levyfan/kenlm-jni

A Java JNI wrapper for KenLM: Faster and Smaller Language Model Queries

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Emerging

This project provides a way for Java applications to quickly and efficiently process text using advanced language models. It takes in plain text or sentences and outputs scores that indicate how likely that text is to occur based on a pre-trained language model. It's designed for Java developers who need to integrate high-performance language modeling capabilities into their applications, particularly for tasks involving natural language processing.

No commits in the last 6 months.

Use this if you are a Java developer building applications that require fast, memory-efficient language model scoring for tasks like text analysis or machine translation post-processing.

Not ideal if you are not a Java developer or if your primary need is for a full-fledged natural language processing library with pre-built models and complex functionalities beyond basic language model scoring.

Java-development NLP-integration text-processing language-modeling application-development
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 16 / 25
Community 15 / 25

How are scores calculated?

Stars

14

Forks

4

Language

Java

License

MIT

Last pushed

Oct 25, 2020

Commits (30d)

0

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