Pronunciation variation is ubiquitous in the speech signal. Different models of lexical representation have been put forward to deal with speech variability, which differ in the level as well as... Show morePronunciation variation is ubiquitous in the speech signal. Different models of lexical representation have been put forward to deal with speech variability, which differ in the level as well as the nature of mental representation. We present the first mismatch negativity (MMN) study investigating the effect of allophonic variation on the mental representation and neural processing of lexical tones. Native speakers of Standard Chinese (SC) participated in an oddball electroencephalography (EEG) experiment. All stimuli have the same segments (ma) but different lexical tones: level [T1], rising [T2], and dipping [T3]. In connected speech with a T3T3 sequence, the first T3 may undergo allophonic change and is produced with a rising pitch contour (T3V), similar to the lexical T2 pitch contour. Four oddball conditions were constructed (T1/T3, T3/T1, T2/T3, T3/T2; standard/deviant). All four conditions elicited MMN effects, with the T1–T3 pair eliciting comparable MMNs, but the T2–T3 pair asymmetrical MMN effects. There were significantly greater and earlier MMN effects in the T2/T3 condition than that in the reversed T3/T2 condition. Furthermore, the T3/T2 condition showed more rightward MMN effects than the T2/T3 condition and the T1–T3 pair. Such asymmetries suggest co-activation of long-term memory representations of both T3 and T3V when T3 serves as the standard. The acoustic similarity between the activated T3V (by the standard T3) and the incoming deviant stimulus T2 induces acoustic processing of the tonal contrast in the T3/T2 condition, similar to that of within-category lexical tone processing, which is in contrast to the processing of between-category lexical tones observed in the T2/T3, T1/T3, and T3/T1 conditions. Show less
Pronunciation dictionaries are usually expensive and time-consuming to prepare for the computational modeling of human languages, especially when the target language is under-resourced. Northern... Show morePronunciation dictionaries are usually expensive and time-consuming to prepare for the computational modeling of human languages, especially when the target language is under-resourced. Northern Chinese dialects are often under-resourced but used by a significant number of speakers. They share the basic sound inventories with Standard Chinese (SC). Also, their words usually share the segmental realizations and logographic written forms with the SC translation equivalents. Hence the pronunciation dictionaries of northern Chinese dialects could be easily available if we were able to predict the tonal realizations of the dialect words from the tonal information of their SC counterparts. This paper applies statistical modeling to investigate the tonal aspect of the related words between a northern dialect, i.e. Jinan Mandarin (JM), and Standard Chinese (SC). Multi-linear regression models were built with between-word pitch distance of JM words as the dependent variable and the following were included as the predictors: SC tonal relations, between-dialect tonal identity, and individual backgrounds. The results showed that tonal relations in SC and between-dialect identity, as predictors featuring the relation between the JM and SC tonal systems, are significant and robust predictors of JM tonal realizations. The speakers’ sociolinguistic and cognitive backgrounds, together with the tonal merge and neutral tone information within JM, are important for the prediction of JM tonal realizations and affect the way that between-language predictors take effect. Show less
