Japanese synonym library

Related tags

Text Data & NLPchikkarpy
Overview

chikkarpy

PyPi version test

chikkarpyはchikkarのPython版です。 chikkarpy is a Python version of chikkar.

chikkarpy は Sudachi 同義語辞書を利用し、SudachiPyの出力に同義語展開を追加するために開発されたライブラリです。

単体でも同義語辞書の検索ツールとして利用できます。

利用方法 Usage

TL;DR

$ pip install chikkarpy

$ echo "閉店" | chikkarpy
閉店    クローズ,close,店仕舞い

Step 1. chikkarpyのインストール

$ pip install chikkarpy

Step 2. 使用方法

コマンドライン

$ echo "閉店" | chikkarpy
閉店    クローズ,close,店仕舞い

chikkarpyは入力された単語を見て一致する同義語のリストを返します。 同義語辞書内の曖昧性フラグが1の見出し語をトリガーにすることはできません。 出力はクエリ\t同義語リストの形式です。

$ chikkarpy search -h
usage: chikkarpy search [-h] [-d [file [file ...]]] [-ev] [-o file] [-v]
                        [file [file ...]]

Search synonyms

positional arguments:
  file                  text written in utf-8

optional arguments:
  -h, --help            show this help message and exit
  -d [file [file ...]]  synonym dictionary (default: system synonym
                        dictionary)
  -ev                   Enable verb and adjective synonyms.
  -o file               the output file
  -v, --version         print chikkarpy version

自分で用意したユーザー辞書を使いたい場合は-dで読み込むバイナリ辞書を指定できます。 （バイナリ辞書のビルドは辞書の作成を参照してください。） 複数辞書を読み込む場合は順番に注意してください。 以下の場合，user2 > user > system の順で同義語を検索して見つかった時点で検索結果を返します。

chikkarpy -d system.dic user.dic user2.dic

また、出力はデフォルトで体言のみです。 用言も出力したい場合は-evを有効にしてください。

$ echo "開放" | chikkarpy
開放	オープン,open
$ echo "開放" | chikkarpy -ev
開放	開け放す,開く,オープン,open

python ライブラリ

使用例

from chikkarpy import Chikkar
from chikkarpy.dictionarylib import Dictionary

chikkar = Chikkar()

system_dic = Dictionary("system.dic", False)
chikkar.add_dictionary(system_dic)

print(chikkar.find("閉店"))
# => ['クローズ', 'close', '店仕舞い']

print(chikkar.find("閉店", group_ids=[5])) # グループIDによる検索
# => ['クローズ', 'close', '店仕舞い']

print(chikkar.find("開放"))
# => ['オープン', 'open']

chikkar.enable_verb() # 用言の出力制御（デフォルトは体言のみ出力）
print(chikkar.find("開放"))
# => ['開け放す', '開く', 'オープン', 'open']

chikkar.add_dictionary()で複数の辞書を読み込ませる場合は順番に注意してください。 最後に読み込んだ辞書を優先して検索します。

辞書の作成 Build a dictionary

新しく辞書を追加する場合は、利用前にバイナリ形式辞書の作成が必要です。 Before using new dictionary, you need to create a binary format dictionary.

$ chikkarpy build -i synonym_dict.csv -o system.dic 
$ chikkarpy build -h
usage: chikkarpy build [-h] -i file [-o file] [-d string]

Build Synonym Dictionary

optional arguments:
  -h, --help  show this help message and exit
  -i file     dictionary file (csv)
  -o file     output file (default: synonym.dic)
  -d string   description comment to be embedded on dictionary

開発者向け

Code Format

scripts/lint.sh を実行して、コードが正しいフォーマットかを確認してください。

flake8 flake8-import-order flake8-builtins が必要です。

Test

scripts/test.sh を実行してテストしてください。

Contact

chikkarpyはWAP Tokushima Laboratory of AI and NLPによって開発されています。

開発者やユーザーの方々が質問したり議論するためのSlackワークスペースを用意しています。

You might also like...
Script to download some free japanese lessons in portuguse from NHK
Script to download some free japanese lessons in portuguse from NHK

Nihongo_nhk This is a script to download some free japanese lessons in portuguese from NHK. It can be executed by installing the packages with: pip in

Matheus Alves 2 Jan 6, 2022
An open collection of annotated voices in Japanese language

声庭 (Koniwa): オープンな日本語音声とアノテーションのコレクション Koniwa (声庭): An open collection of annotated voices in Japanese language 概要 Koniwa(声庭)は利用・修正・再配布が自由でオープンな音声とアノテ

Koniwa project 32 Dec 14, 2022
Japanese Long-Unit-Word Tokenizer with RemBertTokenizerFast of Transformers

Japanese-LUW-Tokenizer Japanese Long-Unit-Word (国語研長単位) Tokenizer for Transformers based on 青空文庫 Basic Usage from transformers import RemBertToken

Koichi Yasuoka 3 Dec 22, 2021
PyJPBoatRace: Python-based Japanese boatrace tools 🚤

pyjpboatrace :speedboat: provides you with useful tools for data analysis and auto-betting for boatrace.

null 5 Oct 29, 2022
aMLP Transformer Model for Japanese

aMLP-japanese Japanese aMLP Pretrained Model aMLPとは、Liu, Daiらが提案する、Transformerモデルです。 ざっくりというと、BERTの代わりに使えて、より性能の良いモデルです。 詳しい解説は、こちらの記事などを参考にしてください。 この

tanreinama 13 Aug 11, 2022
A Japanese tokenizer based on recurrent neural networks
A Japanese tokenizer based on recurrent neural networks

Nagisa is a python module for Japanese word segmentation/POS-tagging. It is designed to be a simple and easy-to-use tool. This tool has the following

null 325 Jan 5, 2023
This repository has a implementations of data augmentation for NLP for Japanese.

daaja This repository has a implementations of data augmentation for NLP for Japanese: EDA: Easy Data Augmentation Techniques for Boosting Performance

Koga Kobayashi 60 Nov 11, 2022
Visual Automata is a Python 3 library built as a wrapper for Caleb Evans' Automata library to add more visualization features.
Visual Automata is a Python 3 library built as a wrapper for Caleb Evans' Automata library to add more visualization features.

Visual Automata Copyright 2021 Lewi Lie Uberg Released under the MIT license Visual Automata is a Python 3 library built as a wrapper for Caleb Evans'

Lewi Uberg 55 Nov 17, 2022
Text to speech is a process to convert any text into voice. Text to speech project takes words on digital devices and convert them into audio. Here I have used Google-text-to-speech library popularly known as gTTS library to convert text file to .mp3 file. Hope you like my project!
Text to speech is a process to convert any text into voice. Text to speech project takes words on digital devices and convert them into audio. Here I have used Google-text-to-speech library popularly known as gTTS library to convert text file to .mp3 file. Hope you like my project!

Text to speech (using Python) Text to speech is a process to convert any text into voice. Text to speech project takes words on digital devices and co

null 19 Jun 30, 2022
Comments
  • pip install does not work under SudachiPy 0.6.x environment / SudachiPy 0.6.x の環境下で pip install が通らない

    pip install does not work under SudachiPy 0.6.x environment / SudachiPy 0.6.x の環境下で pip install が通らない

    temporary solution / 暫定的な解決方法

    Install SudachiPy 0.5.4, then chikkarpy, then reinstall the latest version of SudachiPy. SudachiPy 0.5.4 をインストールしてから、chikkarpy をインストールし、その後 SudachiPy 最新版を再インストールする。

    pip install sudachipy==0.5.4 --upgrade
pip install sudachidict_core
pip install chikkarpy
pip install sudachipy --upgrade
    opened by Nishihara-Daiki 1
  • chikkarpy has no attribute 'dictionarylib' in certain cases

    chikkarpy has no attribute 'dictionarylib' in certain cases

    case 1: raised ERROR if call chikkarpy.dictionarylib

    $ pip install chikkarpy
$ python
>>> import chikkarpy
>>> chikkarpy.dictionarylib
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
AttributeError: module 'chikkarpy' has no attribute 'dictionarylib'

    case 2: pass if use from chikkarpy import dictionarylib

    $ pip install chikkarpy
$ python
>>> from chikkarpy import dictionarylib
>>> dictionarylib
<module 'chikkarpy.dictionarylib' from '/usr/local/lib/python3.7/dist-packages/chikkarpy/dictionarylib/__init__.py'>

    case 3: pass if call chikkarpy.dictionarylib AFTER from chikkarpy import dictionarylib

    $ pip install chikkarpy
$ python
>>> import chikkarpy
>>> from chikkarpy import dictionarylib
>>> chikkarpy.dictionarylib
<module 'chikkarpy.dictionarylib' from '/usr/local/lib/python3.7/dist-packages/chikkarpy/dictionarylib/__init__.py'>
    opened by Nishihara-Daiki 0
Releases(v0.1.1)
Owner
Works Applications
Works Applications
GitHub Repository
[NeurIPS 2021] Code for Learning Signal-Agnostic Manifolds of Neural Fields

Learning Signal-Agnostic Manifolds of Neural Fields This is the uncleaned code for the paper Learning Signal-Agnostic Manifolds of Neural Fields. The

60 Dec 12, 2022
华为商城抢购手机的Python脚本 Python script of Huawei Store snapping up mobile phones

HUAWEI STORE GO 2021 说明 基于Python3+Selenium的华为商城抢购爬虫脚本，修改自近两年没更新的项目BUY-HW，为女神抢Nova 8（什么时候华为开始学小米玩饥饿营销了？） 原项目的登陆以及抢购部分已经不可用，本项目对原项目进行了改正以适应新华为商城，并增加一些功能

ZhangLiang 111 Dec 22, 2022
Biterm Topic Model (BTM): modeling topics in short texts

Biterm Topic Model Bitermplus implements Biterm topic model for short texts introduced by Xiaohui Yan, Jiafeng Guo, Yanyan Lan, and Xueqi Cheng. Actua

Maksim Terpilowski 49 Dec 30, 2022
Text editor on python to convert english text to malayalam(Romanization/Transiteration).

Manglish Text Editor This is a simple transiteration (romanization ) program which is used to convert manglish to malayalam (converts njaan to ഞാൻ ).

Merin Rose Tom 1 May 11, 2022
Quantifiers and Negations in RE Documents

Quantifiers-and-Negations-in-RE-Documents This project was part of my work for a

Nicolas Ruscher 1 Feb 01, 2022
Checking spelling of form elements

Checking spelling of form elements. You can check the source files of external workflows/reports and configuration files

СКБ Контур (команда 1с) 15 Sep 12, 2022
PG-19 Language Modelling Benchmark

PG-19 Language Modelling Benchmark This repository contains the PG-19 language modeling benchmark. It includes a set of books extracted from the Proje

DeepMind 161 Oct 30, 2022
基于Transformer的单模型、多尺度的VAE模型

UniVAE 基于Transformer的单模型、多尺度的VAE模型 介绍 https://kexue.fm/archives/8475 依赖 需要大于0.10.6版本的bert4keras（当前还没有推到pypi上，可以直接从GitHub上clone最新版）。 引用 @misc{univae,

苏剑林(Jianlin Su) 49 Aug 24, 2022
Implementation of ProteinBERT in Pytorch

ProteinBERT - Pytorch (wip) Implementation of ProteinBERT in Pytorch. Original Repository Install $ pip install protein-bert-pytorch Usage import torc

Phil Wang 92 Dec 25, 2022
Baseline code for Korean open domain question answering(ODQA)

Open-Domain Question Answering(ODQA)는 다양한 주제에 대한 문서 집합으로부터 자연어 질의에 대한 답변을 찾아오는 task입니다. 이때 사용자 질의에 답변하기 위해 주어지는 지문이 따로 존재하지 않습니다. 따라서 사전에 구축되어있는 Knowl

VUMBLEB 69 Nov 04, 2022
VampiresVsWerewolves - Our Implementation of a MiniMax algorithm with alpha beta pruning in the context of an in-class competition

VampiresVsWerewolves Our Implementation of a MiniMax algorithm with alpha beta pruning in the context of an in-class competition. Our Algorithm finish

Shawn 1 Jan 21, 2022
Tutorial to pretrain & fine-tune a 🤗 Flax T5 model on a TPUv3-8 with GCP

Pretrain and Fine-tune a T5 model with Flax on GCP This tutorial details how pretrain and fine-tune a FlaxT5 model from HuggingFace using a TPU VM ava

Gabriele Sarti 41 Nov 18, 2022
Sinkhorn Transformer - Practical implementation of Sparse Sinkhorn Attention

Sinkhorn Transformer This is a reproduction of the work outlined in Sparse Sinkhorn Attention, with additional enhancements. It includes a parameteriz

Phil Wang 217 Nov 25, 2022
PORORO: Platform Of neuRal mOdels for natuRal language prOcessing

PORORO: Platform Of neuRal mOdels for natuRal language prOcessing pororo performs Natural Language Processing and Speech-related tasks. It is easy to

Kakao Brain 1.2k Dec 21, 2022
TweebankNLP - Pre-trained Tweet NLP Pipeline (NER, tokenization, lemmatization, POS tagging, dependency parsing) + Models + Tweebank-NER

TweebankNLP This repo contains the new Tweebank-NER dataset and off-the-shelf Twitter-Stanza pipeline for state-of-the-art Tweet NLP, as described in

Laboratory for Social Machines 84 Dec 20, 2022
texlive expressions for documents

tex2nix Generate Texlive environment containing all dependencies for your document rather than downloading gigabytes of texlive packages. Installation

Jörg Thalheim 70 Dec 26, 2022
Twitter-Sentiment-Analysis - Twitter sentiment analysis for india's top online retailers(2019 to 2022)

Twitter-Sentiment-Analysis Twitter sentiment analysis for india's top online retailers(2019 to 2022) Project Overview : Sentiment Analysis helps us to

Balaji R 1 Jan 01, 2022
This is a NLP based project to extract effective date of the contract from their text files.

Date-Extraction-from-Contracts This is a NLP based project to extract effective date of the contract from their text files. Problem statement This is

Sambhav Garg 1 Jan 26, 2022
Research code for the paper "Fine-tuning wav2vec2 for speaker recognition"

Fine-tuning wav2vec2 for speaker recognition This is the code used to run the experiments in https://arxiv.org/abs/2109.15053. Detailed logs of each t

Nik 103 Dec 26, 2022
ttslearn: Library for Pythonで学ぶ音声合成 (Text-to-speech with Python)

ttslearn: Library for Pythonで学ぶ音声合成 (Text-to-speech with Python) 日本語は以下に続きます (Japanese follows) English: This book is written in Japanese and primaril

Ryuichi Yamamoto 189 Dec 29, 2022