Victoria Rosén

Speeding up LFG Parsing Using C-Structure Pruning

In this paper we present a method for greatly reducing parse times in LFG parsing, while at the same time maintaining parse accuracy. We evaluate the methodology on data from English, German and Norwegian and show that the same patterns hold across languages. We achieve a speedup of 67% on the English data and 49% on the German data. On a small amount of data for Norwegian, we achieve a speedup of 40%, although with more training data we expect this figure to increase.

The very model of a modern linguist — in honor of Helge Dyvik

The topic of this paper is Old English and Old Norwegian noun phrases containing two attributive adjectives. An overview of the frequency of various word order constellations will be given, before we zoom in on one of them, namely the construction Adjective – Adjective – Noun, i.e. noun phrases in which two prenominal adjectives occur next to each other without a coordinating conjunction. Old English and Old Norwegian will be compared with respect to which adjectives occur in this position. The paper also includes an intermezzo, during which we investigate what happens to adjective position when a text is translated from present-day English into Old English.

The enrichment of lexical resources through incremental parsebanking

Automatic syntactic analysis of a corpus requires detailed lexical and morphological information that cannot always be harvested from traditional dictionaries. Therefore the development of a treebank presents an opportunity to simultaneously enrich the lexicon. In building NorGramBank, we use an incremental parsebanking approach, in which a corpus is parsed and disambiguated, and after improvements to the grammar and the lexicon, reparsed. In this context we have implemented a text preprocessing interface where annotators can enter unknown words or missing lexical information either before parsing or during disambiguation. The information added to the lexicon in this way may be of great interest both to lexicographers and to other language technology efforts.