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This paper presents the application of the <tiger2/> format to various linguistic scenarios with the aim of making it the standard serialisation for the ISO 24615 [1] (SynAF) standard. After outlining the main characteristics of both the SynAF metamodel and the <tiger2/> format, as extended from the initial Tiger XML format [2], we show through a range of different language families how <tiger2/> covers a variety of constituency and dependency based analyses.
Electronic dictionaries should support dictionary users by giving them guidance in text production and text reception, alongside a user-definable offer of lexicographic data for cognitive purposes. In this article, we sketch the principles of an interactive and dynamic electronic dictionary aimed at text production and text reception guiding users in innovative ways, especially with respect to difficult, complicated or confusing issues. The lexicographer has to do a very careful analysis of the nature of the possible problems to suggest an optimal solution for a specific problem. We are of the opinion that there are numerous complex situations where users need more detailed support than currently available in e-dictionaries, enabling them to make valid and correct choices. For highly complex situations, we suggest guidance through a decision tree-like device. We assume that the solutions proposed here are not specific to one language only but can, after careful analysis, be applied to e-dictionaries in different languages across the world.
Towards a part-of-speech ontology: encoding morphemic units of two South African Bantu languages
(2012)
This article describes the design of an electronic knowledge base, namely a morpho-syntactic database structured as an ontology of linguistic categories, containing linguistic units of two related languages of the South African Bantu group: Northern Sotho and Zulu. These languages differ significantly in their surface orthographies, but are very similar on the lexical and sub-lexical levels. It is therefore our goal to describe the morphemes of these languages in a single common database in order to outline and interpret commonalities and differences in more detail. Moreover, the relational database which is developed defines the underlying morphemic units (morphs) for both languages. It will be shown that the electronic part-of-speech ontology goes hand in hand with part-of-speech tagsets that label morphemic units. This database is designed as part of a forthcoming system providing lexicographic and linguistic knowledge on the official South African Bantu languages.