Neural machine translation between the writings of Shakespeare and modern English using TensorFlow

Related tags

Deep Learningtensorflowseq2seqneural-machine-translationshakespeare
Overview

Shakespeare translations using TensorFlow

This is an example of using the new Google's TensorFlow library on monolingual translation going from modern English to Shakespeare based on research from Wei Xu.

Prepare

First download the TensorFlow library depending on your platform:

pip install https://storage.googleapis.com/tensorflow/mac/tensorflow-0.5.0-py2-none-any.whl # for mac
pip install https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.5.0-cp27-none-linux_x86_64.whl # for ubuntu
  1. Grabs parallel data.
  2. Gets train, dev split.
  3. Builds vocabulary
  4. Converts parallel data into ids

From the root directory:

python -m tensorshake.get_data
python -m tensorshake.prepare_corpus

Delete /cache to start anew.

Train

Use the example BASH script to train the model. This saves the check points in the --train_dir directory. If you run it again, the training process continues from the check point. To restart with fresh parameters, simply delete/rename the check points.

./run.sh

Results

Benchmarks from original paper. (Shakespeare -> Modern English)

Input Output
i will bite thee by the ear for that jest . i ’ ll bite you by the ear for that joke .
what further woe conspires against mine age ? what ’ s true despair conspires against my old age ?
how doth my lady ? how is my lady ?
hast thou slain tybalt ? have you killed tybalt ?
an i might live to see thee married once , i have my wish . if i could live to see you married, i ’ ve my wish .
benvolio , who began this bloody fray ? benvolio , who started this bloody fight itself ?
what is your will ? what do you want ?
call her forth to me . bring her out to me .

Cherrypicked examples from this repo (Modern English -> Shakespeare)

Input Output
but you’re not listening to me. but you do not hear me .
Gregory, on my word, we will not be humiliated, like carrying coal. regory , we 'll not carry coals .
but he got the promotion. he is the friend .
i can hit quickly, if i'm motivated. i strike , i am moved .
Did you just give us the finger, sir? have you leave the thumb , sir ?
You don’t know what you’re doing! you do not what you know you .
have you killed Tybalt? hast thou slain tybalt ?
Why, Romeo, are you crazy? why , art thou mad , mad ?

Pre-Trained Models

Here is a link for an example model: https://s3-us-west-2.amazonaws.com/foxtype-nlp/tensorshake/model_cache.zip

Possible improvements

  • word embeddings
  • beam search
  • language model reranking
Owner
Motoki Wu
AI @cresta. Formerly @chegg, @writelab, @foxtype, @lingonautics
Motoki Wu
GitHub Repository
🕹️ Official Implementation of Conditional Motion In-betweening (CMIB) 🏃

Conditional Motion In-Betweening (CMIB) Official implementation of paper: Conditional Motion In-betweeening. Paper(arXiv) | Project Page | YouTube in-

Jihoon Kim 81 Dec 22, 2022
Character Controllers using Motion VAEs

Character Controllers using Motion VAEs This repo is the codebase for the SIGGRAPH 2020 paper with the title above. Please find the paper and demo at

Electronic Arts 165 Jan 03, 2023
Dense Prediction Transformers

Vision Transformers for Dense Prediction This repository contains code and models for our paper: Vision Transformers for Dense Prediction René Ranftl,

Intel ISL (Intel Intelligent Systems Lab) 1.3k Dec 28, 2022
Contains supplementary materials for reproduce results in HMC divergence time estimation manuscript

Scalable Bayesian divergence time estimation with ratio transformations This repository contains the instructions and files to reproduce the analyses

Suchard Research Group 1 Sep 21, 2022
10th place solution for Google Smartphone Decimeter Challenge at kaggle.

Under refactoring 10th place solution for Google Smartphone Decimeter Challenge at kaggle. Google Smartphone Decimeter Challenge Global Navigation Sat

12 Oct 25, 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 114 Jan 06, 2023
cl;asification problem using classification models in supervised learning

wine-quality-predition---classification cl;asification problem using classification models in supervised learning Wine Quality Prediction Analysis - C

Vineeth Reddy Gangula 1 Jan 18, 2022
CLUES: Few-Shot Learning Evaluation in Natural Language Understanding

CLUES: Few-Shot Learning Evaluation in Natural Language Understanding This repo contains the data and source code for baseline models in the NeurIPS 2

Microsoft 29 Dec 29, 2022
How to Leverage Multimodal EHR Data for Better Medical Predictions?

How to Leverage Multimodal EHR Data for Better Medical Predictions? This repository contains the code of the paper: How to Leverage Multimodal EHR Dat

13 Dec 13, 2022
(Arxiv 2021) NeRF--: Neural Radiance Fields Without Known Camera Parameters

NeRF--: Neural Radiance Fields Without Known Camera Parameters Project Page | Arxiv | Colab Notebook | Data Zirui Wang¹, Shangzhe Wu², Weidi Xie², Min

Active Vision Laboratory 411 Dec 26, 2022
Open-source python package for the extraction of Radiomics features from 2D and 3D images and binary masks.

pyradiomics v3.0.1 Build Status Linux macOS Windows Radiomics feature extraction in Python This is an open-source python package for the extraction of

Artificial Intelligence in Medicine (AIM) Program 842 Dec 28, 2022
Probabilistic Programming and Statistical Inference in PyTorch

PtStat Probabilistic Programming and Statistical Inference in PyTorch. Introduction This project is being developed during my time at Cogent Labs. The

Stefano Peluchetti 109 Nov 26, 2022
PyTorch implementation of the paper Dynamic Token Normalization Improves Vision Transfromers.

Dynamic Token Normalization Improves Vision Transformers This is the PyTorch implementation of the paper Dynamic Token Normalization Improves Vision T

Wenqi Shao 20 Oct 09, 2022
Implementation of DropLoss for Long-Tail Instance Segmentation in Pytorch

[AAAI 2021]DropLoss for Long-Tail Instance Segmentation [AAAI 2021] DropLoss for Long-Tail Instance Segmentation Ting-I Hsieh*, Esther Robb*, Hwann-Tz

Tim 37 Dec 02, 2022
Learning cell communication from spatial graphs of cells

ncem Features Repository for the manuscript Fischer, D. S., Schaar, A. C. and Theis, F. Learning cell communication from spatial graphs of cells. 2021

Theis Lab 77 Dec 30, 2022
Adjust Decision Boundary for Class Imbalanced Learning

Adjusting Decision Boundary for Class Imbalanced Learning This repository is the official PyTorch implementation of WVN-RS, introduced in Adjusting De

Peyton Byungju Kim 16 Jan 04, 2023
curl-impersonate: A special compilation of curl that makes it impersonate Chrome & Firefox

curl-impersonate A special compilation of curl that makes it impersonate real browsers. It can impersonate the four major browsers: Chrome, Edge, Safa

lwthiker 1.9k Jan 03, 2023
[ICCV 2021 Oral] Deep Evidential Action Recognition

DEAR (Deep Evidential Action Recognition) Project | Paper & Supp Wentao Bao, Qi Yu, Yu Kong International Conference on Computer Vision (ICCV Oral), 2

Wentao Bao 80 Jan 03, 2023
Official implementation of NeuralFusion: Online Depth Map Fusion in Latent Space

NeuralFusion This is the official implementation of NeuralFusion: Online Depth Map Fusion in Latent Space. We provide code to train the proposed pipel

53 Jan 01, 2023
An unofficial PyTorch implementation of a federated learning algorithm, FedAvg.

Federated Averaging (FedAvg) in PyTorch An unofficial implementation of FederatedAveraging (or FedAvg) algorithm proposed in the paper Communication-E

Seok-Ju Hahn 123 Jan 06, 2023