Multi-word units are lexical units that are written as more than one word. They constitute a rather heterogeneous class, whose only unifying feature is that they represent a mismatch between orthographic representation and lexical units. Included in this class are syntactically governed combinations (e.g. correspond with), complex prepositions (e.g. in spite of), collocations (e.g. put into pra...

We consider how the languages of G-automata compare with other formal language classes. We prove that if the word problem of G is accepted by a machine in the class M then the language of any G-automaton is in the class M. It follows that the so called counter languages (languages of Zn-automata) are context-sensitive, and further that counter languages are indexed if and only if the word probl...

This squib claims that Large-scale Automatic Sense Tagging of text (LAST) can be done at a high-level of accuracy and with far less complexity and computational effort than has been believed until now. Moreover, it can be done for all open class words, and not just carefully selected opposed pairs as in some recent work. We describe two experiments: one exploring the amount of information relev...

The SemEval-2007 task to disambiguate prepositions was designed as a lexical sample task. A set of over 25,000 instances was developed, covering 34 of the most frequent English prepositions, with two-thirds of the instances for training and one-third as the test set. Each instance identified a preposition to be tagged in a full sentence taken from the FrameNet corpus (mostly from the British Na...