No abstract

This paper focuses on two selected phonological patterns that appear unique to Saudi Arabian Sign Language (SASL). For both sections of this paper, the overall methodology is the same as that discussed in Stephen and Mathur (this volume), with some additional modifications tailored to the specific studies discussed here, which will be expanded upon later. This paper first focuses on the property of oscillation in certain SASL signs; then it investigates the process of weak-hand drop, comparing it across three sign languages.

Technological and language innovation often flow in concert with one another. Casual observation by researchers has shown that electronic communication memes, in the form of abbreviations, have found their way into spoken English. This study focuses on the current use of electronic modes of communication, such as cell smartphones, and e-mail, and how they affect American Sign Language. This study explores Deaf ASL users' perceptions of the extent that these memes have entered their signed lexicon. While the research focuses on social factors of age and gender in order to compare the use of these abbreviations by specific groups.

In this study, we conducted a pseudosign (nonce sign) repetition task with 22 children (mean age: 6;04) acquiring American Sign Language (ASL) as a first language (L1) from deaf parents. Thirty-nine pseudosigns with varying complexity were developed and organized into eight categories depending on number of hands, number of simultaneous movement types, and number of movement sequences. Pseudosigns also varied in handshape complexity. The children’s performance on the ASL pseudosign task improved with age, displaying relatively accurate (re)production of location and orientation, but much less accurate handshape and movement, a finding in line with real sign productions for both L1 and L2 signers. Handshapes with higher complexity were correlated with lower accuracy in the handshape parameter. We found main effects of sequential and simultaneous movement combinations on overall performance. Items with no movement sequence were produced with higher overall accuracy than those with a movement sequence. Items with two simultaneous movement types or a single movement type were produced with higher overall accuracy than those with three simultaneous movement types. Finally, number of hands did not affect the overall accuracy. Remarkably, movement sequences impose processing constraints on signing children whereas complex hands (two hands) and two simultaneous movement types do not significantly lower accuracy, indicating a capacity for processing multiple simultaneous components in signs. Spoken languages, in contrast, manifest greater complexity in temporal length. Hearing children’s pseudoword repetition still displays high levels of accuracy on disyllabic words, with complexity effects affecting only longer multisyllabic words. We conclude that the pseudosign repetition task is an informative tool for studies of signing children’s phonological development and that sheds light on potential modality effects for phonological development.