There is a method to detect ambiguous expressions in requirements specifications by using a dictionary focused on transitive verbs and their objects. This dictionary is constructed by extracting transitive verbs and objects from the requirements specifications and classifying them for inclusion based on specific conditions. By searching for sentences that contain both the transitive verbs and objects found in the dictionary, it is possible to detect sentences with ambiguous expressions. It has been observed that the accuracy of this dictionary improves when more requirements specifications are used as input data. However, since the selection criteria for constructing the dictionary and filtering ambiguous sentences after extraction have not been thoroughly examined, there is potential for further improving the accuracy of ambiguous sentence extraction. In this study, to further enhance the accuracy of this dictionary, we measured the distance between the detected transitive verbs and objects within sentences to determine whether the sentence is ambiguous. We conducted t-test on the difference in the average distance between transitive verbs and objects in ambiguous and non-ambiguous sentences. The two-tailed test at a 5% significance level yielded a p-value of 0.0367, indicating a significant difference in the distances between transitive verbs and objects. It is considered that by weighting the words in the dictionary based on the distance between transitive verbs and objects, the accuracy of the dictionary can be improved. If ambiguous expressions can be detected with high accuracy, it will increase the efficiency of reviewing the contents of requirements specifications and reduce the difficulty of clarifying specifications. This will contribute to better scope management in project management. As a result, it is expected to prevent delays and cost overruns, thereby contributing to more effective schedule and cost management.