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We describe the status of work intending at including sign language lexical data within the OntoLex-Lemon framework. Our general goal is to provide for a multimodal extension to this framework, which was originally conceived for covering only the written and phonetic representation of lexical data. Our aim is to achieve in the longer term the same type of semantic interoperability between sign language lexical data as this is achieved for their spoken or written counterparts. We want also to achieve this goal across modalities: between sign language lexical data and spoken/written lexical data.
Making 1:n explorable: a search interface for the ZAS database of clause-embedding predicates
(2017)
We introduce a recently published corpus-based database of German clause-embedding predicates and present an innovative web application for exploring it. The application displays the predicates and the corpus examples for these predicates in two separate tables that can be browsed and searched in real time. While familiar web interface paradigms make it easy for users to get started, the data presentation and the interactive advanced search components for the two tables are designed to accommodate remarkably complex query needs without the need for resorting to a dedicated query language or a more specialized tool. The 1:n relationship between predicates and their examples is exploited in the two tables in that, e.g. the predicate table also shows, for each predicate and each example attribute, all values that occur in the examples for this predicate. An easy-to-use visual query builder for arbitrary Boolean combinations of search criteria can optionally be displayed to pre-filter the underlying data presented in both tables. Several options for altering quantifier scope can be activated with simple checkboxes and considerably widen the space of searchable constellations.