The aim of the present study was to characterize effects of learning a sign language on the processing of a spoken language. Specifically, audiovisual phoneme comprehension was assessed before and after 13 weeks of sign language exposure. L2 ASL learners performed this task in the fMRI scanner. Results indicated that L2 American Sign Language (ASL) learners' behavioral classification of the spe...

In this paper, we propose a method to convert a written sentence in spoken language into a suitable representation in sign language within the framework of Combinatory Categorial Grammar (CCG). The representation reflects the multi-channel nature of sign language performance, including manual and non-manual linguistic signals of multiple channels and information about their coordination. We sho...

Language plays a vital role in the communication of ideas, thoughts, and information to others. Hearing-impaired people also understand our thoughts using language known as sign language. Every country has different which is based on their native In research paper, major focus Indian Sign Language, mostly used by hearing- speaking-impaired communities India. While communicating views with other...

One important theme in captioning is whether the implementation of captions in individual sign language interpreter videos can positively affect viewers' comprehension when compared with sign language interpreter videos without captions. In our study, an experiment was conducted using four video clips with information about everyday events. Fifty-one deaf and hard of hearing sign language users...

Abst rac t . A universal description method of sign language is the most fundamental requirement in sign language research. Although a number of methods including notations have been invented, few are in substantial use for describing general sign languages. In this paper, we present structural description method of hand configuration based on human hand structure and geometric sign features, a...

In this paper, a new sign-wise tied mixture HMM (SWTMHMM) is proposed and applied in vision-based sign language recognition (SLR). In the SWTMHMM, the mixture densities of the same sign model are tied so that the states belonging to the same sign share a common local codebook, which leads to robust model parameters estimation and efficient computation of probability densities. For the sign feat...

Iconicity should be taken into account for the comparison of lexical similarity in sign languages, but it should be excluded for the study of their historical relatedness. Woodward (1978, 1991, 1993) modified Swadesh list by excluding body part signs and pronouns for historical comparison. In addition to body part signs and pronouns, signs with similar iconic motivation are also excluded in thi...

We propose best practices for gloss annotation of sign languages taking into account the needs of data-driven approaches to recognition and translation of natural languages. Furthermore, we provide reference numbers for several technical aspects for the creation of new sign language data collections. Most available sign language data collections are of limited use to data-driven approaches, bec...