Automatically extracting keyphrases from documents is a task with many applications in information retrieval and natural language processing. Document retrieval can be biased towards documents containing relevant keyphrases; documents can be classified or categorized based on their keyphrases; automatic text summarization may extract sentences with high keyphrase scores. This paper describes a ...

We developed on example-based method of metonymy interpretation. One advantages of this method is that a hand-built database of metonymy is not necessary because it instead uses examples in the form “Noun X no Noun Y (Noun Y of Noun X).” Another advantage is that we will be able to interpret newly-coined metonymic sentences by using a new corpus. We experimented with metonymy interpretation and...

Türkçede eklerin büyük bir öneminin olduğu herkesin malumudur. Bu ekler içerisinde de yapım ekleri, yeni kelimelerin türetilmesi ve çeşitli anlam ilgilerinin kurulmasında kullanılır. durum, Türkçenin tarihi seyri boyunca az-çok değişikliğe uğramasıyla belli düzen devam etmiştir. Aynısı, +sAk, -sAk ekleri için geçerlidir. ek zaman hem yapı bakımından bazı değişikliklere uğramıştır. Önceleri isim...

A model of sentence comprehension postulating that Subject-Verb-Object relations are specified prior to Noun-Adjective relations received support from a study of the speed at which sentences with various kinds of violations could be rejected. Compatible with the sequential model was the finding that Noun-Verb and Adjective-Noun double violations did not result in shorter RTs than Noun-Verb sing...

Analyses of Tongan noun incorporation in the general typological surveys of noun incorporation (Mithun 1984, Gerdts 1998) have argued that this Tongan construction involves syntactic juxtaposition of a verb and a single noun. Given data as such in (1), this would seem to be correct, since ordinary transitive sentences like (1a) contrast with sentences with incorporation, like (1b), in that the ...

A natural language parser that could extract noun phrases for all medical texts would be of great utility in analyzing content for information retrieval. We discuss the extraction of noun phrases from MEDLINE, using a general parser not tuned specifically for any medical domain. The noun phrase extractor is made up of three modules: tokenization; part-of-speech tagging; noun phrase identificati...

This paper presents an algorithm for selecting an appropriate classifier word for a noun. In Thai language, it frequently happens that there is fluctuation in the choice of classifier for a given concrete noun, both from the point of view of the whole speech community and individual speakers. Basically, there is no exact rule for classifier selection. As far as we can do in the rule~based appro...