| Name | syllarust JSON |
| Version |
0.2.0
JSON |
| download |
| home_page | None |
| Summary | A simple library for quickly counting syllables |
| upload_time | 2025-01-06 23:03:27 |
| maintainer | None |
| docs_url | None |
| author | cyalen |
| requires_python | >=3.8 |
| license | Apache-2.0 |
| keywords |
syllables
nlp
text
language
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# syllarust
A simple syllable counter implemented natively in Rust. This is based on the work of the [python-syllables team](https://github.com/prosegrinder/python-syllables), which implents the same functionality in Python.
My goal was to bring the same ease/simplicity to Rust - and use Rust's fearless concurrency model to help improve the speed/quality at which syllable counts can be generated. This means if you're trying to generate syllable counts for large NLP/LLM applications where speed matters, this may be the crate you're looking for!
## Parallelism snippet using Rayon
```Rust
use syllarust::estimate_syllables;
use rayon::prelude::*;
fn main() {
let test_strs: Vec<&str> = vec![
"Apple",
"Tart",
"plate",
"Pontificate",
"Hello"
];
let start = Instant::now();
let results: Vec<usize> = test_strs.par_iter()
.map(|s| estimate_syllables(s))
.collect();
let stop = Instant::now();
println!("{:?}", stop - start);
println!("{:?}", results);
}
```
## Contributions/Issues
This is currently a work-in-progress repo. If you have any feature requests/spot a bug, leave me an issue and I'll try and tackle it when I can. I'm also open to sensible PRs.
If you're a more experienced Rust dev and you spy any inefficiencies, I'd be grateful for your feedback. I'm a relatively new Rustacean :crab: who works full-time as a Python-native ML Engineer, and therefore I might do dumb things sometimes.
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"description": "# syllarust\nA simple syllable counter implemented natively in Rust. This is based on the work of the [python-syllables team](https://github.com/prosegrinder/python-syllables), which implents the same functionality in Python.\n\nMy goal was to bring the same ease/simplicity to Rust - and use Rust's fearless concurrency model to help improve the speed/quality at which syllable counts can be generated. This means if you're trying to generate syllable counts for large NLP/LLM applications where speed matters, this may be the crate you're looking for!\n\n## Parallelism snippet using Rayon\n```Rust\nuse syllarust::estimate_syllables;\nuse rayon::prelude::*;\n\nfn main() {\n let test_strs: Vec<&str> = vec![\n \"Apple\",\n \"Tart\",\n \"plate\",\n \"Pontificate\",\n \"Hello\"\n ];\n \n let start = Instant::now();\n let results: Vec<usize> = test_strs.par_iter()\n .map(|s| estimate_syllables(s))\n .collect();\n\n let stop = Instant::now();\n println!(\"{:?}\", stop - start);\n println!(\"{:?}\", results);\n}\n```\n\n## Contributions/Issues\nThis is currently a work-in-progress repo. If you have any feature requests/spot a bug, leave me an issue and I'll try and tackle it when I can. I'm also open to sensible PRs.\n\nIf you're a more experienced Rust dev and you spy any inefficiencies, I'd be grateful for your feedback. I'm a relatively new Rustacean :crab: who works full-time as a Python-native ML Engineer, and therefore I might do dumb things sometimes.\n\n",
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