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- W2070735964 abstract "Abstract This experiment was designed to investigate the impact on performance, while learning a query language, of specific instructions pertaining to the ‘deep-structure’ of the queries. The instructions related to deep-structure comprised training in analysing queries in natural language in terms of logical constituents. The effect of such instructions was investigated for two different query languages. One was a textual and one was a ‘graphic’ query language. The results suggested that the usefulness of explicit training in analysing queries in terms of logical deep-structure is dependent on the semantic constraints in the query language. The textual query language, which had keywords and a syntactical template such as GET_WHERE_EQ_ assumedly induced analysis of the query regardless of pretraining, while the graphic used in this study tended to encourage a trial-and-error approach, especially when no prior training in analysing queries was given." @default.
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- W2070735964 date "1991-12-01" @default.
- W2070735964 modified "2023-09-27" @default.
- W2070735964 title "Analysing the deep structure of queries: Transfer effect on learning a query language" @default.
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- W2070735964 doi "https://doi.org/10.1016/0001-6918(91)90012-o" @default.
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