OBJECTIVE Identify the lexical content of a large corpus of ordinary medical records to assess the feasibility of large-scale natural language processing. METHODS A corpus of 560 megabytes of medical record text from an academic medical center was broken into individual words and compared with the words in six medical vocabularies, a common word list, and a database of patient names. Unrecogn...

This paper is an analysis of lexical choices, pronunciation errors, and discourse features found in a corpus of student presentation speech. The speakers were Swedish natives studying Technical English. Particular emphasis is given to the pronunciation of the words most often used in academic texts. 93% of words used in the corpus came from the most frequent 2570 lexemes of academic written Eng...