Contributing a deep-learning, BERT-based analyzer

### Description

Hi,

We are building an open-source custom Hebrew/Arabic analyzer (lemmatizer and stopwords), based on a BERT model. We'd like to contribute this to this repository. How can we do that and be accepted? Can we compile it to native code and use JNI or [Panama ](https://openjdk.org/projects/panama/)? If not, what is the best approacch?

https://github.com/apache/lucene/issues/12502#issuecomment-1675084211

@uschindler would be very happy to hear what you think

Start with the linked Lucene issue discussion and determine whether the proposed Hebrew/Arabic BERT-based analyzer has an accepted integration path, including JNI or Panama. Done means a maintainer-approved contribution plan with clear acceptance criteria; this issue names no source files, entry points, or tests.

Written by the indexing model from the issue text.