Epenthesis in Italian Sign Language

2009 ◽  
Vol 12 (1) ◽  
pp. 3-51 ◽  
Author(s):  
Carlo Geraci
Keyword(s):  
American Sign Language ◽  
Sign Language ◽  
The Body ◽  
The Other ◽  
American Sign ◽  
General Phenomenon ◽  
Formal Approach ◽  
Neutral Space ◽  
The One ◽  
Selection Of

The aim of this study is to provide a detailed account for the phenomenon of movement epenthesis in Italian Sign Language (LIS). LIS displays at least two cases of epenthesis of movement, one affecting signs that involve contact with the body, the other affecting signs that do not (i.e. signs articulated in neutral space). The two cases of epenthesis of movement receive a unified analysis, once the mechanism of selection of the plane of articulation is spelled out. The general phenomenon of movement epenthesis is captured by a formal approach within a constraint-based framework, such as the one developed first for American Sign Language (ASL) in Brentari (1998). Cases of movement epenthesis in ASL will be discussed and compared to cases of LIS epenthesis

scholarly journals The relationship between body weight and exterior measurements in domestic ostriches during the first four months after hatching

2007 ◽  
Vol 23 (1-2) ◽  
pp. 13-20
Author(s):  
Andrey Kurtenkov
Keyword(s):  
Body Weight ◽  
Detailed Analysis ◽  
The Body ◽  
The Other ◽  
Phenotypic Correlation ◽  
Other Hand ◽  
The One ◽  
The Relationship ◽  
Selection Of

It is related leg problems to the realization of the necessity of doing a detailed analysis of the phenotype correlations between body weight and exterior measurements. As a result of the study, lower coefficients have been obtained of the correlation between the girth of the tarso metatarsus on one hand, and the body weight and the girth behind the wings, on the other hand (respectively 0.563 and 0.608), compared with the one between the body weight and the girth behind the wings (0.898). It is advisable in the selection of ostriches to take into consideration the necessity of a higher phenotypic correlation between the girth of the tarso metatarsus on the one hand, and the body weight and the girth behind the wings on the other hand, with a view to preventing leg problems.

scholarly journals American Sign Language Recognition Using an FMCW Wireless Sensor (Student Abstract)

2020 ◽  
Vol 34 (10) ◽  
pp. 13781-13782
Author(s):  
Yuanqi Du ◽  
Nguyen Dang ◽  
Riley Wilkerson ◽  
Parth Pathak ◽  
Huzefa Rangwala ◽  
...  
Keyword(s):  
American Sign Language ◽  
Sign Language ◽  
Continuous Wave ◽  
The Body ◽  
Wireless Sensor ◽  
American Sign ◽  
Language Recognition ◽  
Sign Language Recognition ◽  
Wave Radar ◽  
Cloud Points

In today's digital world, rapid technological advancements continue to lessen the burden of tasks for individuals. Among these tasks is communication across perceived language barriers. Indeed, increased attention has been drawn to American Sign Language (ASL) recognition in recent years. Camera-based and motion detection-based methods have been researched extensively; however, there remains a divide in communication between ASL users and non-users. Therefore, this research team proposes the use of a novel wireless sensor (Frequency-Modulated Continuous-Wave Radar) to help bridge the gap in communication. In short, this device sends out signals that detect the user's body positioning in space. These signals then reflect off the body and back to the sensor, developing thousands of cloud points per second, indicating where the body is positioned in space. These cloud points can then be examined for movement over multiple consecutive time frames using a cell division algorithm, ultimately showing how the body moves through space as it completes a single gesture or sentence. At the end of the project, 95% accuracy was achieved in one-object prediction as well as 80% accuracy on cross-object prediction with 30% other objects' data introduced on 19 commonly used gestures. There are 30 samples for each gesture per person from three persons.

A Method for Examining Gestural Language Structure

1987 ◽  
Vol 64 (2) ◽  
pp. 391-397
Author(s):  
Edward J. Hass ◽  
Karen M. Sams
Keyword(s):  
American Sign Language ◽  
Sign Language ◽  
Light Flash ◽  
Dependent Measure ◽  
The Other ◽  
American Sign ◽  
Language Structure ◽  
Random Placement ◽  
Sign Sequence ◽  
Speech Segments

This experiment tested the hypothesis that syntactic constituents in American Sign Language (ASL) serve as perceptual units. We adapted the strategy first employed by Fodor and Bever in 1965 in a study of the psychological reality of linguistic speech segments. Four deaf subjects were shown ASL sign sequences constructed to contain a single constituent break. The dependent measure was the subjective location of a light flash occurring during the sign sequence. The prediction that the flashes would be attracted to the constituent boundary was supported for two of the subjects, while the other two showed random placement of the flash location on either side of the constituent boundary. The two subjects not performing in the predicted direction were more proficient in English (written) than the two giving the effect. It was suggested that this relatively greater proficiency may have interfered in some way with the ASL syntax to produce the results obtained.

A sonority cycle in American Sign Language

Phonology ◽  
1993 ◽  
Vol 10 (2) ◽  
pp. 243-279 ◽  
Author(s):  
Wendy Sandler
Keyword(s):  
American Sign Language ◽  
Sign Language ◽  
The Body ◽  
American Sign ◽  
Single Location

It is generally accepted that there are three major categories of phonological elements in the signs of sign language: (i) the shape of the hand, (ii) the location of the hand on or near the body and (iii) the movement of the hand – either (a) movement of the fingers or palm at a single location or (b) movement of the whole hand along a path from one location to another. It has further been argued that each of these categories consists of hierarchically organised classes of features (Sandler 1987b, 1989a).

Lending a helping hand: Linguistic input and sign language acquisition in deaf children

1985 ◽  
Vol 6 (4) ◽  
pp. 357-370 ◽  
Author(s):  
Philip M. Prinz ◽  
Louise Masin
Keyword(s):  
American Sign Language ◽  
Sign Language ◽  
Deaf Children ◽  
Sentence Structure ◽  
American Sign ◽  
Stage Of Development ◽  
Spontaneous Production ◽  
Linguistic Input ◽  
Teachers And Parents ◽  
The One

ABSTRACTThis study examined the effects of adult “recasting” in sign language on the acquisition of specific syntactic-semantic structures by six deaf children between 9 and 76 months who were primarily at the one-sign utterance stage of development. In “recast” replies in conversation, the child's utterance is redisplayed in an altered sentence structure that still refers to the central meanings of the first sentence. Syntactic-semantic structures targeted for input intervention by teachers and parents using recasts included subject–verb relations, attribution, negation, subject–verb–object relations, conjunction, and conditionality. Recasting triggered the acquisition of new syntactic-semantic structures in American Sign Language and English which were evident in the spontaneous production of previously non-used sign utterances.

scholarly journals Rancang Bangun Alat Penerjemah ASL (American Sign Language) dengan Sensor Flex Berbasis Mikrokontroler ATmega2560

2018 ◽  
Vol 14 (1) ◽  
pp. 75-82
Author(s):  
Agung Budi Prasetijo ◽  
Muhamad Y. Dias ◽  
Dania Eridani
Keyword(s):  
American Sign Language ◽  
Sign Language ◽  
Hard Of Hearing ◽  
Rapid Development ◽  
The Body ◽  
American Sign ◽  
Literature Study ◽  
The People ◽  
Central Controller ◽  
Flex Sensors

Deaf or hard-of-hearing people have been using The American Sign Language (ASL) to communicate with others. Unfortunately, most of the people having normal hearing do not learn such a sign language; therefore, they do not understand persons with such disability. However, the rapid development of science and technology can facilitate people to translate body or part of the body formation more easily. This research is preceded with literature study surveying the need of sensors embedded in a glove. This research employs five flex sensors as well as accelerator and gyroscope to recognize ASL language having similar fingers formation. An Arduino Mega 2560 board as the central controller is employed to read the flex sensors’ output and process the information. With 1Sheeld module, the output of the interpreter is presented on a smartphone both in text and voice. The result of this research is a flex glove system capable of translating the ASL from the hand formation that can be seen and be heard. Limitations were found when translating sign for letter N and M as the accuracy reached only 60%; therefore, the total performance of this system to recognize letter A to Z is 96.9%.

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