.net/1nO7U.png)](https://i.sstatic.net/1nO7U.png)

There are many lexical analyzers for Chinese, but these are not developed for daily use, the typical usage is Chinese searcher engine.

I found
[语言云](http://www.ltp-cloud.com/demo/) has a online demo, I test it by enter a sentence from today news,

"北京时间2月27日凌晨1点，FIFA特别代表大会选举中，因凡蒂诺击败萨尔曼、阿里王子、尚帕涅，成功当选新任国际足联主席，瑞士人的任期至2019年。"

The default result seems complicate, I deselected "语义依存分析" and "语义角色标注".

[![enter image description here](https://i.sstatic.net/5mkc9.png)](https://i.sstatic.net/5mkc9.png)
[![enter image description here](https://i.sstatic.net/HTdDF.png)](https://i.sstatic.net/HTdDF.png)
[![enter image description here](https://i.sstatic.net/OtbWP.png)](https://i.sstatic.net/OtbWP.png)

These tool can not be 100% accurate, for example, "选举" in the sentence is
a noun, not verb ( so the SBV relation is also wrong, SBV means subject-verb),
the biggest mistake is it split 因凡蒂诺(Sorry, Mr.Infantino) to 因 and 凡蒂诺.

These errors are understandable, it is still helpful.

> **Comments:**
> **username_5**: Updated/better link: http://ltp.ai/demo.html  

---

