lang-detect | detecting the language for a small piece of unicode text | Data Manipulation library

by sharismlab Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | lang-detect Summary

lang-detect is a Python library typically used in Utilities, Data Manipulation applications. lang-detect has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

detecting the language for a small piece of unicode text

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lang-detect has a low active ecosystem.

It has 22 star(s) with 4 fork(s). There are 4 watchers for this library.

It had no major release in the last 6 months.

lang-detect has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of lang-detect is current.

Quality

lang-detect has 0 bugs and 0 code smells.

Security

lang-detect has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

lang-detect code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

lang-detect does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

lang-detect releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

lang-detect saves you 130 person hours of effort in developing the same functionality from scratch.

It has 326 lines of code, 21 functions and 8 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed lang-detect and discovered the below as its top functions. This is intended to give you an instant insight into lang-detect implemented functionality, and help decide if they suit your requirements.

Detect the similarity of the text .
Parse command line arguments .
Returns the next gram in the text .
Find the first occurrence of c .
Return content of given URL .
Return the number of occurrences of c .
Compute the inner product of a and b .
Initialize the grammar .
Return an iterator .

Get all kandi verified functions for this library.

lang-detect Key Features

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lang-detect Examples and Code Snippets

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Community Discussions

Trending Discussions on lang-detect

Python NLP differentiation of British English and American English

Keras network can never classify the last class

QUESTION

Python NLP differentiation of British English and American English

Asked 2019-Oct-01 at 09:41

Currently i am working on a project using nlp and python. i have content and need to find the language. I am using spacy to detect the language. The libraries are providing only language as English language. i need to find whether it is British or American English? Any suggestions?

I tried with Spacy, NLTK, lang-detect. but this libraries provide only English. but i need to display as en-GB for British and en-US for american.

...

ANSWER

Answered 2019-Oct-01 at 09:41

You can train your own model. Many geographically specific data on English were collected by University of Leipzig, but it does not include US English. American National Corpus should a free subset that you can use.

A popular library for language langid.py allows training your own model. They have a nice tutorial on github. Their model is based on character tri-gram frequencies, which might not be sufficiently distinctive statistics in this case.

Another option is to train a classifier on top of BERT using e.g., Pytorch and the transormers library. This will surely get very good results, but if you are not experienced with deep learning, it might be actually a lot of work for you.

Source https://stackoverflow.com/questions/58181798

QUESTION

Keras network can never classify the last class

Asked 2017-Nov-03 at 09:21

I have been working on my project Deep Learning Language Detection which is a network with these layers to recognise from 16 programming languages:

And this is the code to produce the network:

...

ANSWER

Answered 2017-Nov-03 at 09:21

TL;DR: The problem is that your data are not shuffled before being split into training and validation sets. Therefore, during training, all samples belonging to class "sql" are in the validation set. Your model won't learn to predict the last class if it hasn't been given samples in that class.

In get_input_and_labels(), the files for class 0 are first loaded, and then class 1, and so on. Since you set n_max_files = 2000, it means that

The first 2000 (or so, depends on how many files you actually have) entries in Y will be of class 0 ("go")
The next 2000 entries will be of class 1 ("csharp")
...
and finally the last 2000 entries will be of the last class ("sql").

Unfortunately, Keras does not shuffle the data before splitting them into training and validation sets. Because validation_split is set to 0.1 in your code, about the last 3000 samples (which contains all the "sql" samples) will be in the validation set.

If you set validation_split to a higher value (e.g., 0.2), you'll see more classes scoring 0%:

Source https://stackoverflow.com/questions/47025036

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install lang-detect

You can download it from GitHub.
You can use lang-detect like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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