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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(More)
This paper discusses the construction of a parallel treebank currently involving ten languages from six language families. The treebank is based on deep LFG (Lexical-Functional Grammar) grammars that were developed within the framework of the ParGram (Parallel Grammar) effort. The grammars produce output that is maximally parallelized across languages and(More)
We present the methodology and results of a survey on the annotation of mul-tiword expressions in treebanks. The survey was conducted using a wiki-like website filled out by people knowledgeable about various treebanks. The survey results were studied with a comparative focus on prepositional MWEs, verb-particle constructions and multiword named entities.
Automatic syntactic analysis of a corpus requires detailed lexical and morphological information that cannot always be harvested from traditional dictionaries. In building the INESS Norwegian treebank, it is often the case that necessary lexical information is missing in the morphology or lexicon. The approach used to build the treebank is incremental(More)
This paper briefly describes the current state of the evolving INESS infrastructure in Norway which is developing treebanks as well as making treebanks more accessible to the R&D community. Recent work includes the hosting of more treebanks, including parallel treebanks, and increasing the number of parsed and disambiguated sentences in the Norwegian LFG(More)
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