Stochastic Attribute Value Grammars (SAVG) provide an attractive framework for syntactic analysis, because they allow the combination of linguistic sophistication with a principled treatment of ambiguity. The paper introduces a widecoverage SAVG for Dutch, known as Alpino, and we show how this SAVG can be efficiently applied, using a beam search algorithm to recover parses from a shared parse forest. Unlike previous approaches, this algorithm does not place strict locality restrictions on the features used for disambiguation. Experimental results for a number of different corpora suggest that the SAVG framework is applicable for realistically sized grammars and corpora. 1

Data-driven identification of fixed expressions and their modifiability

SemFrame generates FrameNet-like frames, complete with semantic roles and evoking lexical units. This output can enhance FrameNet by suggesting new frames, as well as additional lexical units that evoke existing frames. SemFrame output can also support the addition of frame semantic relationships to WordNet.

Abstract The central problems that the project addresses are (i) the lack of large and rich formalized lexicons for multi-word expressions for use in NLP; (ii) the lack of proper methods and tools to extend the lexicon of an NLP-system for multi-word expressions given a text corpus in a maximally automated manner. Therefore, the project aims to develop innovative methods and tools for the automatic identification and lexical representation of multi-word expressions. Concomitantly, a 5000 entry corpus-based multi-word expression lexical database for Dutch will be developed. The database will be externally validated, and its usability will be evaluated in two independent NLP-systems for Dutch. The project contributes to the development of electronic lexicons, in particular for Dutch. The MWE database to be developed fills a gap in existing lexical resources for Dutch. The project carries out strategic research into generic methods and tools for MWE identification and lexical representation, focusing on Dutch, but these tools will be largely language-independent and can also be used for other languages, new domains, and beyond this project. In this way the project contributes directly to strengthening the digital infrastructure for Dutch.