Human and Transformer-Based Prosodic Phrasing in Two Speech Genres

Kód výsledku v 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>

Nalezeny alternativní kódy

RIV/49777513:23520/21:43962462

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Human and Transformer-Based Prosodic Phrasing in Two Speech Genres

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Human and Transformer-Based Prosodic Phrasing in Two Speech Genres

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

60203 - Linguistics

Projekt

<a href="/cs/project/GA21-14758S" target="_blank" >GA21-14758S: Prozodická fráze v současné mluvené češtině: význam, rovnováha, stochastické vzorce</a><br>

Návaznosti

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

Rok uplatnění

2021

Kód důvěrnosti údajů

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

Název statě ve sborníku

SPECOM 2021 - LNAI 12997

ISBN

978-3-030-87801-6

ISSN

—

e-ISSN

—

Počet stran výsledku

12

Strana od-do

761-772

Název nakladatele

Springer

Místo vydání

Switzerland

Místo konání akce

online

Datum konání akce

27. 9. 2021

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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