Arborest – a VISL-Style Treebank Derived from an Estonian Constraint Grammar Corpus
Year: 2004
Type: conference-paper
Abstract: Treebank creation is a very labor-consuming task, especially if the applications intended include machine learning, gold standard parser evaluation or teaching, since only a manually checked syntactically annotated corpus can provide optimal support for these purposes. There are, however, possibilities to make the annotation process (partly) automatic, saving (manual) annotation time and/or allowing the creation of larger corpora. Whenever possible, existing resources – both corpora and grammars – should be reused. In the case of the Estonian treebank project Arborest, we have therefore opted to make use of existing technology and experiences from the VISL project, where two-stage systems including both Constraint Grammar (CG)and Phrase Structure Grammar (PSG)-parsers have been used to build treebanks for several languages (Bick, 2003 [1]). Moreover, the VISL annotation scheme has been adopted as a standard for tagging the parallel corpus in Nordic Treebank Network. For Estonian, there already exists a shallow syntactically annotated – and proof-read – corpus, allowing us to bypass the first step in treebank construction (CG-parsing). This paper describes how a VISL-style hybrid treebank of Estonian has been semi-automatically derived from this corpus with a special Phrase Structure Grammar, using as terminals not words, but CG function tags. We will analyze the results of the experiment and look more thoroughly at adverbials, non-finite verb constructions and complex noun phrases. The questions we will try to answer are:
Authors: Eckhard Bick, Heli Uibo, Kaili Müürisep
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W206179391