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
MoCoPnet - Deformable 3D Convolution for Video Super-Resolution

MoCoPnet: Exploring Local Motion and Contrast Priors for Infrared Small Target Super-Resolution Pytorch implementation of local motion and contrast pr

Xinyi Ying 28 Dec 15, 2022
code for our ECCV 2020 paper "A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation"

Code for our ECCV (2020) paper A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation. Prerequisites: python == 3.6.8 pytorch ==1.1.0

32 Nov 27, 2022
meProp: Sparsified Back Propagation for Accelerated Deep Learning (ICML 2017)

meProp The codes were used for the paper meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting (ICML 2017) [pdf]

LancoPKU 107 Nov 18, 2022
A flexible submap-based framework towards spatio-temporally consistent volumetric mapping and scene understanding.

Panoptic Mapping This package contains panoptic_mapping, a general framework for semantic volumetric mapping. We provide, among other, a submap-based

ETHZ ASL 194 Dec 20, 2022
Modeling Temporal Concept Receptive Field Dynamically for Untrimmed Video Analysis

Modeling Temporal Concept Receptive Field Dynamically for Untrimmed Video Analysis This is a PyTorch implementation of the model described in our pape

qzhb 6 Jul 08, 2021
Predict halo masses from simulations via graph neural networks

HaloGraphNet Predict halo masses from simulations via Graph Neural Networks. Given a dark matter halo and its galaxies, creates a graph with informati

Pablo Villanueva Domingo 20 Nov 15, 2022
Discord bot-CTFD-Thread-Parser - Discord bot CTFD-Thread-Parser

Discord bot CTFD-Thread-Parser Description: This tools is used to create automat

15 Mar 22, 2022
An end-to-end project on customer segmentation

End-to-end Customer Segmentation Project Note: This project is in progress. Tools Used in This Project Prefect: Orchestrate workflows hydra: Manage co

Ocelot Consulting 8 Oct 06, 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
Compositional and Parameter-Efficient Representations for Large Knowledge Graphs

NodePiece - Compositional and Parameter-Efficient Representations for Large Knowledge Graphs NodePiece is a "tokenizer" for reducing entity vocabulary

Michael Galkin 107 Jan 04, 2023
Code for training and evaluation of the model from "Language Generation with Recurrent Generative Adversarial Networks without Pre-training"

Language Generation with Recurrent Generative Adversarial Networks without Pre-training Code for training and evaluation of the model from "Language G

Amir Bar 253 Sep 14, 2022
ML-Decoder: Scalable and Versatile Classification Head

ML-Decoder: Scalable and Versatile Classification Head Paper Official PyTorch Implementation Tal Ridnik, Gilad Sharir, Avi Ben-Cohen, Emanuel Ben-Baru

189 Jan 04, 2023
PipeTransformer: Automated Elastic Pipelining for Distributed Training of Large-scale Models

PipeTransformer: Automated Elastic Pipelining for Distributed Training of Large-scale Models This repository is the official implementation of the fol

DistributedML 41 Dec 06, 2022
Implementation of Perceiver, General Perception with Iterative Attention, in Pytorch

Perceiver - Pytorch Implementation of Perceiver, General Perception with Iterative Attention, in Pytorch Install $ pip install perceiver-pytorch Usage

Phil Wang 876 Dec 29, 2022
Pytorch Implementation of Google's Parallel Tacotron 2: A Non-Autoregressive Neural TTS Model with Differentiable Duration Modeling

Parallel Tacotron2 Pytorch Implementation of Google's Parallel Tacotron 2: A Non-Autoregressive Neural TTS Model with Differentiable Duration Modeling

Keon Lee 170 Dec 27, 2022
TensorFlow implementation of "Attention is all you need (Transformer)"

[TensorFlow 2] Attention is all you need (Transformer) TensorFlow implementation of "Attention is all you need (Transformer)" Dataset The MNIST datase

YeongHyeon Park 4 Jan 05, 2022
PyTorch implementation of CVPR 2020 paper (Reference-Based Sketch Image Colorization using Augmented-Self Reference and Dense Semantic Correspondence) and pre-trained model on ImageNet dataset

Reference-Based-Sketch-Image-Colorization-ImageNet This is a PyTorch implementation of CVPR 2020 paper (Reference-Based Sketch Image Colorization usin

Yuzhi ZHAO 11 Jul 28, 2022
Bringing Characters to Life with Computer Brains in Unity

AI4Animation: Deep Learning for Character Control This project explores the opportunities of deep learning for character animation and control as part

Sebastian Starke 5.5k Jan 04, 2023
Repository for Traffic Accident Benchmark for Causality Recognition (ECCV 2020)

Causality In Traffic Accident (Under Construction) Repository for Traffic Accident Benchmark for Causality Recognition (ECCV 2020) Overview Data Prepa

Tackgeun 21 Nov 20, 2022
ISBI 2022: Cross-level Contrastive Learning and Consistency Constraint for Semi-supervised Medical Image.

Cross-level Contrastive Learning and Consistency Constraint for Semi-supervised Medical Image Introduction This repository contains the PyTorch implem

25 Nov 09, 2022