Human and Transformer-Based Prosodic Phrasing in Two Speech Genres

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11210%2F21%3A10432286" target="_blank" >RIV/00216208:11210/21:10432286 - isvavai.cz</a>

Alternative codes found

RIV/49777513:23520/21:43962462

Result on the web

<a href="https://doi.org/10.1007/978-3-030-87802-3" target="_blank" >https://doi.org/10.1007/978-3-030-87802-3</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-030-87802-3_68" target="_blank" >10.1007/978-3-030-87802-3_68</a>

Result language

angličtina

Original language name

Human and Transformer-Based Prosodic Phrasing in Two Speech Genres

Original language description

The chief objective of the study was to observe phrasing behaviour of transformer-based neural networks from the linguistic point of view. The transformer-based architecture mapped prosodic phrasing in isolated sentences read out on request, but was commanded to predict prosodic phrases in continuous texts of journalistic style taken from radio news bulletins. The transfer was quite successful in that most of the prosodic phrase boundaries in the actual newsreading (established by expert auditory analysis) were correctly suggested by the machine. This result is not unexpected as both genres belong to clearly enunciated informative speaking style. The outcome partially rehabilitates the so-called laboratory speech, which is sometimes branded as ecologically invalid. The follow-up analyses revealed that the differences between human phrasing in news bulletins and the partition suggested by the machine can be classified into meaningful linguistic categories based on the syntactic structure or semantic contents, and as such, they can inform further research design.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

60203 - Linguistics

Project

<a href="/en/project/GA21-14758S" target="_blank" >GA21-14758S: Prosodic Phrase in Current Spoken Czech: Meaning, Balance, Stochastic Patterns</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2021

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

SPECOM 2021 - LNAI 12997

ISBN

978-3-030-87801-6

ISSN

—

e-ISSN

—

Number of pages

12

Pages from-to

761-772

Publisher name

Springer

Place of publication

Switzerland

Event location

online

Event date

Sep 27, 2021

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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