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Here we present a novel approach for automated creation of parallel New Testament corpora with cross-lingual semantic concordance based on Strong's numbers. There is a lack of available digital Biblical resources for scholars. We present two approaches to tackle the problem, a dictionary-based approach and a CRF model and a detailed evaluation on annotated and non-annotated translations. We discuss a proof-of-concept based on English and German New Testament translations. The results presented in this paper are novel and according to our knowledge unique. They present promising performance, although further research is necessary.
EN
This article discusses the disadvantages of the existing solutions for extraction of information from databases. A solution is proposed, whose main purpose is to facilitate the extraction of information from a database using a natural Polish language as a database query language. It focuses in this area on a serious problem which is the correct interpretation and extraction of the conditions used in queries formulated in natural Polish language. Now instead of forcing user to learn complex query language, graphic user interfaces are developed, which cover all required functionality. Thanks to GUI, user can extract all required data. Disadvantages of this kind of systems is fact, that they allow extract only those data which have been specified during designing an informatic system. To increase functionality for that kind of systems, we should add new functions what may generate additional cost. Scientists by increasing functionality of query languages trying to create more user-friendly query language. Thanks to that, user can work with database systems in more natural way for him. In papers the prototype system is shown, which main purpose is using natural Polish language as a database query language. Authors discuss problems which was met by researcher during designing that kind of system. Main problem which is described in article is a problem extraction of query condition, which is required by WHERE function of SQL and used for filter results of extracted data. In papers Authors discuss problem for extracting words and conversion of them to equivalent names of columns and tables. They also propose an algorithm, which allow to identify all required data. Based on these data is possible to create database query equivalent to the meaning of query create in natural Polish language.
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