words/double-metaphone

Fast Double Metaphone algorithm

double-metaphone's Issues

Should have benchmarks

…including a comparison to the competition.

Wrong codes being generated

I've been troubleshooting some issues with text matching in something I'm working on and realized that this library generates wrong codes.

For example alexander should encode to ALKS but this library encodes it as ALNTR. Also aleksander encodes to ALKSNTR. Matching is pretty much impaired by this.

Is this expected with this implementation?

English grammar on the web link

Little thing in your metaphone and double-metaphone demo

"Just write a something, and both its phonetics (according to double-metaphone) will show up next to it."

Leave out the "a"

"Just write something, and both its phonetics (according to double-metaphone) will show up next to it."

I have a collection of English oronyms and this algorithm works especially well. Thank you.

Are Beats and Buds Supposed To Match?

Pretty much what the title says. They both match to PT but I would say they are not phonetically similar.

Add support to release aarch64 wheels

Problem

On aarch64, pip install DoubleMetaphone builds the wheels from source code and then install it. It requires user to have development environment installed on his system. also, it take some time to build the wheels than downloading and extracting the wheels from pypi.

Resolution

On aarch64, pip install DoubleMetaphone should download the wheels from pypi

@wooorm , Please let me know your interest on releasing aarch64 wheels. I can help in this.