Evidence map›Paper›PMID 40775404›Full record

ArticleBehavior research methods2025

Aligning syntactic structure to the dynamics of verbal communication: A pipeline for annotating syntactic phrases onto speech acoustics.

Cosimo Iaia, Alessandro Tavano

Abstract read
In one paragraph

Article in Behavior research methods, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

2 authors.

Cosimo IaiaDepartment of Psychology, Johann Wolfgang Goethe-Universität Frankfurt am Main, Theodor-W.-Adorno-Platz 6, Frankfurt am Main, 60623, Germany. iaia@psych.uni-frankfurt.de.
Alessandro TavanoDepartment of Psychology, Johann Wolfgang Goethe-Universität Frankfurt am Main, Theodor-W.-Adorno-Platz 6, Frankfurt am Main, 60623, Germany. a.tavano@psych.uni-frankfurt.de.

Funding

Deutsche Forschungsgemeinschaft 459426179, 510229904
6 · The paper itself

Abstract

To investigate how the human brain encodes the complex dynamics of natural languages, any viable and reproducible analysis pipeline must rely on either manual annotations or natural language processing (NLP) tools, which extract relevant physical (e.g., acoustic, gestural), and structure-building information from speech and language signals. However, annotating syntactic structure for a given natural language is arguably a harder task than annotating the onset and offset of speech units such as phonemes and syllables, as the latter can be identified by relying on the physically overt and temporally measurable properties of the signal, while syntactic units are generally covert and their chunking is model-driven. We describe and validate a pipeline that takes into account both physical and theoretical aspects of speech and language signals, and operates a theory-driven and explicit alignment between overt speech units and covert syntactic units.

Indexed as

Natural Language ProcessingSpeechSpeech AcousticsHumansLanguageAlignmentAnnotationLanguageNeural trackingSyntax

Identifiers

PMID40775404
PMCPMC12331764

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.