This paper examines the performance of multilingual parameterized grammar rules on speech recognition. We present a performance comparison of two different types of Japanese and English grammar-based speech recognizers. One system is derived from monolingual grammar rules and the other from multilingual parameterized grammar rules. The latter one uses hence the same grammar rules for creation of the language models for these two different languages. We carried out experiments on speech recognition of limited domain dialog application. These experiments show that the language models derived from multilingual parameterized grammar rules (1) perform equally well on both tested languages, on English and Japanese, and (2) that the performance is comparable with the recognizers derived from monolingual grammars that were explicitly developed for these languages. This suggests that the sharing grammar resources between different languages could be one solution for more efficient development of rule-based speech recognizers.