Logo Lanfrica
  • Home
  • Atlas
  • Insights
  • Docs
  • Sign in

© 2026 Lanfrica. All rights reserved. All copyrights of the resources shown on the Lanfrica website belong to the original copyright holders, unless explicitly stated otherwise.

AfriWOZ: Corpus for Exploiting Cross-Lingual Transfer for Dialogue Generation in Low-Resource, African Languages

Record type:

dataset
Creator:
TosMofAreBuk
Publisher:
IEEE
Host:

Visit

doi.org

Tasks

natural language generation

Licenses

https://doi.org/10.15223/policy-029https://doi.org/10.15223/policy-037

Similar

AfriWOZ: Corpus for Exploiting Cross-Lingual Transferability for Generation of Dialogues in Low-Resource, African LanguagesÌtàkúròso: Exploiting Cross-Lingual Transferability for Natural Language Generation of Dialogues in Low-Resource, African LanguagesExploiting Cross-Lingual Knowledge in Unsupervised Acoustic Modeling for Low-Resource LanguagesIntermediate NLI Training for Cross-Lingual Transfer in Low-Resource African LanguagesScaling Zero-Shot Cross-Lingual Transfer for Synthetic Error Data Generation in Low-Resource LanguagesExploiting Adapters for Cross-lingual Low-resource Speech Recognition

AfriWOZ: Corpus for Exploiting Cross-Lingual Transferability for Generation of Dialogues in Low-Resource, African Languages

Dialogue generation is an important NLP task fraught with many challenges. The challenges become mor

Ìtàkúròso: Exploiting Cross-Lingual Transferability for Natural Language Generation of Dialogues in Low-Resource, African Languages

In this study, we investigate the possibility of cross-lingual transfer from a state-of-the-art (SotA) deep monolingual model DialoGPT to 6 African languages and compare with 2 other baselines (BlenderBot 90M, another SotA and a simple seq2seq). The languages are S

Exploiting Cross-Lingual Knowledge in Unsupervised Acoustic Modeling for Low-Resource Languages

(Short version of Abstract) This thesis describes an investigation on unsupervised acoustic modeling

Intermediate NLI Training for Cross-Lingual Transfer in Low-Resource African Languages

Intermediate-task training---fine-tuning a pretrained model on an intermediate task before fine-tuni

Scaling Zero-Shot Cross-Lingual Transfer for Synthetic Error Data Generation in Low-Resource Languages

Grammatical Error Detection (GED) methods rely heavily on human annotated error corpora. However, th

Exploiting Adapters for Cross-lingual Low-resource Speech Recognition

Cross-lingual speech adaptation aims to solve the problem of leveraging multiple rich-resource langu