Translators - is a library which aims to bring free, multiple, enjoyable translation to individuals and students in Python

Overview

PyPI - Version PyPI - License PyPI - Python PyPI - Status PyPI - Wheel Downloads


Translators is a library which aims to bring free, multiple, enjoyable translation to individuals and students in Python. It based on the translation interface of Google, Yandex, Microsoft(Bing), Baidu, Alibaba, Tencent, NetEase(Youdao), Sogou, Kingsoft(Iciba), Iflytek, Deepl, Caiyun, Argos, etc.

Installation

From PyPI

# Windows, Mac, Linux
pip install translators --upgrade

# Linux javascript runtime environment:
sudo yum -y install nodejs

From Source

git clone https://github.com/UlionTse/translators.git
cd translators
python setup.py install

Getting Started

import translators as ts

wyw_text = '季姬寂,集鸡,鸡即棘鸡。棘鸡饥叽,季姬及箕稷济鸡。'
chs_text = '季姬感到寂寞,罗集了一些鸡来养,鸡是那种出自荆棘丛中的野鸡。野鸡饿了唧唧叫,季姬就拿竹箕中的谷物喂鸡。'
html_text = '''



	这是标题


这是文章《你的父亲》

''' ## language # input languages print(ts.google(wyw_text)) # default: from_language='auto', to_language='en' # output language_map print(ts._google.language_map) ## professional field print(ts.alibaba(wyw_text, professional_field='general')) # ("general","message","offer") print(ts.baidu(wyw_text, professional_field='common')) # ('common','medicine','electronics','mechanics') print(ts.caiyun(wyw_text, from_language='zh', professional_field=None)) # ("medicine","law","machinery") ## property rs = [ts.tencent(x) for x in [wyw_text, chs_text]] print(ts._tencent.query_count) print(dir(ts._tencent)) ## requests print(ts.youdao(wyw_text, sleep_seconds=5, timeout=None, proxies=None)) ## host # cn print(ts.google(wyw_text, if_use_cn_host=True)) print(ts.bing(wyw_text, if_use_cn_host=False)) # reset host print(ts.google(wyw_text, reset_host_url=None)) print(ts.yandex(wyw_text, reset_host_url=None)) ## detail result print(ts.sogou(wyw_text, is_detail_result=True)) ## translate html print(ts.translate_html(html_text, translator=ts.google, to_language='en', n_jobs=-1)) ## others print(ts._argos.host_pool) print(ts.argos(wyw_text, reset_host_url=None)) ## help help(ts.google)

Issues

Linux Runtime Environment

  1. To support javascript runtime environment, you should sudo yum -y install nodejs .
  2. PS, ts.baidu() does not work on Linux without desktop.

Supported Country and Region Service

  1. If you have requests error, please check whether this service is provided in your country or region.
  2. Check the website about eg: help(ts.google).

HttpError 4xx

  1. Please check whether you made high frequency requests.
  2. Please check whether this service is provided in your country or region.
  3. Detail to solve HttpError itself.
  4. Please issue me, thanks.

RequestsError or ProxyError

  1. Check whether the advanced version of requests you have installed can access the site properly. If not, try lowering the version or otherwise.
  2. Check that agents are enabled on your computer. If it is enabled, try turning it off or otherwise.

More About Translators

Features

Translator Number of Supported Languages Advantage
Iciba 187 support the most languages in the world
Google 109 support more languages in the world
Bing 102 support more languages in the world
Yandex 100 support more languages in the world, support word to emoji
Iflytek 70 support more languages in the world
Sogou 61 support more languages in the world
Baidu 28 support main languages, support professional field
Deepl 24 high quality to translate but response slowly
Tencent 17 support main languages
Argos 17 support main languages , open-source
Youdao 15 support main languages, high quality
Alibaba 12 support main languages, support professional field
Caiyun 6 high quality to translate but response slowly, support professional field

Support Language

Language Language of Translator Google Yandex Bing Baidu Alibaba Tencent Youdao Sogou Deepl Caiyun Argos Iciba Iflytek
english en Y Y Y Y Y Y Y Y Y Y Y ... ...
chinese zh Y Y Y Y Y Y Y Y Y Y Y
arabic ar Y Y Y Y(ara) Y Y Y Y Y
russian ru Y Y Y Y Y Y Y Y Y Y Y
french fr Y Y Y Y(fra) Y Y Y Y Y Y Y
german de Y Y Y Y Y Y Y Y Y
spanish es Y Y Y Y(spa) Y Y Y Y Y Y Y
portuguese pt Y Y Y(pt/pt-pt) Y Y Y Y Y Y Y
italian it Y Y Y Y Y Y Y Y Y Y
japanese ja Y Y Y Y(jp) Y Y Y Y Y Y
korean ko Y Y Y Y(kor) Y Y Y Y
greek el Y Y Y Y Y Y
dutch nl Y Y Y Y Y Y Y
hindi hi Y Y Y Y Y Y
turkish tr Y Y Y Y Y Y Y
malay ms Y Y Y Y Y
thai th Y Y Y Y Y Y Y
vietnamese vi Y Y Y Y(vie) Y Y Y Y Y
indonesian id Y Y Y Y Y Y Y Y
hebrew he Y(iw) Y Y Y
polish pl Y Y Y Y Y Y Y
mongolian mn Y Y Y(nm)
czech cs Y Y Y Y Y Y
hungarian hu Y Y Y Y Y Y
estonian et Y Y Y Y(est) Y Y
bulgarian bg Y Y Y Y(bul) Y Y
danish da Y Y Y Y(dan) Y Y
finnish fi Y Y Y Y(fin) Y Y
romanian ro Y Y Y Y(rom) Y Y
swedish sv Y Y Y Y(swe) Y Y
slovenian sl Y Y Y Y(slo) Y Y
persian/farsi fa Y Y Y Y
bosnian bs Y Y Y(bs-Latn) Y(bs-Latn)
serbian sr Y Y Y(sr-Latn/sr-Cyrl) Y(sr-Latn/sr-Cyrl)
fijian fj Y Y
filipino tl Y Y Y(fil) Y(fil)
haitiancreole ht Y Y Y Y
catalan ca Y Y Y Y
croatian hr Y Y Y Y
latvian lv Y Y Y Y Y
lithuanian lt Y Y Y Y Y
urdu ur Y Y Y Y
ukrainian uk Y Y Y Y
welsh cy Y Y Y Y
tahiti ty Y Y
tongan to Y Y
swahili sw Y Y Y Y
samoan sm Y Y Y
slovak sk Y Y Y Y Y
afrikaans af Y Y Y Y
norwegian no Y Y Y Y
bengali bn Y Y Y(bn-BD) Y
malagasy mg Y Y Y Y
maltese mt Y Y Y Y
queretaro otomi otq Y Y
klingon/tlhingan hol tlh Y Y
gujarati gu Y Y Y
tamil ta Y Y Y
telugu te Y Y Y
punjabi pa Y Y Y
amharic am Y Y
azerbaijani az Y Y
bashkir ba Y
belarusian be Y Y
cebuano ceb Y Y
chuvash cv Y
esperanto eo Y Y
basque eu Y Y
irish ga Y Y Y
emoji emj Y
... ...

More supported language, eg:

# request once first, then:
print(ts._google.language_map)

About Chinese Language

Language Language of Translator Google Yandex Bing Baidu Alibaba Tencent Youdao Sogou Iciba Iflytek Caiyun Deepl Argos
Chinese(简体) zh-CHS Y(zh-CN) Y(zh) Y(zh-Hans) Y(zh) Y(zh) Y(zh) Y Y Y(zh) Y(zh) Y(zh) Y(zh) Y(zh)
Chinese(繁体) zh-CHT Y(zh-TW) Y(zh-Hant) Y(cht) Y(zh-TW) Y Y(cnt)
Chinese(文言文) wyw Y
Chinese(粤语) yue Y Y Y Y Y
Chinese(内蒙语) mn N[外蒙] N[外蒙] Y[内蒙]
Chinese(维吾尔语) uy Y
Chinese(藏语) ti Y
Chinese(白苗文) mww Y Y Y
Chinese(彝语) ii Y

License

MIT Llicense

Pipeline for training LSA models using Scikit-Learn.

Latent Semantic Analysis Pipeline for training LSA models using Scikit-Learn. Usage Instead of writing custom code for latent semantic analysis, you j

Dani El-Ayyass 23 Sep 05, 2022
Reading Wikipedia to Answer Open-Domain Questions

DrQA This is a PyTorch implementation of the DrQA system described in the ACL 2017 paper Reading Wikipedia to Answer Open-Domain Questions. Quick Link

Facebook Research 4.3k Jan 01, 2023
Yodatranslator is a simple translator English to Yoda-language

yodatranslator Overview yodatranslator is a simple translator English to Yoda-language. Project is created for educational purposes. It is intended to

1 Nov 11, 2021
txtai: Build AI-powered semantic search applications in Go

txtai: Build AI-powered semantic search applications in Go txtai executes machine-learning workflows to transform data and build AI-powered semantic s

NeuML 49 Dec 06, 2022
Google AI 2018 BERT pytorch implementation

BERT-pytorch Pytorch implementation of Google AI's 2018 BERT, with simple annotation BERT 2018 BERT: Pre-training of Deep Bidirectional Transformers f

Junseong Kim 5.3k Jan 07, 2023
Datasets of Automatic Keyphrase Extraction

This repository contains 20 annotated datasets of Automatic Keyphrase Extraction made available by the research community. Following are the datasets and the original papers that proposed them. If yo

LIAAD - Laboratory of Artificial Intelligence and Decision Support 163 Dec 23, 2022
Continuously update some NLP practice based on different tasks.

NLP_practice We will continuously update some NLP practice based on different tasks. prerequisites Software pytorch = 1.10 torchtext = 0.11.0 sklear

0 Jan 05, 2022
Pipelines de datos, 2021.

Este repo ilustra un proceso sencillo de automatización de transformación y modelado de datos, a través de un pipeline utilizando Luigi. Stack princip

Rodolfo Ferro 8 May 19, 2022
ETM - R package for Topic Modelling in Embedding Spaces

ETM - R package for Topic Modelling in Embedding Spaces This repository contains an R package called topicmodels.etm which is an implementation of ETM

bnosac 37 Nov 06, 2022
Topic Inference with Zeroshot models

zeroshot_topics Table of Contents Installation Usage License Installation zeroshot_topics is distributed on PyPI as a universal wheel and is available

Rita Anjana 55 Nov 28, 2022
Blazing fast language detection using fastText model

Luga A blazing fast language detection using fastText's language models Luga is a Swahili word for language. fastText provides a blazing fast language

Prayson Wilfred Daniel 18 Dec 20, 2022
中文問句產生器;使用台達電閱讀理解資料集(DRCD)

Transformer QG on DRCD The inputs of the model refers to we integrate C and A into a new C' in the following form. C' = [c1, c2, ..., [HL], a1, ..., a

Philip 1 Oct 22, 2021
Code for EmBERT, a transformer model for embodied, language-guided visual task completion.

Code for EmBERT, a transformer model for embodied, language-guided visual task completion.

41 Jan 03, 2023
LUKE -- Language Understanding with Knowledge-based Embeddings

LUKE (Language Understanding with Knowledge-based Embeddings) is a new pre-trained contextualized representation of words and entities based on transf

Studio Ousia 587 Dec 30, 2022
Repository for fine-tuning Transformers 🤗 based seq2seq speech models in JAX/Flax.

Seq2Seq Speech in JAX A JAX/Flax repository for combining a pre-trained speech encoder model (e.g. Wav2Vec2, HuBERT, WavLM) with a pre-trained text de

Sanchit Gandhi 21 Dec 14, 2022
[ICCV 2021] Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-identification

Counterfactual Attention Learning Created by Yongming Rao*, Guangyi Chen*, Jiwen Lu, Jie Zhou This repository contains PyTorch implementation for ICCV

Yongming Rao 89 Dec 18, 2022
Turkish Stop Words Türkçe Dolgu Sözcükleri

trstop Turkish Stop Words Türkçe Dolgu Sözcükleri In this repository I put Turkish stop words that is contained in the first 10 thousand words with th

Ahmet Aksoy 103 Nov 12, 2022
Journey is a NLP-Powered Developer assistant

Journey Journey is a NLP-Powered Developer assistant Using on the powerful Natural Language Processing library Mindmeld, this projects aims to assist

Christian Eilers 21 Dec 11, 2022
Code for paper: An Effective, Robust and Fairness-awareHate Speech Detection Framework

BiQQLSTM_HS Code and data for paper: Title: An Effective, Robust and Fairness-awareHate Speech Detection Framework. Authors: Guanyi Mou and Kyumin Lee

Guanyi Mou 2 Dec 27, 2022
Machine learning classifiers to predict American Sign Language .

ASL-Classifiers American Sign Language (ASL) is a natural language that serves as the predominant sign language of Deaf communities in the United Stat

Tarek idrees 0 Feb 08, 2022