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.

Universality Versus Language-Specificity in Listening to Running Speech

Domain:

natural language processing

Record type:

paper
Creator:
AnnKatJam
Publisher:
SAG
Host:
Recognizing spoken language involves automatic activation of multiple candidate words. The process of selection between candidates is made more efficient by inhibition of embedded words (like egg in beg) that leave a portion of the input stranded (here, b). Results from European languages suggest that this inhibition occurs when consonants are stranded but not when syllables are stranded. The reason why leftover syllables do not lead to inhibition could be that in principle they might themselves be words; in European languages, a syllable can be a word. In Sesotho (a Bantu language), however, a single syllable cannot be a word. We report that in Sesotho, word recognition is inhibited by stranded consonants, but stranded monosyllables produce no more difficulty than stranded bisyllables (which could be Sesotho words). This finding suggests that the viability constraint which inhibits spurious embedded word candidates is not sensitive to language-specific word structure, but is universal.

Visit

doi.org

Languages

Sotho, Southern

Licenses

https://journals.sagepub.com/page/policies/text-and-data-mining-license

Similar

Listening to Affected Communities to Define Extreme Speech: Dataset and ExperimentsFindings: Listening to Affected Communities to Define Extreme Speech: Dataset and ExperimentsA descriptive cost comparison of Listening and Spoken Language – South Africa versus traditional Speech-Language Therapy as therapeutic approaches for deaf and hard-of-hearing children in South AfricaOn the Universality of Deep Contextual Language ModelsFante: the orthography versus speechDoro97/African-language-Speech-Recognition---Speech-to-Text-

Listening to Affected Communities to Define Extreme Speech: Dataset and Experiments

Building on current work on multilingual hate speech (e.g., Ousidhoum et al. (2019)) and hate speech

Findings: Listening to Affected Communities to Define Extreme Speech: Dataset and Experiments

Building on current work on multilingual hate speech (e.g., Ousidhoum et al. (2019)) and hate speech

A descriptive cost comparison of Listening and Spoken Language – South Africa versus traditional Speech-Language Therapy as therapeutic approaches for deaf and hard-of-hearing children in South Africa

Background: Hearing impairment affects speech-language and academic development, creating substantia

On the Universality of Deep Contextual Language Models

Deep Contextual Language Models (LMs) like ELMO, BERT, and their successors dominate the landscape o

Fante: the orthography versus speech

This paper aims to show the relationship between the writing system of Fante and its spoken form, an

Doro97/African-language-Speech-Recognition---Speech-to-Text-

# African-language-Speech-Recognition---Speech-to-Text- The World Food Program wants to deploy an i