🤕 spelling exceptions builder for lazy people

Overview

Yaspeller Dictionary (Auto)builder

CI

Usage

# this sample command generates `./yaspeller_report.json`
# yaspeller --report json --ignore-digits --ignore-text "'.*" --ignore-latin --only-errors --file-extensions ".md" --lang ru

python -m venv env
source env/bin/activate
pip install 
python src/dictionary.py yaspeller_report.json

Why

Yaspeller is nice, but there are too many anglicisms in a usual documentation. Normally you just want to ignore that, but there's the only possibility to add a regexp-array to ignore words.

This generates a array of dictionary words including all lexems for all cases like

[
    "[бБ]аг(а|ам|ами|ах|е|и|ов|ом|у)?",
    "[дД]ифф(а|ам|ами|ах|е|ов|ом|у|ы)?",
    "[кК]оммит(а|ам|ами|ах|е|ов|ом|у|ы)?",
    "[пП]атчинг(а|ам|ами|ах|е|и|ов|ом|у)?",
    "[рР]убист(а|ам|ами|ах|е|ов|ом|у|ы)?",
    "[сС]амоорганизованн(ого|ом|ому|ую|ые|ый|ым|ыми|ых)",
    "[тТ]икет(а|ам|ами|ах|е|ов|ом|у|ы)?",
    "коммитить"
]

from yaspeller errors (in text format looking like)

Spelling check:
✗ www.ruby-lang.org/ru/community/ruby-core/index.md 130 ms
-----
Typos: 9
1. патчингом (36:27)
2. коммитить (68:32, suggest: комитет)
3. багах (75:15, suggest: богах, баках, бегах)
4. баги (89:24, suggest: багги)
5. баг (96:25)
6. тикет (107:14, suggest: этикет)
7. дифф (115:18)
8. коммиту (147:24, suggest: комету, комнату)
9. коммита (148:58, suggest: комета)
-----

Live example

Initially created for www.ruby-lang.org translations spellchecking

Owner
Vlad Bokov
Vlad Bokov
Nested Named Entity Recognition

Nested Named Entity Recognition Training Dataset: CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark url: https://tianchi.aliyun.

8 Dec 25, 2022
This is a really simple text-to-speech app made with python and tkinter.

Tkinter Text-to-Speech App by Souvik Roy This is a really simple tkinter app which converts the text you have entered into a speech. It is created wit

Souvik Roy 1 Dec 21, 2021
Ecommerce product title recognition package

revizor This package solves task of splitting product title string into components, like type, brand, model and article (or SKU or product code or you

Bureaucratic Labs 16 Mar 03, 2022
An official implementation for "CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip Retrieval"

The implementation of paper CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip Retrieval. CLIP4Clip is a video-text retrieval model based

ArrowLuo 456 Jan 06, 2023
Large-scale open domain KNOwledge grounded conVERsation system based on PaddlePaddle

Knover Knover is a toolkit for knowledge grounded dialogue generation based on PaddlePaddle. Knover allows researchers and developers to carry out eff

606 Dec 28, 2022
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

Fairseq(-py) is a sequence modeling toolkit that allows researchers and developers to train custom models for translation, summarization, language mod

13.2k Jul 07, 2021
PyTorch code for EMNLP 2019 paper "LXMERT: Learning Cross-Modality Encoder Representations from Transformers".

LXMERT: Learning Cross-Modality Encoder Representations from Transformers Our servers break again :(. I have updated the links so that they should wor

Hao Tan 838 Dec 19, 2022
Official PyTorch implementation of SegFormer

SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers Figure 1: Performance of SegFormer-B0 to SegFormer-B5. Project page

NVIDIA Research Projects 1.4k Dec 29, 2022
A Flask Sentiment Analysis API, with visual implementation

The Sentiment Analysis Api was created using python flask module,it allows users to parse a text or sentence throught the (?text) arguement, then view the sentiment analysis of that sentence. It can

Ifechukwudeni Oweh 10 Jul 17, 2022
A script that automatically creates a branch name using google translation api and jira api

About google translation api와 jira api을 사용하여 자동으로 브랜치 이름을 만들어주는 스크립트 Setup 환경변수에 다음 3가지를 등록해야 한다. JIRA_USER : JIRA email (ex: hyunwook.kim 2 Dec 20, 2021

This converter will create the exact measure for your cappuccino recipe from the grandiose Rafaella Ballerini!

About CappuccinoJs This converter will create the exact measure for your cappuccino recipe from the grandiose Rafaella Ballerini! Este conversor criar

Arthur Ottoni Ribeiro 48 Nov 15, 2022
text to speech toolkit. 好用的中文语音合成工具箱,包含语音编码器、语音合成器、声码器和可视化模块。

ttskit Text To Speech Toolkit: 语音合成工具箱。 安装 pip install -U ttskit 注意 可能需另外安装的依赖包:torch,版本要求torch=1.6.0,=1.7.1,根据自己的实际环境安装合适cuda或cpu版本的torch。 ttskit的

KDD 483 Jan 04, 2023
Smart discord chatbot integrated with Dialogflow

academic-NLP-chatbot Smart discord chatbot integrated with Dialogflow to interact with students naturally and manage different classes in a school. De

Tom Huynh 5 Oct 24, 2022
Question answering app is used to answer for a user given question from user given text.

Question answering app is used to answer for a user given question from user given text.It is created using HuggingFace's transformer pipeline and streamlit python packages.

Siva Prakash 3 Apr 05, 2022
[Preprint] Escaping the Big Data Paradigm with Compact Transformers, 2021

Compact Transformers Preprint Link: Escaping the Big Data Paradigm with Compact Transformers By Ali Hassani[1]*, Steven Walton[1]*, Nikhil Shah[1], Ab

SHI Lab 367 Dec 31, 2022
NLP-SentimentAnalysis - Coursera Course ( Duration : 5 weeks ) offered by DeepLearning.AI

Coursera Natural Language Processing Specialization This repository contains material related to Coursera Natural Language Processing Specialization.

Nishant Sharma 1 Jun 05, 2022
GCRC: A Gaokao Chinese Reading Comprehension dataset for interpretable Evaluation

GCRC GCRC: A New Challenging MRC Dataset from Gaokao Chinese for Explainable Eva

Yunxiao Zhao 5 Nov 04, 2022
Use Google's BERT for named entity recognition (CoNLL-2003 as the dataset).

For better performance, you can try NLPGNN, see NLPGNN for more details. BERT-NER Version 2 Use Google's BERT for named entity recognition (CoNLL-2003

Kaiyinzhou 1.2k Dec 26, 2022
A PyTorch implementation of the Transformer model in "Attention is All You Need".

Attention is all you need: A Pytorch Implementation This is a PyTorch implementation of the Transformer model in "Attention is All You Need" (Ashish V

Yu-Hsiang Huang 7.1k Jan 05, 2023
Chinese Pre-Trained Language Models (CPM-LM) Version-I

CPM-Generate 为了促进中文自然语言处理研究的发展,本项目提供了 CPM-LM (2.6B) 模型的文本生成代码,可用于文本生成的本地测试,并以此为基础进一步研究零次学习/少次学习等场景。[项目首页] [模型下载] [技术报告] 若您想使用CPM-1进行推理,我们建议使用高效推理工具BMI

Tsinghua AI 1.4k Jan 03, 2023