<p>After some research into this I found this website: <a href="http://docs.bosonnlp.com/ner.html" rel="nofollow">http://docs.bosonnlp.com/ner.html</a>. If you set up an account on their website, you can use their NER functionality (because you need an API Token. I tried their Python example </p>

<pre><code>import json
import requests


NER_URL = 'http://api.bosonnlp.com/ner/analysis'


s = ['对于该小孩是不是郑尚金的孩子，目前已做亲子鉴定，结果还没出来，'
     '纪检部门仍在调查之中。成都商报记者 姚永忠']
data = json.dumps(s)
headers = {'X-Token': 'YOUR_API_TOKEN'}
resp = requests.post(NER_URL, headers=headers, data=data)


for item in resp.json():
    for entity in item['entity']:
        print(''.join(item['word'][entity[0]:entity[1]]), entity[2])
</code></pre>

<p>And got back: </p>

<pre><code>郑尚金 person_name
成都商报 product_name
姚永忠 person_name
</code></pre>

<p>However, it seems they have a 500 daily request limit.</p>

<p>Doing some more research, they seem to have a <a href="http://bosonnlp.com/dev/resource" rel="nofollow">publicly</a> available list of names they use for their text comparison (The link is under 命名实体数据). That might be what you're looking for.</p>

CC BY-SA 3.0
2015-08-16T15:50:40.417Z
2015-08-16T15:50:40.417Z
Ringil
<p>外國地名譯名</p>

<ul>
<li><p><a href="http://data.gov.tw/node/gov/resource/9441" rel="nofollow">http://data.gov.tw/node/gov/resource/9441</a></p></li>
<li><p>Taiwan, traditional characters, csv</p></li>
</ul>

<p>外国地名译名手册 / Mainland</p>

<p><a href="https://zh.wikipedia.org/wiki/%E5%A4%96%E5%9B%BD%E5%9C%B0%E5%90%8D%E8%AF%91%E5%90%8D%E6%89%8B%E5%86%8C" rel="nofollow">https://zh.wikipedia.org/wiki/%E5%A4%96%E5%9B%BD%E5%9C%B0%E5%90%8D%E8%AF%91%E5%90%8D%E6%89%8B%E5%86%8C</a></p>

<ul>
<li>Mainland, simplified characters, but can only find scanned copies online</li>
</ul>

CC BY-SA 3.0
2015-11-16T11:53:26.637Z
2015-11-16T11:53:26.637Z
pross
<p>Is there a freely available list of geographical entities, like cities, provinces (in China and abroad), names of rivers, mountains, etc.? </p>

<p>I am looking for something like <a href="http://www.geonames.org/" rel="nofollow">GeoNames</a>, but it doesn't have to be that feature rich. </p>

<p>I would like to use this for <a href="https://en.wikipedia.org/wiki/Named-entity_recognition" rel="nofollow">named-entity recognition</a>. </p>

<names><software><place-names><proper-nouns>
Large List/DB of (Mandarin) Chinese Geographical Names and Entitites (for NER)
# Large List/DB of (Mandarin) Chinese Geographical Names and Entitites (for NER)

(Asked by: username_0 on 2015-08-16)

Is there a freely available list of geographical entities, like cities, provinces (in China and abroad), names of rivers, mountains, etc.?

I am looking for something like [GeoNames](http://www.geonames.org/), but it doesn't have to be that feature rich.

I would like to use this for [named-entity recognition](https://en.wikipedia.org/wiki/Named-entity_recognition).

**Tags:** names, software, place-names, proper-nouns


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## 2 answers

### Answer by username_1 on 2015-08-16. Score: 3 | Accepted answer

After some research into this I found this website: http://docs.bosonnlp.com/ner.html. If you set up an account on their website, you can use their NER functionality (because you need an API Token. I tried their Python example 
import json
import requests


NER_URL = 'http://api.bosonnlp.com/ner/analysis'


s = ['对于该小孩是不是郑尚金的孩子，目前已做亲子鉴定，结果还没出来，'
     '纪检部门仍在调查之中。成都商报记者 姚永忠']
data = json.dumps(s)
headers = {'X-Token': 'YOUR_API_TOKEN'}
resp = requests.post(NER_URL, headers=headers, data=data)


for item in resp.json():
    for entity in item['entity']:
        print(''.join(item['word'][entity[0]:entity[1]]), entity[2])

And got back: 
郑尚金 person_name
成都商报 product_name
姚永忠 person_name

However, it seems they have a 500 daily request limit.
Doing some more research, they seem to have a publicly available list of names they use for their text comparison (The link is under 命名实体数据). That might be what you're looking for.


---

### Answer by username_2 on 2015-11-16. Score: 2

外國地名譯名

* <http://data.gov.tw/node/gov/resource/9441>
* Taiwan, traditional characters, csv

外国地名译名手册 / Mainland

<https://zh.wikipedia.org/wiki/%E5%A4%96%E5%9B%BD%E5%9C%B0%E5%90%8D%E8%AF%91%E5%90%8D%E6%89%8B%E5%86%8C>

* Mainland, simplified characters, but can only find scanned copies online


---

