AfriKI: Machine-in-the-Loop Afrikaans Poetry Generation

03/30/2021
by   Imke van Heerden, et al.
9

This paper proposes a generative language model called AfriKI. Our approach is based on an LSTM architecture trained on a small corpus of contemporary fiction. With the aim of promoting human creativity, we use the model as an authoring tool to explore machine-in-the-loop Afrikaans poetry generation. To our knowledge, this is the first study to attempt creative text generation in Afrikaans.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
05/15/2022

Classifiers are Better Experts for Controllable Text Generation

This paper proposes a simple method for controllable text generation bas...
research
01/01/2021

A Graph Total Variation Regularized Softmax for Text Generation

The softmax operator is one of the most important functions in machine l...
research
03/27/2023

Debiasing Scores and Prompts of 2D Diffusion for Robust Text-to-3D Generation

The view inconsistency problem in score-distilling text-to-3D generation...
research
04/15/2019

Pun Generation with Surprise

We tackle the problem of generating a pun sentence given a pair of homop...
research
05/20/2020

Creative Artificial Intelligence – Algorithms vs. humans in an incentivized writing competition

The release of openly available, robust text generation algorithms has s...
research
10/16/2020

Melody Classifier with Stacked-LSTM

Attempts to use generative models for music generation have been common ...
research
02/28/2021

Towards Conversational Humor Analysis and Design

Well-defined jokes can be divided neatly into a setup and a punchline. W...

Please sign up or login with your details

Forgot password? Click here to reset