JamSpell | Modern spell checking library - accurate | Natural Language Processing library

by bakwc C++ Version: 0.0.12 License: MIT

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | JamSpell Summary

JamSpell is a C++ library typically used in Artificial Intelligence, Natural Language Processing applications. JamSpell has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

JamSpell is a spell checking library with following features:.

Support

Quality

Security

License

Reuse

Support

JamSpell has a low active ecosystem.

It has 547 star(s) with 92 fork(s). There are 13 watchers for this library.

It had no major release in the last 12 months.

There are 19 open issues and 74 have been closed. On average issues are closed in 304 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of JamSpell is 0.0.12

Quality

JamSpell has 0 bugs and 0 code smells.

Security

JamSpell has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

JamSpell code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

JamSpell is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

JamSpell releases are available to install and integrate.

Installation instructions, examples and code snippets are available.

It has 828 lines of code, 96 functions and 11 files.

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

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JamSpell Key Features

No Key Features are available at this moment for JamSpell.

JamSpell Examples and Code Snippets

No Code Snippets are available at this moment for JamSpell.

Community Discussions

Trending Discussions on JamSpell

How an alphabet file is processed in NLP?

QUESTION

How an alphabet file is processed in NLP?

Asked 2021-Jan-17 at 08:45

I trained a model using the commands found here...

https://github.com/bakwc/JamSpell#train

There is no problem with the English text. But I need to train a similar model based on Hindi Corpus. I have a file that can be replaced with sherlockholmes.txt but I am not sure what should I refer to instead of alphabet_en.txt.

Should I just collect all Unicode characters used in Hindi in a text file?

...

ANSWER

Answered 2021-Jan-17 at 08:45

Yes, following the example for English you are supposed to collect all of the characters that are used in the Hindi text of the corpus (here stored in sherlockholmes.txt file).

I guess these characters help the algorithm figure out which characters compose words and which characters are not (e.g. punctuation).

Source https://stackoverflow.com/questions/65758602

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

Vulnerabilities

No vulnerabilities reported

Install JamSpell

Here is a few simple models. They trained on 300K news + 300k wikipedia sentences. We strongly recommend to train your own model, at least on a few million sentences to achieve better quality. See Train section above.
en.tar.gz (35Mb)
fr.tar.gz (31Mb)
ru.tar.gz (38Mb)

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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