niols. of iodine chloride. It forms long yellow needles, soluble in hot water, melting a t 1 uGo, and exhibiting feeble basic properties. Note on Pnra-,Vitro a n d Pura-Amido PWenetd, E. J. HALLocK.-Phenetol, when treated with fuming nitric acid, yields a dark-red, viscous liquid, which, on distillation, is separated into a

This paper describes an automated procedure for morphosemantic analysis and semantic interpretation of medical compound word forms ending in -ITIS. The requirements for morphosemantic analysis of -ITIS forms include : a) semantic classification of morphosemantic constituents forming -ITIS word forms, b) establishment of morphosemantic distribution patterns occurring in -ITIS forms, c) preparation of paraphrasing rules.

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This paper describes a methodology for automated morphosemantic segmentation and semantic interpretation (paraphrasing rules) of medical compound word forms derived from Greek and Latin and denoting surgical procedures. Possible applications of such a procedure in medicine include the construction of computer-based medical dictionaries, automated processing of medical language, facilitation of international communication through national medical language, and vocabulary training for medical and paramedical personnel.

This paper describes recent work on the Unisys ATIS Spoken Language System, and reports benchmark results on natural language, spoken language, and speech recognition. We describe enhancements to the system's semantic processing for handling non.transparent argument structure and enhancements to the system's pragmatic processing of material in art. swers displayed to the user. We found that the system's score on the natural language benchmark test decreased from ~8~o to 36~ without these enhancements. We also report results for three spoken language systems, Unisys natural language coupled with MIT-Summit speech recognition, Unisys natural language coupled wish MIT-Lincoln Labs speech recognition and Unisys natural language coupled with BBN speech recognition. Speech recognition results are reported on the results of the Unisys natural language selecting a candidate from the MIT-Summit N-best (N=16).