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Saksida, Amanda (9)
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Simple Search
Hits 1 – 10 of 10
1
Interdisciplinary Approaches to the Study of Listening Effort in Young Children with Cochlear Implants
Saksida, Amanda
;
Ghiselli, Sara
;
Bembich, Stefano
...
In: Audiol Res (2021)
BASE
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2
Short report on the effects of SARS-CoV-2 face protective equipment on verbal communication
Muzzi, Enrico
;
Chermaz, Carol
;
Castro, Veronica
...
In: Eur Arch Otorhinolaryngol (2021)
BASE
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3
WordSeg: Standardizing unsupervised word form segmentation from text
Bernard, Mathieu
;
Thiolliere, Roland
;
Saksida, Amanda
. - 2020
BASE
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4
WordSeg: Standardizing unsupervised word form segmentation from text [<Journal>]
Bernard, Mathieu
[Verfasser];
Thiolliere, Roland
[Verfasser];
Saksida, Amanda
[Verfasser].
DNB Subject Category Language
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5
WordSeg: Standardizing unsupervised word form segmentation from text
Bernard, Mathieu
;
Thiollière, Roland
;
Saksida, Amanda
;
Loukatou, Georgia
;
Larsen, Elin
;
Johnson, Mark,
;
Fibla, Laia
;
Dupoux, Emmanuel
;
Daland, Robert
;
Cao, Xuan-Nga
;
Cristia, Alejandrina
In: ISSN: 1554-351X ; EISSN: 1554-3528 ; Behavior Research Methods ; https://hal.archives-ouvertes.fr/hal-02274072 ; Behavior Research Methods, Psychonomic Society, Inc, 2019, ⟨10.3758/s13428-019-01223-3⟩ (2019)
Abstract:
International audience ; A basic task in first language acquisition likely involves discovering the boundaries between words or morphemes in input where these basic units are not overtly segmented. A number of unsupervised learning algorithms have been proposed in the last 20 years for these purposes, some of which have been implemented computationally, but whose results remain difficult to compare across papers. We created a tool that is open source, enables reproducible results, and encourages cumulative science in this domain. WordSeg has a modular architecture: It combines a set of corpora description routines, multiple algorithms varying in complexity and cognitive assumptions (including several that were not publicly available, or insufficiently documented), and a rich evaluation package. In the paper, we illustrate the use of this package by analyzing a corpus of child-directed speech in various ways, which further allows us to make recommendations for experimental design of follow-up work. Supplementary materials allow readers to reproduce every result in this paper, and detailed online instructions further enable them to go beyond what we have done. Moreover, the system can be installed within container software that ensures a stable and reliable environment. Finally, by virtue of its modular architecture and transparency, WordSeg can work as an open-source platform, to which other researchers can add their own segmentation algorithms.
Keyword:
[SCCO.LING]Cognitive science/Linguistics
;
Cumulative science
;
First language acquisition
;
Natural language processing
;
Unsupervised word discovery
URL:
https://doi.org/10.3758/s13428-019-01223-3
https://hal.archives-ouvertes.fr/hal-02274072
BASE
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6
ŠUSS archive of questions and answers about the Slovenian language (1998-2010)
Marušič, Franc Lanko
;
Marvin, Tatjana
;
Potrato, Tina
. - : CLARIN.SI, 2019
BASE
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7
Phonological skills, visual attention span, and visual stress in developmental dyslexia.
Saksida, Amanda
;
Iannuzzi, Stéphanie
;
Bogliotti, Caroline
...
In: ISSN: 0012-1649 ; Developmental Psychology ; https://hal.archives-ouvertes.fr/hal-01400569 ; Developmental Psychology, American Psychological Association, 2016, 52 (10), pp.1503 - 1516. ⟨10.1037/dev0000184⟩ (2016)
BASE
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8
Word learning in the first year of life
Saksida, Amanda
. - : SISSA, 2014
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9
Annual Workshop on Formal Approaches to Slavic Linguistics : the Toronto Meeting 2006
Tomić, Olga Mišeska
;
Werkmann, Valja
;
Kuno, Masakazu
. - Ann Arbor : Michigan Slavic Publ., 2007
BLLDB
UB Frankfurt Linguistik
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10
Last-Conjunct Agreement in Slovenian
Marusic, Franc
;
Nevins, Andrew Ira
;
Saksida, Amanda
. - : Michigan Slavic Publications, 2007
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