Since 1964, as an adjunct to its automated technical information processing services to ERDA and other federal agencies, a generalized language translation system has been used by the Oak Ridge National Laboratory (ORNL) to translate Russian scientific text to English. The translation system, first implemented at Georgetown University around 1960, has been rewritten and improved through the years as computer models changed. Although the translations lack high literary quality, the system, by means of its context sensitive dictionary, nevertheless provides inexpensive, fast and highly useful translations of scientific literature.The method used involves a linguistically‐oriented programming language called Simulated Linguistic Computer (SLC), with which a language‐specific dictionary can be written for use by the translation system. The dictionary entry for any word can be augmented by procedures which permit its meaning to be modified by its context; more general linguistic procedures operate on the sentence as a whole.In an evaluation of user reaction, over ninety percent of the respondents rated the machine translation (MT) service “good” or “acceptable” on translations of their subject specialty. Development, implementation, and documentation of the system are continuing, as we meet increasing requests for service and attempt new applications of the MT system.

the nuclear community hy collecting, storing, evaluating, and disseminating safety information relevant, to the design and operation of nuclear facilities. In 1964, after about a year of operation, the information-handling system was computerized in order to increase broadly the scope of the Center's services and enable efficient functioning in the future. Computer programs were developed for the preparation of a bibliography, complete with key words and personal author indexes, that is issued quarterly and for a program of selective dissemination of information (SDI) that is produced on cards. These programs and other services of the Center are discussed.The USAEC established the Nuclear Safety Information Center (NSIC) at Oak Ridge National Laboratory (ORNL) in March, 1963. The Center serves the nuclear community by collecting, storing, evaluating, and disseminating safety information relevant to the design and operation of nuclear facilities (1). It was in operation almost immediately after its establishment because the scientists and engineers necessary to the operation of a center, and without which an information center is hardly more than a specialized library, were already on the ORNL staff or available through existing consulting contracts.The subject of nuclear safety was divided into 19 categories, such as Accident Analysis, and technical personnel were assigned on fractional-time basis to study these categories, prepare review articles and reports, answer inquiries, and catalog information.

The Nuclear Safety Information Center serves the nuclear community by collecting, storing, evaluating, and disseminating safety information relevant to the design and operation of nuclear facilities. In 1964, after about a year of operation, the information‐handling system was computerized in order to increase broadly the scope of the Center's services and enable efficient functioning in the future. Computer programs were developed for the preparation of a bibliography, complete with key‐words and personal author indexes, that is issued quarterly and for a program of selective dissemination of information (SDI) that is produced on 5 × 8 in. cards. These programs and other services of the Center are discussed.

The “peekaboo” idea from punched card information retrieval methods has been mated with the idea of superimposed punching to produce a programming technique which cuts computer run time in half on a test search of 33,000 subject index entries. A search program using the device has been operational since late 1963. As an item is entered in the store, an 18-byte mask is created from the item's meaningful words using the inclusive OR operation. If, at search time, the logical product (using the AND operation) of this mask and a similarly constructed question mask is not equal to the question mask , then one or more question words are not present in the store item. An equality is inconclusive; the words of the store item must be unpacked and compared with question words. The present store is made up of over 600,000 subject index entries estimated to average 60 characters each. Longer texts, such as abstracts, could be handled by multiple masks.