A Stratal OT Approach to a Noun-Verb Asymmetry With Respect to Opacity in Korean

This paper revisits the well-known opacity caused by the interaction of post-obstruent tensification and coda cluster simplification in Korean and suggests a new class of data that threatens the validity of previous approaches. The new data shows that the opacity occurs only if the input belongs to a certain morphological category such as verb. Therefore, it calls for a theory in which morphology and phonology are systematically interleaved, such as Stratal OT (Kiparsky, 2000). I show that the Stratal OT approach provides a solution to the problem since it adds derivational effects as well as morphological insights to an OT grammar

Prosodic disambiguation of wh-indeterminates in Mandarin Chinese

This study focuses on naturally occurring ambiguous utterances like “Zhōngguóduì shuí yě dǎ-bù-guò” in Mandarin to study if/how prosody is used for disambiguation of wh-indeterminates. The results of our production study suggest that wh-indeterminates are disambiguated prosodically. For the wh-region, interrogative readings are distinguished from indefinite readings by having a longer duration and higher maximum pitch. For the pre-wh region, longer duration was observed when the wh-word received interrogative readings and left-dislocated. For the post-wh region, significantly greater pitch excursion was observed for indefinite reading than for interrogative reading. In particular, the novel finding of post-wh pitch compression for wh-interrogatives in Mandarin is in line with what has been attested in other wh-in-situ languages, such as Japanese and Korean, which suggests shared prosodic mechanisms for disambiguating wh-indeterminates in wh-in-situ languages

Match me if you can: Semantic Correspondence Learning with Unpaired Images

Recent approaches for semantic correspondence have focused on obtaining high-quality correspondences using a complicated network, refining the ambiguous or noisy matching points. Despite their performance improvements, they remain constrained by the limited training pairs due to costly point-level annotations. This paper proposes a simple yet effective method that performs training with unlabeled pairs to complement both limited image pairs and sparse point pairs, requiring neither extra labeled keypoints nor trainable modules. We fundamentally extend the data quantity and variety by augmenting new unannotated pairs not primitively provided as training pairs in benchmarks. Using a simple teacher-student framework, we offer reliable pseudo correspondences to the student network via machine supervision. Finally, the performance of our network is steadily improved by the proposed iterative training, putting back the student as a teacher to generate refined labels and train a new student repeatedly. Our models outperform the milestone baselines, including state-of-the-art methods on semantic correspondence benchmarks.Comment: 12 page

Design of Single-modal Take-over Request in SAE Level 2 & 3 Automated Vehicle

Recently, cutting-edge technology has led to the development of automated vehicles, but the limitations of the related technology may lead to hazardous situations. This resulted in the remarkable significance of the interaction between automated vehicles and drivers. In particular, the transition between the driver and the automated vehicle in accordance with Level 3 of SAE J3016 is inevitable, and guidelines or standards regarding the takeover should be provided. Therefore, we aim to prepare the safety guidelines for the takeover and to conduct a comparative test. First, guidelines for visual, auditory, and haptic displays in existing vehicles were examined. Second, preliminary research was conducted on the modality of automated vehicles. Third, we carried out a modality investigation regarding the partially automated vehicle. Based on this, we proposed visual, auditory, and haptic signals for each modality. This will serve as a significant starting point for future research based on multimodal methods