split-vnm-words package
Project description
Split words
Implementation of tools helps to convert the rect of sentence-level and phrase-level to word-level by using linear interpolation.
Installation
cd <this-repo>
pip install .
Usage
from splitwords import Splitter
import re
splitter = Splitter(languages=['vi', 'en', 'teencode'])
paragraph = "Chất liệudẻo. Màu sắcđen đen. Dép đẹp lắm luônn ạ. Miksăn được k thikquá tr. shipperthân thiện"
sentence_ls = []
pat = re.compile(r"([.()!])")
paragraph = pat.sub(" \\1 ", paragraph)
new_paragraph = []
new_w = None
for w in paragraph.split():
if len(w) > 3:
new_w = splitter.split(w.upper())
else:
new_w = None
new_paragraph += [
' '.join(new_w).lower() if new_w is not None else w.lower()
]
new_paragraph = ' '.join(new_paragraph)
print(new_paragraph)
Expected output:
chất liệu dẻo . màu sắc đen đen . dép đẹp lắm luôn n ạ . mik săn được k thik quá tr . shipper thân thiện
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
split-vnm-words-0.0.2.tar.gz
(3.4 kB
view details)
File details
Details for the file split-vnm-words-0.0.2.tar.gz.
File metadata
- Download URL: split-vnm-words-0.0.2.tar.gz
- Upload date:
- Size: 3.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.10.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
463c89c20508d250cda42020932378f782f1d6146eb36329cbcaa495808e4c05
|
|
| MD5 |
efdc379b4403edf6e891aafb9fccd46b
|
|
| BLAKE2b-256 |
60587b15992082d27c79beda15a127f0fbc6d7bacbbc5cd699e1f554a6babb60
|