DE eng

Search in the Catalogues and Directories

Page: 1 2 3 4 5 6
Hits 1 – 20 of 108

1
How much does prosody help word segmentation? A simulation study on infant-directed speech
In: ISSN: 0010-0277 ; EISSN: 1873-7838 ; Cognition ; https://hal.archives-ouvertes.fr/hal-03498888 ; Cognition, Elsevier, 2022, 219, pp.104961. ⟨10.1016/j.cognition.2021.104961⟩ (2022)
BASE
Show details
2
Non-word repetition in children learning Yélî Dnye ...
Cristia, Alejandrina; Casillas, Marisa. - : Carnegie Mellon University Library Publishing Service, 2022
BASE
Show details
3
Supplementary materials: Factors structuring lexical development in toddlers: The effects of parental education, language exposure, and age ...
Cristia, Alejandrina. - : Open Science Framework, 2022
BASE
Show details
4
Is there a bilingual disadvantage for word segmentation? A computational modeling approach
In: ISSN: 0305-0009 ; EISSN: 1469-7602 ; Journal of Child Language ; https://hal.archives-ouvertes.fr/hal-03498905 ; Journal of Child Language, Cambridge University Press (CUP), 2021, pp.1-28. ⟨10.1017/S0305000921000568⟩ (2021)
BASE
Show details
5
SCALa: A blueprint for computational models of language acquisition in social context
In: ISSN: 0010-0277 ; EISSN: 1873-7838 ; Cognition ; https://hal.inria.fr/hal-03373586 ; Cognition, Elsevier, 2021, 213, pp.104779. ⟨10.1016/j.cognition.2021.104779⟩ (2021)
BASE
Show details
6
Vocal development in a large‐scale crosslinguistic corpus
In: ISSN: 1363-755X ; EISSN: 1467-7687 ; Developmental Science ; https://hal.archives-ouvertes.fr/hal-03498978 ; Developmental Science, Wiley, 2021, 24 (5), ⟨10.1111/desc.13090⟩ (2021)
BASE
Show details
7
Toward Cumulative Cognitive Science: A Comparison of Meta-Analysis, Mega-Analysis, and Hybrid Approaches
In: EISSN: 2470-2986 ; Open Mind ; https://hal.archives-ouvertes.fr/hal-03498941 ; Open Mind, MIT Press, 2021, 5, pp.154-173. ⟨10.1162/opmi_a_00048⟩ (2021)
BASE
Show details
8
Socioeconomic status correlates with measures of Language Environment Analysis (LENA) system: a meta-analysis
In: ISSN: 0305-0009 ; EISSN: 1469-7602 ; Journal of Child Language ; https://hal.archives-ouvertes.fr/hal-03498959 ; Journal of Child Language, Cambridge University Press (CUP), In press, pp.1-15. ⟨10.1017/S0305000921000441⟩ (2021)
BASE
Show details
9
The effect of Crianza Positiva e-messaging program on adult-child language interactions
In: Behavioral Public Policy ; https://hal.archives-ouvertes.fr/hal-03498848 ; Behavioral Public Policy, 2021 (2021)
BASE
Show details
10
Describing Vocalizations in Young Children: A Big Data Approach Through Citizen Science Annotation
In: ISSN: 1092-4388 ; EISSN: 1558-9102 ; Journal of Speech, Language, and Hearing Research ; https://hal.archives-ouvertes.fr/hal-03498946 ; Journal of Speech, Language, and Hearing Research, American Speech-Language-Hearing Association, 2021, 64 (7), pp.2401-2416. ⟨10.1044/2021_JSLHR-20-00661⟩ (2021)
BASE
Show details
11
Non-word repetition in bilingual children: the role of language exposure, vocabulary scores and environmental factors ...
Farabolini, Gianmatteo; Cristia, Alejandrina. - : Open Science Framework, 2021
BASE
Show details
12
La ripetizione di non-parole in bambini bilingue, in funzione del loro vocabolario in italiano ...
Farabolini, Gianmatteo; rinaldi, pasquale; Caselli, Maria. - : Open Science Framework, 2021
BASE
Show details
13
First DIHARD Challenge -- System Submissions and Scores ...
Abstract: This dataset contains all submissions to the First DIHARD Speech Diarization Challenge (DIHARD I) as well as the output of the official scoring tool for these submissions. We are releasing it to the research community to support the development of new evaluation metrics for speech activity detection/diarization and system combination techniques. For more details about the evaluation, please consult the evaluation plan: https://zenodo.org/record/1199638 or the evaluation website: https://dihardchallenge.github.io/dihard1/index.html **NOTE** that this release only includes the system RTTMs that teams submitted to the DIHARD I scoring server. It does **NOT** include the DIHARD I evaluation set reference RTTMs and UEMs, which are needed to score the system outputs. These reference RTTM/UEM files are distributed by the Linguistic Data Consortium (LDC) as part of LDC2019S12 and LDC2019S13: LDC2019S12 -- First DIHARD Challenge Evaluation - Nine Sources LDC2019S13 -- First DIHARD Challenge Evaluation - SEEDLingS ...
Keyword: diarization; DIHARD; domain adaptation; machine learning; speaker diarization; speech activity detection; speech technology; system combination
URL: https://dx.doi.org/10.5281/zenodo.4563219
https://zenodo.org/record/4563219
BASE
Hide details
14
First DIHARD Challenge -- System Submissions and Scores ...
BASE
Show details
15
Learning and Processing Language from Wearables: Opportunities and Challenges ...
BASE
Show details
16
Phonological experiment ...
Cristia, Alejandrina. - : Open Science Framework, 2021
BASE
Show details
17
Vocal development in a large-scale crosslinguistic corpus.
BASE
Show details
18
Quantifying Sources of Variability in Infancy Research Using the Infant-Directed-Speech Preference
Bergmann, Christina; Nave, Karli M; Seidl, Amanda. - : SAGE Publications, 2021
BASE
Show details
19
A thorough evaluation of the Language Environment Analysis (LENA) system
In: Behav Res Methods (2021)
BASE
Show details
20
ALICE: An open-source tool for automatic measurement of phoneme, syllable, and word counts from child-centered daylong recordings [<Journal>]
Räsänen, Okko [Verfasser]; Seshadri, Shreyas [Verfasser]; Lavechin, Marvin [Verfasser].
DNB Subject Category Language
Show details

Page: 1 2 3 4 5 6

Catalogues
2
0
6
0
2
0
1
Bibliographies
5
0
0
0
0
0
0
0
3
Linked Open Data catalogues
0
Online resources
0
0
0
0
Open access documents
94
0
0
0
0
© 2013 - 2024 Lin|gu|is|tik | Imprint | Privacy Policy | Datenschutzeinstellungen ändern