On interactive summarization oriented to machine translation

The article describes a method of developing an automated system for creating summaries that meet state standard specification requirements and facilitate their subsequent translation into a foreign language. The approach is a combination of empirical and rational NLP techniques. It is illustrated by an interactive system for generating summaries of research papers on mathematical modeling. The output of the system is summaries in Russian and a list of Russian-English equivalents of the lexical units used in the summary.