khmercut
A (fast) Khmer word segmentation toolkit.
pip install khmercut
Python
from khmercut import tokenize
tokenize("ឃាត់ខ្លួនជនសង្ស័យ០៤នាក់ ករណីលួចខ្សែភ្លើង នៅស្រុកព្រៃនប់")
# => ['ឃាត់ខ្លួន', 'ជនសង្ស័យ', '០៤', 'នាក់', ' ', 'ករណី', 'លួច', 'ខ្សែភ្លើង', ' ', 'នៅ', 'ស្រុក', 'ព្រៃនប់']
Neural model
A distilled neural segmenter. More accurate, and it can split compound words.
pip install khmercut[nn]
from khmercut.nn import tokenize
tokenize("ឃាត់ខ្លួនជនសង្ស័យ០៤នាក់")
# => ['ឃាត់ខ្លួន', 'ជនសង្ស័យ', '០៤', 'នាក់']
tokenize("ឃាត់ខ្លួនជនសង្ស័យ០៤នាក់", deep=True)
# => [['ឃាត់', 'ខ្លួន'], ['ជន', 'សង្ស័យ'], ['០៤'], ['នាក់']]
With deep=True each word becomes a list of its sub-words. Spaces are returned
as ' ' and newlines as '\n'.
Both backends load lazily, so importing one does not pull in the other.
Reference
Metadata
Release files for khmercut 0.2.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| khmercut-0.2.0.tar.gz | 7.8 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| khmercut-0.2.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 15.6 MB
Release files / khmercut-0.2.0.tar.gz
| Download URL | khmercut-0.2.0.tar.gz |
|---|---|
| Size | 7.8 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Release files / khmercut-0.2.0-py3-none-any.whl
| Download URL | khmercut-0.2.0-py3-none-any.whl |
|---|---|
| Size | 7.8 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/7.0.0 CPython/3.14.6
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