Orð og tunga - 01.06.2006, Qupperneq 53

Orð og tunga - 01.06.2006, Qupperneq 53
Mattheiv Whelpton: Argument Structure 51 linguistics. Such work however is also related to the other develop- ment mentioned earlier - corpora. Levin's work would not have been possible without the availability of computer corpora. Corpora make it possible to investigate directly the patterns in which particular words appear. A grammatically tagged corpus allows us to investigate the full range of "altemate syntactic environments" in which verbs ap- pear. 2.3 Corpora and lexical analysis This brings us to another example of work where both lexicographers and linguistics can share and interact - the WordNet project (http://wordnet.princeton.edu/). "WordNet® is an online lexical reference system whose design is inspired by current psycholinguistic theories of human lexical mem- ory. English nouns, verbs, adjectives and adverbs are organized into synonym sets, each representing one underlying lexical concept. Dif- ferent relations link the synonym sets." o The verb cut has 41 senses (first 10 from tagged texts) o 1. (58) cut — (separate with or as if with an instrument; "Cut the rope”) o 2. (18) reducc, cut down, cut back, trim, trim down, trim back, cut, bring down — (cut down on; make a reduction in; "reduce your daily fat intake"; "The employer wants to cut back health benefits") o 3. (3) swerve, shcer, curve, trcnd, veer, slue, slew, cut -- (tum sharply; change dírection abruptly; "The car cut to the lcft at the interseetion"; "The motorbike veered to the right") o 4. (2) cut - (make an incision or separation; "cut along the dotted line") o ... Figure 5 - WordNet entry for verb “cut” Such work is obviously of direct interest to lexicographers but as the description of WordNet shows, there is a strong linguistic motivation for the project, again in terms of the conceptual structures that imder- lie lexical organisation. This development is taken much further by Charles Fillmore (Berkley) in the FrameNet project (http://framenet.icsi.berkeley.edu). This is an attempt to model word properties within a cognitive grammar framework in which syntactic distributions and cognitive frames of reference for word senses come together. As in WordNet, a verb is listed with a number of senses, though in this case, the senses are not defined in terms of synonym sets but
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