We analyze classifier predicates in Russian Sign Language (RSL) using a combination of naturalistic corpus and elicited data in order to determine their argument structure, and to test the generalization, based on research ...

Using quantitative methods, we analyze naturalistic corpus data in two sign languages, German Sign Language and Russian Sign Language, to study subject-omission patterns. We find that, in both languages, the interpretation ...

When describing variation at the lexical level in sign languages, researchers often distinguish between phonological and lexical variants, using the following principle: if two signs differ in only one of the major ...

This paper presents a new large-scale signer independent dataset for Kazakh-Russian Sign Language (KRSL) for the purposes of Sign Language Processing. We envision it to serve as a new benchmark dataset for performance ...

This chapter discusses the terminology commonly used in the information structure literature: in particular, topic, focus, contrast, and emphasis. An important component of our discussion is the impact of the visual-gestural ...

We studied lexical expressions of time in Russian Sign Language (RSL). We collected lexical signs describing a variety of time-related concepts produced by fifteen RSL signers from different regions. We then analyzed ...

The study of quantificational expressions is one of the central domains in the field of natural language semantics. Probably every language has means of expressing quantification, but quantifiers in natural languages are ...

We investigate transitivity prominence of verbs across signed and spoken languages, based on data from both valency dictionaries and corpora. Our methodology relies on the assumption that dictionary data and corpus-based ...