Code for the paper titled "Prabhupadavani: A Code-mixed Speech Translation Data for 25 languages"

Related tags

Deep LearningCMST
Overview

Prabhupadavani: A Code-mixed Speech Translation Data for 25 languages

Code for the paper titled "Prabhupadavani: A Code-mixed Speech Translation Data for 25 languages"

File organization

  • Preprocessing : contains all files used to preprocess the data (Python 3.6)
  • Data : contains data required to run this code
  • Statistics : contains all files that contains statistics of the dataset

Dataset

file name discription
train/test/dev.csv This is the dataset for code-mixed Speech Translation.
chopped_audios This contains all the audios, transcription and translation.

Statistics of Corpora contained

Languages #types #tokens Types per line Tokens per line Avg. token length
English[100%] 40,324 601889 10.58 11.27 4.92
French (France) 50510 645651 11.38 12.09 5.08
German[100%] 50748 584575 10.44 10.95 5.57
Gujarati[100%] 41959 584989 10.37 10.95 4.46
Hindi[100%] 29744 716800 12.36 13.42 3.74
Hungarian[100%] 84872 506608 9.13 9.49 5.89
Indonesian[100%] 39365 653374 11.54 12.23 6.14
Italian[100%] 52372 512061 9.23 9.59 5.37
Latvian[100%] 70040 477106 8.69 8.93 5.72
Lithuanian[100%] 75222 491558 8.92 9.2 6.04
Nepali[100%] 52630 570268 10.03 10.68 4.88
Persian (Farsi)[100%] 51722 598096 10.61 11.2 4.1
Polish[100%] 71662 494263 8.99 9.25 5.86
Portuguese (Brazil)[100%] 50087 608432 10.8 11.39 5.12
Russian[100%] 72162 490908 8.96 9.19 5.79
Slovak[100%] 73789 520465 9.39 9.75 5.37
Slovenian[100%] 68619 516649 9.35 9.67 5.3
Spanish[100%] 49806 608868 10.75 11.4 5.07
Swedish[100%] 48233 581751 10.31 10.89 5
Tamil[100%] 84183 460678 8.37 8.63 7.65
Telugu[100%] 72006 464665 8.34 8.7 6.56
Turkish[100%] 78957 453521 8.27 8.49 6.35
Bulgarian[100%] 60712 564150 10.1 10.56 5.24
Croatian[100%] 73075 531326 9.58 9.95 5.28
Danish[100%] 50170 587253 10.4 11 4.98
Dutch[100%] 42716 595464 10.52 11.15 5.05

Code-mixing

All languages in Code-mixing

Language Total Words Unique Words Percentage
English 500136 6312 83.6
Bengali 46933 3907 7.84
Sanskrit 51246 7202 8.56
Total 598315 17421 100

Types of Code-mixing

English-Sanskrit Sanskrit-English English-Bengali Bengali-English
Inter-Sentential 2356 2366 339 339
Intra-Sentential 2338 851 124 0
Owner
Ayush Daksh
IIT Kharagpur | Mathematics & Computing | 3rd Year | NLP | UG Researcher
Ayush Daksh
Official repository of DeMFI (arXiv.)

DeMFI This is the official repository of DeMFI (Deep Joint Deblurring and Multi-Frame Interpolation). [ArXiv_ver.] Coming Soon. Reference Jihyong Oh a

Jihyong Oh 56 Dec 14, 2022
The official code for PRIMER: Pyramid-based Masked Sentence Pre-training for Multi-document Summarization

PRIMER The official code for PRIMER: Pyramid-based Masked Sentence Pre-training for Multi-document Summarization. PRIMER is a pre-trained model for mu

AI2 111 Dec 18, 2022
AI-UPV at IberLEF-2021 EXIST task: Sexism Prediction in Spanish and English Tweets Using Monolingual and Multilingual BERT and Ensemble Models

AI-UPV at IberLEF-2021 EXIST task: Sexism Prediction in Spanish and English Tweets Using Monolingual and Multilingual BERT and Ensemble Models Descrip

Angel de Paula 1 Jun 08, 2022
Boostcamp CV Serving For Python

Boostcamp-CV-Serving Prerequisites MySQL GCP Cloud Storage GCP key file Sentry Streamlit Cloud Secrets: .streamlit/secrets.toml #DO NOT SHARE THIS I

Jungwon Seo 19 Feb 22, 2022
Related resources for our EMNLP 2021 paper

Plan-then-Generate: Controlled Data-to-Text Generation via Planning Authors: Yixuan Su, David Vandyke, Sihui Wang, Yimai Fang, and Nigel Collier Code

Yixuan Su 61 Jan 03, 2023
official Pytorch implementation of ICCV 2021 paper FuseFormer: Fusing Fine-Grained Information in Transformers for Video Inpainting.

FuseFormer: Fusing Fine-Grained Information in Transformers for Video Inpainting By Rui Liu, Hanming Deng, Yangyi Huang, Xiaoyu Shi, Lewei Lu, Wenxiu

77 Dec 27, 2022
U-Net for GBM

My Final Year Project(FYP) In National University of Singapore(NUS) You need Pytorch(stable 1.9.1) Both cuda version and cpu version are OK File Str

PinkR1ver 1 Oct 27, 2021
Adversarial Graph Augmentation to Improve Graph Contrastive Learning

ADGCL : Adversarial Graph Augmentation to Improve Graph Contrastive Learning Introduction This repo contains the Pytorch [1] implementation of Adversa

susheel suresh 62 Nov 19, 2022
Event queue (Equeue) dialect is an MLIR Dialect that models concurrent devices in terms of control and structure.

Event Queue Dialect Event queue (Equeue) dialect is an MLIR Dialect that models concurrent devices in terms of control and structure. Motivation The m

Cornell Capra 23 Dec 08, 2022
kapre: Keras Audio Preprocessors

Kapre Keras Audio Preprocessors - compute STFT, ISTFT, Melspectrogram, and others on GPU real-time. Tested on Python 3.6 and 3.7 Why Kapre? vs. Pre-co

Keunwoo Choi 867 Dec 29, 2022
🔮 A refreshing functional take on deep learning, compatible with your favorite libraries

Thinc: A refreshing functional take on deep learning, compatible with your favorite libraries From the makers of spaCy, Prodigy and FastAPI Thinc is a

Explosion 2.6k Dec 30, 2022
Code for GNMR in ICDE 2021

GNMR Code for GNMR in ICDE 2021 Please unzip data files in Datasets/MultiInt-ML10M first. Run labcode_preSamp.py (with graph sampling) for ECommerce-c

7 Oct 27, 2022
Repository for "Improving evidential deep learning via multi-task learning," published in AAAI2022

Improving evidential deep learning via multi task learning It is a repository of AAAI2022 paper, “Improving evidential deep learning via multi-task le

deargen 11 Nov 19, 2022
Code implementation of "Sparsity Probe: Analysis tool for Deep Learning Models"

Sparsity Probe: Analysis tool for Deep Learning Models This repository is a limited implementation of Sparsity Probe: Analysis tool for Deep Learning

3 Jun 09, 2021
Punctuation Restoration using Transformer Models for High-and Low-Resource Languages

Punctuation Restoration using Transformer Models This repository contins official implementation of the paper Punctuation Restoration using Transforme

Tanvirul Alam 142 Jan 01, 2023
Code for paper " AdderNet: Do We Really Need Multiplications in Deep Learning?"

AdderNet: Do We Really Need Multiplications in Deep Learning? This code is a demo of CVPR 2020 paper AdderNet: Do We Really Need Multiplications in De

HUAWEI Noah's Ark Lab 915 Jan 01, 2023
Regulatory Instruments for Fair Personalized Pricing.

Fair pricing Source code for WWW 2022 paper Regulatory Instruments for Fair Personalized Pricing. Installation Requirements Linux with Python = 3.6 p

Renzhe Xu 6 Oct 26, 2022
PyTorch implementation for View-Guided Point Cloud Completion

PyTorch implementation for View-Guided Point Cloud Completion

22 Jan 04, 2023
Text2Art is an AI art generator powered with VQGAN + CLIP and CLIPDrawer models

Text2Art is an AI art generator powered with VQGAN + CLIP and CLIPDrawer models. You can easily generate all kind of art from drawing, painting, sketch, or even a specific artist style just using a t

Muhammad Fathy Rashad 643 Dec 30, 2022
TextureGAN in Pytorch

TextureGAN This code is our PyTorch implementation of TextureGAN [Project] [Arxiv] TextureGAN is a generative adversarial network conditioned on sketc

Patsorn 147 Dec 14, 2022