Lightning Fast Language Prediction 🚀

Overview

whatthelang

Build Status PyPI

Lightning Fast Language Prediction 🚀

Dependencies

The dependencies can be installed using the requirements.txt file:

$ pip install -r requirements.txt

Install

$ pip install whatthelang

Basic Usage

Predicting Language using whatthelang

>>> from whatthelang import WhatTheLang
>>> wtl = WhatTheLang()
>>> wtl.predict_lang("Mother")
'en'
>>> wtl.predict_lang("தாய்")
'ta'
>>> wtl.predict_lang("അമ്മ")
'ml'
>>> wtl.predict_lang("पिता")
'hi'

Batch Prediction is also supported

>>>wtl.predict_lang(["അമ്മ","पिता","teacher"])
['ml','hi','en']

Supported Languages

Supports 176 languages . The ISO codes for the corresponding languages are as below.

af als am an ar arz as ast av az azb ba bar bcl be bg bh bn bo bpy br bs bxr ca cbk
ce ceb ckb co cs cv cy da de diq dsb dty dv el eml en eo es et eu fa fi fr frr fy ga
gd gl gn gom gu gv he hi hif hr hsb ht hu hy ia id ie ilo io is it ja jbo jv ka kk km
kn ko krc ku kv kw ky la lb lez li lmo lo lrc lt lv mai mg mhr min mk ml mn mr mrj ms
mt mwl my myv mzn nah nap nds ne new nl nn no oc or os pa pam pfl pl pms pnb ps pt qu
rm ro ru rue sa sah sc scn sco sd sh si sk sl so sq sr su sv sw ta te tg th tk tl tr
tt tyv ug uk ur uz vec vep vi vls vo wa war wuu xal xmf yi yo yue zh

Model Training Details

Quantized model built using Fasttext. More details present in the fasttext blog

Reference

whatthelang is powered by FastText

Enriching Word Vectors with Subword Information

[1] P. Bojanowski*, E. Grave*, A. Joulin, T. Mikolov, Enriching Word Vectors with Subword Information

@article{bojanowski2016enriching,
  title={Enriching Word Vectors with Subword Information},
  author={Bojanowski, Piotr and Grave, Edouard and Joulin, Armand and Mikolov, Tomas},
  journal={arXiv preprint arXiv:1607.04606},
  year={2016}
}

Bag of Tricks for Efficient Text Classification

[2] A. Joulin, E. Grave, P. Bojanowski, T. Mikolov, Bag of Tricks for Efficient Text Classification

@article{joulin2016bag,
  title={Bag of Tricks for Efficient Text Classification},
  author={Joulin, Armand and Grave, Edouard and Bojanowski, Piotr and Mikolov, Tomas},
  journal={arXiv preprint arXiv:1607.01759},
  year={2016}
}

FastText.zip: Compressing text classification models

[3] A. Joulin, E. Grave, P. Bojanowski, M. Douze, H. Jégou, T. Mikolov, FastText.zip: Compressing text classification models

@article{joulin2016fasttext,
  title={FastText.zip: Compressing text classification models},
  author={Joulin, Armand and Grave, Edouard and Bojanowski, Piotr and Douze, Matthijs and J{\'e}gou, H{\'e}rve and Mikolov, Tomas},
  journal={arXiv preprint arXiv:1612.03651},
  year={2016}
}
Owner
Indix
everything about products
Indix
An expandable and scalable OCR pipeline

Overview Nidaba is the central controller for the entire OGL OCR pipeline. It oversees and automates the process of converting raw images into citable

81 Jan 04, 2023
Bu uygulamada Python ve Opencv kullanarak bilgisayar kamerasından yüz tespiti yapıyoruz.

opencv_yuz_bulma Bu uygulamada Python ve Opencv kullanarak bilgisayar kamerasından yüz tespiti yapıyoruz. Bilgisarın kendi kamerasını kullanmak için;

Ahmet Haydar Ornek 6 Apr 16, 2022
Volume Control using OpenCV

Gesture-Volume-Control Volume Control using OpenCV Here i made volume control using Python and OpenCV in which we can control the volume of our laptop

Mudit Sinha 3 Oct 10, 2021
Using python libraries to track hands

Python-HandTracking Using python libraries to track hands on a camera Uses cv2 and mediapipe libraries custom hand tracking module PyCharm IDE Final E

Martin Matsudaira 1 Dec 17, 2021
Image processing is one of the most common term in computer vision

Image processing is one of the most common term in computer vision. Computer vision is the process by which computers can understand images and videos, and how they are stored, manipulated, and retri

Happy N. Monday 3 Feb 15, 2022
graph learning code for ogb

The final code for OGB Installation Requirements: ogb=1.3.1 torch=1.7.0 torch-geometric=1.7.0 torch-scatter=2.0.6 torch-sparse=0.6.9 Baseline models T

PierreHao 20 Nov 10, 2022
CRAFT-Pyotorch:Character Region Awareness for Text Detection Reimplementation for Pytorch

CRAFT-Reimplementation Note:If you have any problems, please comment. Or you can join us weChat group. The QR code will update in issues #49 . Reimple

453 Dec 28, 2022
Color Picker and Color Detection tool for METR4202

METR4202 Color Detection Help This is sample code that can be used for the METR4202 project demo. There are two files provided, both running on Python

Miguel Valencia 1 Oct 23, 2021
Convert PDF/Image to TXT using EasyOcr - the best OCR engine available!

PDFImage2TXT - DOWNLOAD INSTALLER HERE What can you do with it? Convert scanned PDFs to TXT. Convert scanned Documents to TXT. No coding required!! In

Hans Alemão 2 Feb 22, 2022
This project modify tensorflow object detection api code to predict oriented bounding boxes. It can be used for scene text detection.

This is an oriented object detector based on tensorflow object detection API. Most of the code is not changed except for those related to the need of

Dafang He 30 Oct 22, 2022
A curated list of promising OCR resources

Call for contributor(paper summary,dataset generation,algorithm implementation and any other useful resources) awesome-ocr A curated list of promising

wanghaisheng 1.6k Jan 04, 2023
OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched

OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched or copy-pasted. ocrmypdf # it's a scriptable c

jbarlow83 7.9k Jan 03, 2023
Papers, Datasets, Algorithms, SOTA for STR. Long-time Maintaining

Scene Text Recognition Recommendations Everythin about Scene Text Recognition SOTA • Papers • Datasets • Code Contents 1. Papers 2. Datasets 2.1 Synth

Deep Learning and Vision Computing Lab, SCUT 197 Jan 05, 2023
SemTorch

SemTorch This repository contains different deep learning architectures definitions that can be applied to image segmentation. All the architectures a

David Lacalle Castillo 154 Dec 07, 2022
A dataset handling library for computer vision datasets in LOST-fromat

A dataset handling library for computer vision datasets in LOST-fromat

8 Dec 15, 2022
Crop regions in napari manually

napari-crop Crop regions in napari manually Usage Create a new shapes layer to annotate the region you would like to crop: Use the rectangle tool to a

Robert Haase 4 Sep 29, 2022
deployment of a hybrid model for automatic weapon detection/ anomaly detection for surveillance applications

Automatic Weapon Detection Deployment of a hybrid model for automatic weapon detection/ anomaly detection for surveillance applications. Loved the pro

Janhavi 4 Mar 04, 2022
This is the official PyTorch implementation of the paper "TransFG: A Transformer Architecture for Fine-grained Recognition" (Ju He, Jie-Neng Chen, Shuai Liu, Adam Kortylewski, Cheng Yang, Yutong Bai, Changhu Wang, Alan Yuille).

TransFG: A Transformer Architecture for Fine-grained Recognition Official PyTorch code for the paper: TransFG: A Transformer Architecture for Fine-gra

Ju He 307 Jan 03, 2023
WACV 2022 Paper - Is An Image Worth Five Sentences? A New Look into Semantics for Image-Text Matching

Is An Image Worth Five Sentences? A New Look into Semantics for Image-Text Matching Code based on our WACV 2022 Accepted Paper: https://arxiv.org/pdf/

Andres 13 Dec 17, 2022