Skip to main content

Spelling Correction for Vietnamese Informal Text

Project description

IFT Correction

IFT Correction(Informal Text Correction) is a library of spelling correction for Vietnamese informal text type(informal text is the type of text as daily communication messages)

Installation

pip install iftc

Example Usage

Only spelling correction for acronyms

from iftc.spelling_corrector import SpellingCorrector

corrector = SpellingCorrector()

corrected_text = corrector.acronym_correction('b ơi, món này giá bn thế')
print(corrected_text)

This should print:

'bạn ơi, món này giá bao nhiêu thế'

Spelling correction for detect spelling error

from iftc.spelling_corrector import SpellingCorrector

corrector = SpellingCorrector()

text, word_candidates = corrector.detect_spelling_error('b ơi, món này giá bn thế')
print(word_candidates)

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

iftc-1.1.9.tar.gz (54.9 kB view details)

Uploaded Source

Built Distribution

iftc-1.1.9-py3-none-any.whl (58.7 kB view details)

Uploaded Python 3

File details

Details for the file iftc-1.1.9.tar.gz.

File metadata

  • Download URL: iftc-1.1.9.tar.gz
  • Upload date:
  • Size: 54.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.8.16

File hashes

Hashes for iftc-1.1.9.tar.gz
Algorithm Hash digest
SHA256 231aa6cff1ed9b4546511ae096fed919fbb6288675a3475be99a899924565356
MD5 a8d82008fa09cd370955a852e850cf3d
BLAKE2b-256 cfd68f02bb32bcfc138cdbdd3793985850699537455e910d448188eb39e9bd97

See more details on using hashes here.

File details

Details for the file iftc-1.1.9-py3-none-any.whl.

File metadata

  • Download URL: iftc-1.1.9-py3-none-any.whl
  • Upload date:
  • Size: 58.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.8.16

File hashes

Hashes for iftc-1.1.9-py3-none-any.whl
Algorithm Hash digest
SHA256 a381bb8c81c74ff39e731917bbe05265640aba7731b91d31f7d4637a3adb8d28
MD5 6bb55ddea6392c090627154824d37d82
BLAKE2b-256 6ba732c99537106e832594ea8a81d596d84a0e9180644a5d6ad047ab4b74a124

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page