Comments (5)
Hi Kai,
limdu should work for any language. If you encounter any specific problem
in working with limdu in your language, please report it and we will check.
Erel
On Sun, Apr 12, 2015 at 1:19 PM, Kai Chew [email protected] wrote:
What are the languages supported for the limdu classifications?
I assume all the language using a-z alphabet.How's about the Hebrew, Chinese, Hindi, Korea... those are not a-z
alphabet?Thanks :-)
—
Reply to this email directly or view it on GitHub
#27.
from limdu.
Cool~ Noted with thanks~
from limdu.
I'm trying to analyse the Chinese.
For english, in which 1-gram of word will be simple and straight forward...
like "I am Max" will become "I", "am", "Max"
The problem with Chinese, different from english, it doesn't have "space".
我是马氏 (something like IamMax)
So, it will become "我是马氏" or ("IamMax"), instead of "我", "是", "马", "氏" ("I", "am", "Max")
My temporarily solution:
If the content is in Chinese or Japanese, it will use n-gram of letter,
[limdu.features.NGramsOfLetters(1), limdu.features.NGramsOfLetters(2)]
ps: minor english mixed major chinese will be an issue... Max = "M", "a", "x"
If English as usual (or Hebrew, Korean...), n-gram of word will do.
[limdu.features.NGramsOfWords(1), limdu.features.NGramsOfWords(2)]
Do you have any better solution with Limdu for this kind of issue (Tokenisation)?
Thanks in advanced!
from limdu.
Hi Kai,
Currently limdu contains only a small number of feature extractors, which
are used mainly as examples. There is a feature extractor that extracts
words: "limdu.features.NGramsOfWords", and one that extracts letters: "
limdu.features.NGramsOfLetters". You can try to use the second one and
see if it works.
On Thu, Apr 16, 2015 at 6:40 PM, Kai Chew [email protected] wrote:
I'm trying to analyse the Chinese.
For english, in which 1-gram of word will be simple and straight
forward...
like "I am Max" will become "I", "am", "Max"The problem with Chinese, different from english, it doesn't have "space".
我是马氏 (something like IamMax)
So, it will become "我是马氏" or ("IamMax"), instead of "我", "是", "马", "氏"
("I", "am", "Max")Do you have any solution with Limdu for this kind of issue (Tokenisation)?
Thanks in advanced!—
Reply to this email directly or view it on GitHub
#27 (comment).
from limdu.
Hi erelsgl,
Yep. Referring to my previous comment, I'm using both at this moment.
Just looking for better recommendations :-)
Thanks~
from limdu.
Related Issues (20)
- online training behaviour for missclassification HOT 2
- SVM wrapper doesn't work HOT 10
- Always the same result for Bayesian classifier HOT 1
- svmlinear fix HOT 8
- work in browser? HOT 2
- limdu.utils.test does not exist. HOT 9
- Label Classification Result correct? HOT 2
- Node.js version HOT 1
- Does limdu support json file for saving and loading classifier? HOT 2
- This package is no longer usable because "brain" library has been removed HOT 7
- Big multi label classifier on db HOT 5
- How do I know the progress of Training? HOT 6
- Visualize Correlations between data? HOT 3
- Dataset mutation
- Missed fields on cross-validation
- Incorrect Accuracy
- Confusion in README
- sprintf deprecation HOT 1
- Feature suggestions HOT 3
- Security Notice & Bug Bounty - Command Injection - huntr.dev HOT 2
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from limdu.