scholarly journals Psycholinguistic norms for more than 300 lexical signs in German Sign Language (DGS)

2021 ◽  
Author(s):  
Patrick C. Trettenbrein ◽  
Nina-Kristin Pendzich ◽  
Jens-Michael Cramer ◽  
Markus Steinbach ◽  
Emiliano Zaccarella
Keyword(s):  
Sign Language ◽  
Language Processing ◽  
Motion Tracking ◽  
Age Of Acquisition ◽  
Open Science ◽  
Place Of Articulation ◽  
Psycholinguistic Norms ◽  
Science Framework ◽  
Machine Readable ◽  
German Sign Language

AbstractSign language offers a unique perspective on the human faculty of language by illustrating that linguistic abilities are not bound to speech and writing. In studies of spoken and written language processing, lexical variables such as, for example, age of acquisition have been found to play an important role, but such information is not as yet available for German Sign Language (Deutsche Gebärdensprache, DGS). Here, we present a set of norms for frequency, age of acquisition, and iconicity for more than 300 lexical DGS signs, derived from subjective ratings by 32 deaf signers. We also provide additional norms for iconicity and transparency for the same set of signs derived from ratings by 30 hearing non-signers. In addition to empirical norming data, the dataset includes machine-readable information about a sign’s correspondence in German and English, as well as annotations of lexico-semantic and phonological properties: one-handed vs. two-handed, place of articulation, most likely lexical class, animacy, verb type, (potential) homonymy, and potential dialectal variation. Finally, we include information about sign onset and offset for all stimulus clips from automated motion-tracking data. All norms, stimulus clips, data, as well as code used for analysis are made available through the Open Science Framework in the hope that they may prove to be useful to other researchers: 10.17605/OSF.IO/MZ8J4

scholarly journals Psycholinguistic norms for more than 300 lexical signs in German Sign Language (DGS)

2020 ◽  
Author(s):  
Patrick C. Trettenbrein ◽  
Nina-Kristin Pendzich ◽  
Jens-Michael Cramer ◽  
Markus Steinbach ◽  
Emiliano Zaccarella
Keyword(s):  
Sign Language ◽  
Language Processing ◽  
Motion Tracking ◽  
Age Of Acquisition ◽  
Open Science ◽  
Place Of Articulation ◽  
Psycholinguistic Norms ◽  
Science Framework ◽  
Machine Readable ◽  
German Sign Language

Sign language offers a unique perspective on the human faculty of language by illustrating that linguistic abilities are not bound to speech and writing. In studies of spoken and written language processing, lexical variables such as, for example, age of acquisition have been found to play an important role, but such information is not as yet available for German Sign Language (Deutsche Gebärdensprache, DGS). Here, we present a set of norms for frequency, age of acquisition, and iconicity for more than 300 lexical DGS signs, derived from subjective ratings by 32 deaf signers. We also provide additional norms for iconicity and transparency for the same set of signs derived from ratings by 30 hearing non-signers. In addition to empirical norming data, the dataset includes machine-readable information about a sign’s correspondence in German and English, as well as annotations of lexico-semantic and phonological properties: one-handed vs. two-handed, place of articulation, most likely lexical class, animacy, verb type, (potential) homonymy, and potential dialectal variation. Finally, we include information about sign onset and offset for all stimulus clips from automated motion-tracking data. All norms, stimulus clips, data, as well as code used for analysis are made available through the Open Science Framework in the hope that they may prove to be useful to other researchers: https://osf.io/mz8j4/

Body–object interaction ratings for 750 Spanish words

2018 ◽  
Vol 39 (6) ◽  
pp. 1239-1252 ◽  
Author(s):  
MARÍA ÁNGELES ALONSO ◽  
EMILIANO DÍEZ ◽  
ANTONIO M. DÍEZ-ÁLAMO ◽  
ANGEL FERNANDEZ
Keyword(s):  
Young Adult ◽  
Language Processing ◽  
Semantic Processing ◽  
Age Of Acquisition ◽  
Open Science ◽  
The Body ◽  
Object Interaction ◽  
Adult Participants ◽  
Science Framework ◽  
Consistent Tendency

ABSTRACTAn individual’s sense of the extent to which her or his body physically interacts with objects in the environment (body–object interaction; BOI) has been empirically shown to modulate lexical and semantic processing of object names. To allow for further exploration of the nature of those effects, BOI ratings for 750 Spanish nouns were obtained from 178 young adult participants. Statistical analyses showed moderate correlations between BOI indicators and some psycholinguistic indexes, such as word imageability and age of acquisition. In addition, an exploration of lexical associative relationships revealed that high-BOI words have a consistent tendency to be associated with words naming parts of the body. The ratings could be useful to researchers who are interested in manipulating or controlling for the effects of BOI in their language-processing studies. The complete norms are available for free downloading at Open Science Framework (https://osf.io/kd5vf/).

scholarly journals ERP correlates of German Sign Language processing in deaf native signers

2014 ◽  
Vol 15 (1) ◽  
Author(s):  
Barbara Hänel-Faulhaber ◽  
Nils Skotara ◽  
Monique Kügow ◽  
Uta Salden ◽  
Davide Bottari ◽  
...  
Keyword(s):  
Sign Language ◽  
Language Processing ◽  
Native Signers ◽  
German Sign Language

scholarly journals Phonological priming in German Sign Language: An eye tracking study using the Visual World Paradigm

2019 ◽  
Author(s):  
Anne Wienholz ◽  
Derya Nuhbalaoglu ◽  
Markus Steinbach ◽  
Annika Herrmann ◽  
Nivedita Mani
Keyword(s):  
Eye Tracking ◽  
Sign Language ◽  
Language Processing ◽  
Priming Effect ◽  
Phonological Priming ◽  
Target Sign ◽  
Sign Recognition ◽  
Sentence Level ◽  
German Sign Language ◽  
Prime Target

Various studies provide evidence for a phonological priming effect in the recognition of single signs based on phonological parameters, i.e., handshape, location and movement. In addition, some of these studies show that phonological parameters influence this effect differently. The current eye tracking study on German Sign Language examined the presence of a phonological priming effect at the sentence level depending on the phonological relation of prime-target sign pairs. We recorded participants’ eye movements while presenting a video of sentences containing either related or unrelated prime-target sign pairs, and a picture of the target and the distractor. The data provided evidence for a phonological priming effect for sign pairs sharing handshape and movement while differing in location. Moreover, a difference between parameters in their contribution to sign recognition was suggested such that recognition was facilitated for signs sharing handshape, but was inhibited for signs sharing location. Showing that sub-lexical features influence sign language processing.

scholarly journals Italian age of acquisition norms for a large set of words (ItAoA)

2018 ◽  
Author(s):  
Maria Montefinese ◽  
David Vinson ◽  
Gabriella Vigliocco ◽  
Ettore Ambrosini
Keyword(s):  
Healthy Adult ◽  
Age Of Acquisition ◽  
Open Science ◽  
Future Research ◽  
Large Set ◽  
Internal Reliability ◽  
Affective Norms ◽  
Adult Participants ◽  
Science Framework ◽  
Source Of Information

Age of acquisition (AoA) is an important psycholinguistic variable that affects the performance of healthy individuals and patients in a large variety of cognitive tasks. For this reason, it becomes more and more compelling to collect new AoA norms for a large set of stimuli in order to allow better control and manipulation of AoA in future research. An important motivation of the present study is to extend previous Italian norms by collecting AoA ratings for a much larger range of Italian words for which concreteness and semantic-affective norms are now available thus ensuring greater coverage of words varying along these dimensions. In the present study, we collected AoA ratings for 1,957 Italian content words (adjectives, nouns and verbs), by asking healthy adult participants to estimate the age at which they thought they had learnt the word in a Web survey procedure. First, we found high split-half correlation within our sample, suggesting strong internal reliability. Second, our data indicate that the ratings collected in this study are as valid and reliable as those collected in previous studies for Italian across different age populations (adult and children) and other languages. Finally, we analyzed the relation between AoA ratings and other lexical-semantic variables (e.g. word frequency, imageability, valence, arousal) and showed that these correlations were generally consistent with the correlations reported in other normative studies for Italian and other languages. Therefore, our new AoA norms are a valuable source of information for future research in the Italian language. The datasets for this study can be found at the Open Science Framework repository (osf.io/3trg2).

Phonological priming in German Sign Language

2020 ◽  
Author(s):  
Anne Wienholz ◽  
Derya Nuhbalaoglu ◽  
Markus Steinbach ◽  
Annika Herrmann ◽  
Nivedita Mani
Keyword(s):  
Sign Language ◽  
Language Processing ◽  
Priming Effect ◽  
Location Parameter ◽  
Phonological Priming ◽  
Target Sign ◽  
Sign Recognition ◽  
Sentence Level ◽  
German Sign Language ◽  
Prime Target

Abstract A number of studies provide evidence for a phonological priming effect in the recognition of single signs based on phonological parameters and that the specific phonological parameters modulated in the priming effect can influence the robustness of this effect. This eye tracking study on German Sign Language examined phonological priming effects at the sentence level, while varying the phonological relationship between prime-target sign pairs. We recorded participants’ eye movements while presenting videos of sentences containing either related or unrelated prime-target sign pairs, and pictures of the target and an unrelated distractor. We observed a phonological priming effect for sign pairs sharing handshape and movement while differing in location parameter. Taken together, the data suggest a difference in the contribution of sign parameters to sign recognition and that sub-lexical features influence sign language processing.

scholarly journals Norming studies of European Portuguese words: A literature review

2021 ◽  
Vol 39 (1) ◽  
pp. 107-131
Author(s):  
Sara B. Félix ◽  
Josefa N. S. Pandeirada
Keyword(s):  
Literature Review ◽  
Scientific Community ◽  
Free Association ◽  
Age Of Acquisition ◽  
Open Science ◽  
Linguistic Research ◽  
European Portuguese ◽  
Science Framework ◽  
Year 2000

Words are widely used as stimuli in cognitive and linguistic research. As words may vary on various domains (e.g., lexicosemantic and affective), which can influence performance in many ways, it is essential to select them carefully. However, databases of European Portuguese words are still relatively scarce, and their presentation is spread in various sources. The aims of this work were: (1) to provide a review of the databases containing information on lexicosemantic, affective, and free association norming data for European Portuguese words published since the year 2000; (2) to summarize the definitions of the different variables; and (3) to combine in a single database the norming data available at this point. We found 25 databases with 18 containing lexicosemantic and affective norming data and seven containing word free association norms. These databases include words from various categories (e.g., nouns and adjectives), characterized on different variables (e.g., familiarity, imagery, valence, age of acquisition and animacy). This review provides a useful tool for researchers looking for Portuguese word-related resources. A thorough review of the databases, including some details about each one, is presented. The combined database is shared with the scientific community via the Open Science Framework: https://osf.io/9ta3y/.

Publikasi Akademik Sepanjang 2019

2019 ◽  
Author(s):  
Adib Rifqi Setiawan
Keyword(s):  
Open Science ◽  
Research Papers ◽  
Science Framework

Berikut ini beberapa publikasi saya pada 2019 ini. Penting atau tidak, saya menganggap bahwa publikasi hanyalah efek samping riset. Di luar publikasi ini, saya juga masih aktif sebagai penulis media daring, seperti Qureta.com, Selasar.com, dan SantriMilenial.net serta mengunggah beberapa artikel preprint melalui layanan Open Science Framework (OSF), EdArxiv.org, dan Research Papers in Economics (RePEc).

scholarly journals 3D Avatar Approach for Continuous Sign Movement Using Speech/Text

2021 ◽  
Vol 11 (8) ◽  
pp. 3439
Author(s):  
Debashis Das Chakladar ◽  
Pradeep Kumar ◽  
Shubham Mandal ◽  
Partha Pratim Roy ◽  
Masakazu Iwamura ◽  
...  
Keyword(s):  
Language Learning ◽  
Sign Language ◽  
Language Processing ◽  
Hearing Impaired ◽  
Learning System ◽  
English Sentence ◽  
Impaired People ◽  
Indian Sign Language ◽  
Impaired Person ◽  
3D Avatar

Sign language is a visual language for communication used by hearing-impaired people with the help of hand and finger movements. Indian Sign Language (ISL) is a well-developed and standard way of communication for hearing-impaired people living in India. However, other people who use spoken language always face difficulty while communicating with a hearing-impaired person due to lack of sign language knowledge. In this study, we have developed a 3D avatar-based sign language learning system that converts the input speech/text into corresponding sign movements for ISL. The system consists of three modules. Initially, the input speech is converted into an English sentence. Then, that English sentence is converted into the corresponding ISL sentence using the Natural Language Processing (NLP) technique. Finally, the motion of the 3D avatar is defined based on the ISL sentence. The translation module achieves a 10.50 SER (Sign Error Rate) score.

scholarly journals Genetic and Transcriptomic Biomarkers in Neurodegenerative Diseases: Current Situation and the Road Ahead

Cells ◽  
2021 ◽  
Vol 10 (5) ◽  
pp. 1030
Author(s):  
Julie Lake ◽  
Catherine S. Storm ◽  
Mary B. Makarious ◽  
Sara Bandres-Ciga
Keyword(s):  
Neurodegenerative Diseases ◽  
Large Scale ◽  
Disease Diagnosis ◽  
Open Science ◽  
Future Directions ◽  
The Road ◽  
Current State ◽  
Molecular Complexity ◽  
Science Framework ◽  
Lateral Sclerosis

Neurodegenerative diseases are etiologically and clinically heterogeneous conditions, often reflecting a spectrum of disease rather than well-defined disorders. The underlying molecular complexity of these diseases has made the discovery and validation of useful biomarkers challenging. The search of characteristic genetic and transcriptomic indicators for preclinical disease diagnosis, prognosis, or subtyping is an area of ongoing effort and interest. The next generation of biomarker studies holds promise by implementing meaningful longitudinal and multi-modal approaches in large scale biobank and healthcare system scale datasets. This work will only be possible in an open science framework. This review summarizes the current state of genetic and transcriptomic biomarkers in Parkinson’s disease, Alzheimer’s disease, and amyotrophic lateral sclerosis, providing a comprehensive landscape of recent literature and future directions.

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