In this paper, we describe an intonational quality scoring system for foreign language learning. We employed the segmental K-means algorithm to segment the speech into syllables and a pitch detection algorithm to extract the intonational features. We classified the segmented syllables into 5 types according to the shapes of the pitch contours in them. To present visual aids to students, we displayed the classified tonal pitch type of each syllable and the overall pitch movement tendency of the test and reference sentences. We devised an algorithm to obtain a score from the spoken sentence and used this value as a measure for assessing the intonational quality.