This paper reports on a first experiment with developing a lexical knowledge resource for Urdu on the basis of Hindi WordNet. Due to the structural similarity of Urdu and Hindi, we can focus on overcoming the differences in the scriptual systems of the two languages by using transliterators. Various natural language processing tools, among them a computational semantics based on the Urdu ParGram grammar, can use the resulting basic lexical knowledge base for Urdu.

This paper proposes an additional layer of annotation for the recently established Hindi/Urdu Treebank. Despite the fact that the treebank already features a number of annotation layers such as phrase structure, dependency relations and predicate-argument structure, we see potential for the inclusion of a dependency layer generated from Lexical-Functional Grammar (LFG) f-structures with relations that we believe are crucial for a deep analysis of Urdu/Hindi. The suggestions are based on theoretical and computational investigations into Urdu/Hindi in the context of the Urdu ParGram grammar, through which we can automatically create the additional annotation layer.

This paper presents implementational issues of a finite-state approach for two crucial parts of Russian verbal morphology: Aspect formation and deverbal nominalization with nie based on aspect formation. The first process involves morphological blocking in order to avoid overgeneralization and is implemented with the xfst- tools via combining two powerful mechanisms - flag diacritics and rewrite rules. This considerably helps reducing the network size while having only small effects on processing time. Deverbal nominalization with nie has also been considered as involving some form of blocking. However, we show how to reanalyze this morphological process as a simple case of phonological neutralization which fits into a broader theory of the Russian sound system. The analysis and implementation presented here are thus theoretically consistent while maintaining implementational effectiveness.