Indexing medical text in journals or textbooks requires a tremendous amount of resources. We tested two algorithms for automatically indexing nouns, noun-modifiers, and noun phrases, and inferring selected binary relations between UMLS concepts in a textbook of infectious disease. Sixty-six percent of nouns and noun-modifiers and 81% of noun phrases were correctly matched to UMLS concepts. Sema...

This paper presents a supervised machine learning approach that uses a machine learning algorithm called Random Forest for recognition of Bengali noun-noun compounds as multiword expression (MWE) from Bengali corpus. Our proposed approach to MWE recognition has two steps: (1) extraction of candidate multi-word expressions using Chunk information and various heuristic rules and (2) training the ...

The ability to correctly interpret and produce noun-noun compounds such as WIND FARM or CARBON TAX is an important part of the acquisition of language in various domains of discourse. One approach to the interpretation of noun-noun compounds assumes that people make use of distributional information about how the constituent words of compounds tend to combine; another assumes that people make u...

This study clarifies the impact of switching context between noun and verb number agreement rules in written language production. In Experiment 1, children from grade 3 to 6 were asked to fill in sentences with nouns and verbs in either a switching condition (noun followed by verb) or a repeating condition (noun followed by noun). The results showed that thirdand fourth-grade children produced ...

BACKGROUND Previous studies of therapy for acquired anomia have treated nouns in isolation. The effect on nouns in connected speech remains unclear. In a recent study in 2012, we used a novel noun syntax therapy and found an increase in the number of determiner plus noun constructions in narrative after therapy. AIMS Two aims arose from the previous study: to identify the critical ingredient ...