DeepAI AI Chat
Log In Sign Up

Linguistic unit discovery from multi-modal inputs in unwritten languages: Summary of the "Speaking Rosetta" JSALT 2017 Workshop

02/14/2018
by   Odette Scharenborg, et al.
Radboud Universiteit
0

We summarize the accomplishments of a multi-disciplinary workshop exploring the computational and scientific issues surrounding the discovery of linguistic units (subwords and words) in a language without orthography. We study the replacement of orthographic transcriptions by images and/or translated text in a well-resourced language to help unsupervised discovery from raw speech.

READ FULL TEXT

page 1

page 2

page 3

page 4

07/11/2017

Proceedings of the 2017 AdKDD & TargetAd Workshop

Proceedings of the 2017 AdKDD and TargetAd Workshop held in conjunction ...
04/27/2020

A Summary of the First Workshop on Language Technology for Language Documentation and Revitalization

Despite recent advances in natural language processing and other languag...
10/12/2020

Towards Induction of Structured Phoneme Inventories

This extended abstract surveying the work on phonological typology was p...
07/29/2020

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

(Short version of Abstract) This thesis describes an investigation on un...
07/01/2016

Throwing fuel on the embers: Probability or Dichotomy, Cognitive or Linguistic?

Prof. Robert Berwick's abstract for his forthcoming invited talk at the ...
11/04/2020

A Hierarchical Subspace Model for Language-Attuned Acoustic Unit Discovery

In this work, we propose a hierarchical subspace model for acoustic unit...
01/18/2022

Unsupervised Multimodal Word Discovery based on Double Articulation Analysis with Co-occurrence cues

Human infants acquire their verbal lexicon from minimal prior knowledge ...