Saltar al contenido principal

ETHNOS_APP

Inicio • Búsqueda • Revistas • Lista 0

Marcela Peña

Datos Biográficos

ID4008167
NOMBREMarcela Peña
NOMBRESMarcela
APELLIDOPeña
FIRMAPENA M
AFILIACIONESPontificia Universidad Católica de Chile
ORCID0000-0002-6027-9280
VERIFICADOSí
TOTAL DE OBRAS6
TOTAL DE CITAS20
TOTAL COMO AUTOR6
TOTAL COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2002
AÑO MÁS RECIENTE DE PUBLICACIÓN2025
ÍNDICE H1
  • The Inevitable and Unpredictable Role of Large Language Models in Education

    Open Access•Ernesto Guerra, Marcela Peña et al.•ARTICLE•Cognitive Science•2025

    This commentary critically complements a recent proposal that cognitive science can leverage Large Language Models (LLMs) to counter declining literacy. While recognizing the educational potential of LLMs, we highlight a significant trade‐off: their inherent design reduces users’ direct engagement with written text, undermining deeper literacy skills, especially in young learners. Acknowledging this tension is essential for developing pedagogical…

  • Do newborns detect prosodic violations in an unfamiliar language at birth

    Open Access•Caterina Marino, Jessica Gemignani et al.•ARTICLE•Brain and Language•2025•Referencias: 40

    Experience with language starts prenatally, as the intrauterine environment allows speech prosody to get through. Martinez-Alvarez and colleagues (2023) demonstrated that newborns detect utterance-level prosodic violations in the language they heard prenatally, French. It remains unknown, however, whether this discrimination ability requires prenatal experience with a given language or whether newborns have an early sensitivity to the shapes of p…

  • Bias and noise in proportion estimation

    Open Access•Camilo Gouet, Wei Jin et al.•ARTICLE•Cognition•2021

  • What Infants Know and What They have to Learn about Language

    Open Access•Jacques Mehler, Marina Nespor et al.•ARTICLE•European Review•2008•Referencias: 4

    The study of language acquisition during the first year of life is reviewed. We identified three areas that have contributed to our understanding of how the infant copes with linguistic signals to attain the most basic properties of its native language. Distributional properties present in the incoming utterances may allow infants to extract word candidates in the speech stream as shown in the impoverished conditions of artificial grammar studies…

  • Linguistic Constraints on Statistical Computations

    Open Access•Luca L Bonatti, Marcela Peña et al.•ARTICLE•Psychological Science•2005•Citada por: 20•Referencias: 2

    Speech is produced mainly in continuous streams containing several words. Listeners can use the transitional probability (TP) between adjacent and non-adjacent syllables to segment "words" from a continuous stream of artificial speech, much as they use TPs to organize a variety of perceptual continua. It is thus possible that a general-purpose statistical device exploits any speech unit to achieve segmentation of speech streams. Alternatively, la…

  • Signal-Driven Computations in Speech Processing

    Open Access•Marcela Peña, Luca L Bonatti et al.•ARTICLE•Science•2002

    Learning a language requires both statistical computations to identify words in speech and algebraic-like computations to discover higher level (grammatical) structure. Here we show that these computations can be influenced by subtle cues in the speech signal. After a short familiarization to a continuous speech stream, adult listeners are able to segment it using powerful statistics, but they fail to extract the structural regularities included …

  • Linguistic Constraints on Statistical Computations

    Open Access•Luca L Bonatti, Marcela Peña et al.•ARTICLE•Psychological Science•2005•Citada por: 20•Referencias: 2

    Speech is produced mainly in continuous streams containing several words. Listeners can use the transitional probability (TP) between adjacent and non-adjacent syllables to segment "words" from a continuous stream of artificial speech, much as they use TPs to organize a variety of perceptual continua. It is thus possible that a general-purpose statistical device exploits any speech unit to achieve segmentation of speech streams. Alternatively, la…

  • Signal-Driven Computations in Speech Processing

    Open Access•Marcela Peña, Luca L Bonatti et al.•ARTICLE•Science•2002

    Learning a language requires both statistical computations to identify words in speech and algebraic-like computations to discover higher level (grammatical) structure. Here we show that these computations can be influenced by subtle cues in the speech signal. After a short familiarization to a continuous speech stream, adult listeners are able to segment it using powerful statistics, but they fail to extract the structural regularities included …

  • Linguistic Constraints on Statistical Computations

    Open Access•Luca L Bonatti, Marcela Peña et al.•ARTICLE•Psychological Science•2005•Citada por: 20•Referencias: 2

    Speech is produced mainly in continuous streams containing several words. Listeners can use the transitional probability (TP) between adjacent and non-adjacent syllables to segment "words" from a continuous stream of artificial speech, much as they use TPs to organize a variety of perceptual continua. It is thus possible that a general-purpose statistical device exploits any speech unit to achieve segmentation of speech streams. Alternatively, la…

  • What Infants Know and What They have to Learn about Language

    Open Access•Jacques Mehler, Marina Nespor et al.•ARTICLE•European Review•2008•Referencias: 4

    The study of language acquisition during the first year of life is reviewed. We identified three areas that have contributed to our understanding of how the infant copes with linguistic signals to attain the most basic properties of its native language. Distributional properties present in the incoming utterances may allow infants to extract word candidates in the speech stream as shown in the impoverished conditions of artificial grammar studies…

  • Bias and noise in proportion estimation

    Open Access•Camilo Gouet, Wei Jin et al.•ARTICLE•Cognition•2021

  • The Inevitable and Unpredictable Role of Large Language Models in Education

    Open Access•Ernesto Guerra, Marcela Peña et al.•ARTICLE•Cognitive Science•2025

    This commentary critically complements a recent proposal that cognitive science can leverage Large Language Models (LLMs) to counter declining literacy. While recognizing the educational potential of LLMs, we highlight a significant trade‐off: their inherent design reduces users’ direct engagement with written text, undermining deeper literacy skills, especially in young learners. Acknowledging this tension is essential for developing pedagogical…

  • Do newborns detect prosodic violations in an unfamiliar language at birth

    Open Access•Caterina Marino, Jessica Gemignani et al.•ARTICLE•Brain and Language•2025•Referencias: 40

    Experience with language starts prenatally, as the intrauterine environment allows speech prosody to get through. Martinez-Alvarez and colleagues (2023) demonstrated that newborns detect utterance-level prosodic violations in the language they heard prenatally, French. It remains unknown, however, whether this discrimination ability requires prenatal experience with a given language or whether newborns have an early sensitivity to the shapes of p…

Computer Science (5 obras) · Cognitive psychology (4 obras) · Language Development and Disorders (4 obras) · Psychology (4 obras) · Artificial Intelligence (3 obras) · Algorithm (2 obras) · Artificial Intelligence (2 obras) · Child and Animal Learning Development (2 obras) · Cognition (2 obras) · Computation (2 obras)

Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae