caa a22 4500 465751997 CHVBK 20180323111836.0 cr unu---uuuuu 170327e19901201xx s 000 0 eng 10.1007/BF00713702 doi (NATIONALLICENCE)springer-10.1007/BF00713702 Tong Loong Computer-Aided Translation Project, School of Mathematical and Computer Sciences, Universiti Sains Malaysia, Penang, Malaysia aut A data-driven control strategy for grammar writing systems [Elektronische Daten] [Loong Tong] A natural-language description written in a production-type grammar writing language is defined by a set of grammar rules and a control mechanism. This paper introduces such grammer writing systems and highlights the relationship between the two components. It then proposes a data-driven control strategy, which offers several advantages over existing systems in terms of grammar development and maintenance and computational efficiency. This data-driven control strategy divides the grammar into active and inactive rules. Active rules are attached to their corresponding nodes in the test structure and only these rules participate in the pattern matching process. Upon the successful application of one rule, a new set of active rules will be derived. This derivation involves a search process, simplified by a pre-compilation of the grammar which determines the interaction between rules. This scheme also automatically partitions the grammar according to linguistic classes and provides an incremental way of writing ambiguity rules. Kluwer Academic Publishers, 1989 control strategy nationallicence grammar partitioning nationallicence grammar writing system nationallicence Malay production systems nationallicence rules interaction nationallicence Machine Translation Kluwer Academic Publishers 4/4(1990-12-01), 281-297 0922-6567 4:4<281 1990 4 10590 https://doi.org/10.1007/BF00713702 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/BF00713702 text/html Onlinezugriff via DOI NATIONALLICENCE 100 1- Tong Loong Computer-Aided Translation Project, School of Mathematical and Computer Sciences, Universiti Sains Malaysia, Penang, Malaysia aut NATIONALLICENCE 773 0- Machine Translation Kluwer Academic Publishers 4/4(1990-12-01), 281-297 0922-6567 4:4<281 1990 4 10590 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer