Information transformations of parallel texts in knowledge extraction

The paper examines the task of goal-oriented discovery and filling of lacunas in linguistic typologies considered as forms of knowledge representation. The process of solving this task includes several repeated stages which collectively form one iteration of the proposed solution to the task of goal-oriented knowledge discovery in parallel texts required to fill the lacunas. Parallel texts as an information resource are transformed in the process of solving this task. The purpose of the paper is to describe the types of information transformations of parallel texts that are used during early stages of the process of knowledge*discovery and filling of lacunas in linguistic typologies. As a part of knowledge discovery, first, the parallel texts are fragmented into objects of interpretation and then, the search for potential sources of knowledge capable to fill the lacunas is performed. This paper considers this fragmentation process as one of the information transformation types of parallel texts.