LDL | Department of Linguistics | HKUNews from the Language Development Lab.
Our Hong Kong Sign Language was covered in the November issue of HKU Bulletin. Read more here:
Kathy, G., & Teri, F. (2024, November). A voice for the deaf. (W. Ho, T. Leung, N. Yu, K. Au, & S. Leung, Eds.) The University of Hong Kong Bulletin, 26(1), 40–41. Retrieved 2024, from https://www4.hku.hk/pubunit/Bulletin/ebook_2024Nov(26.1)/40-41/.
Ivy recently presented at the Annual Meeting on Phonology 2024 (AMP2024), held from November 1-3 at Rutgers University, on the paper “Learners’ generalization of alternation patterns from ambiguous data”. The paper, written by Bingzi, Ivy and Yonugah, explored the intriguing question of how language learners generalize patterns from ambiguous linguistic data.
The research focuses on the acquisition of alternation patterns, a type of phonological process that involves changes in sound patterns across different word forms. By examining how learners handle ambiguous data, the study sheds light on the cognitive mechanisms underlying phonological learning.
The study highlighted the complex interplay between simplicity and complexity in language acquisition. While learners tend to favor simpler generalizations, they are also capable of acquiring more intricate patterns under specific conditions.
This research has significant implications for our understanding of language development, particularly in the realm of phonology. It contributes to ongoing debates about the role of simplicity and complexity in shaping linguistic knowledge.
Our Hong Kong Sign Language project is featured in this month’s HKU Impact. Read more here:
We are thrilled to announce that the Language Development Lab (LDL) has been awarded the Faculty Knowledge Exchange Award 2024 for our project titled “The Sound of Silence: A Journey Through Deaf Culture in Hong Kong.” This prestigious award recognizes outstanding research projects that demonstrate exceptional knowledge exchange between the University and the broader community.
Led by Youngah, the LDL team has been working collaboratively with various Deaf community organizations for the past few years. This project aimed to document, preserve, and promote Hong Kong Sign Language (HKSL), while also fostering understanding and inclusivity between the Deaf and hearing communities.
Highlights of the Project’s Impact:
Overall, this project has made significant strides in:
The LDL team is incredibly proud of this achievement and the positive impact this project has had on the Deaf community in Hong Kong. We are committed to continuing our research and outreach efforts to ensure the vibrancy and accessibility of HKSL.
Further details on the project, including its methodology, findings, and beneficiaries, can be found on the KE Awards webpage: Faculty KE Awards
(In no particular order)
The Department of Linguistics at HKU has collaborated with the following parties for this project (in no particular order):
We are pleased to announce the publication of a new research article titled “Tracking phonological regularities: exploring the influence of learning mode and regularity locus in adult phonological learning” in the journal Linguistics Vanguard. The paper, authored by Xiaoyu, Thomas, Frank, Albert, and Youngah, investigates the ways adults learn phonological patterns in language.
The study focused on the concept of regularity tracking, where learners subconsciously identify and utilize consistent patterns within a language system. The researchers examined how two factors – the learner’s approach (goal-oriented vs. exploratory) and the type of regularity (phonotactics vs. alternation) – influence this process.
Participants were tasked with acquiring vowel harmony rules for forming plurals in an experimental language. Across four conditions, researchers manipulated both the learning approach (whether participants were explicitly given a learning goal) and the type of regularity present in the language (phonotactics governed vowel selection vs. random vowel alternations).
The study’s key finding is that learners exhibited a stronger preference for identifying regularities when they had no explicit learning goal and when the language contained random alternations. This suggests that statistical learning mechanisms – which underlie our ability to unconsciously pick up on patterns – are influenced by the level of uncertainty in the learning environment and the nature of the regularity itself. Learners seem to be more sensitive to avoiding irregularities, particularly when the structure of the language itself is unpredictable. The findings overall suggest that learning strategies and the inherent structure of the language itself play a role in shaping how learners identify and utilize regularities within phonological patterns.
Yu, X., Van Hoey, T., Tan, F., Du, B. & Do, Y. (2024). Tracking phonological regularities: exploring the influence of learning mode and regularity locus in adult phonological learning. Linguistics Vanguard. open_in_newDOI file_download PDF
Our lab members recently presented in the recent LabPhon19 conference, held from June 27th to 29th, 2024, in Seoul, South Korea. The conference theme was “Where speech sounds meet the architecture of the grammar and beyond.” We presented findings from three distinct areas of investigation: phonetic substance in language learning, tonal representation in Hakka dialects, and the influence of naturalness bias on phonological variation.
The latest LDL research article titled “What ratings and corpus data reveal about the vividness of Mandarin ABB words” has been published in the journal Language and Cognition. This research was conducted by members of our laboratory, Thomas (currently at KU Leuven), Xiaoyu, Youngah, in collaboration with PAN Tung-le from National Taiwan University.
The goal of this study was to understand the vividness of Mandarin ABB words. ABB words are a type of phrasal compound in Mandarin, consisting of a prosaic syllable A and a reduplicated BB part, resulting in a vivid phrasal compound.
The researchers collected subjective ratings regarding familiarity, iconicity, imagery/imageability, concreteness, sensory experience rating (SER), valence, and arousal for Mandarin ABB words. They contrasted these ratings with two other sets of prosaic word ratings to understand the distinctive role of variables that characterize ABB words.
The findings revealed that the variable that characterizes ABB items consistently throughout these case studies is their high score for imageability, showing that they are indeed rightfully characterized as vivid. The study also demonstrated the importance of contrasting rating data with other comparable datasets of a different phenomenon or data about the same phenomenon compiled in an ontologically different manner.
Van Hoey, T., Yu, X., Pan, T.-L., & Do, Y. (2024). What ratings and corpus data reveal about the vividness of Mandarin ABB words. Language and Cognition, 1–23. open_in_newDOI
Student Research Assistants from the University of Hong Kong’s Language Development Lab immerse themselves in the world of Deaf and Hearing artists at the Point Line Mean Exhibition.
As part of the Knowledge Exchange project on Hong Kong Sign Language, our Student Research Assistants (SRAs), Hannah, Kevin, Rachel, and Joanna, serve as docents in the “Point Line Mean” exhibition currently underway at Hart Haus in Kennedy Town.
This unique exhibit explores communication and understanding across divides, particularly between the Deaf and hearing worlds. It features the works of six Hong Kong-based artists, including two familiar faces within LDL: KK, who has served as our Hong Kong Sign Language Consultant, and Arthur (何明偉), a postdoctoral researcher at our lab.
Two of the exhibits were even produced within the Department of Linguistics’ Fieldwork Room, highlighting the close collaboration between the artists and the university.
A dedicated team of SRAs – Hannah, Kevin, Rachel, and Joanna – took on the role of docents for the exhibition. To prepare for this exciting task, they familiarized themselves with the artwork and the messages conveyed by the artists. This involved not only understanding the pieces themselves but also learning about Deaf culture and the intricacies of Hong Kong Sign Language.
Equipped with this knowledge, the SRAs were able to effectively communicate with the artists throughout the exhibition, using both spoken and sign languages. This fostered a truly immersive experience for the SRAs, allowing them to become deeply involved with the Deaf community and its artistic expression.
The SRAs’ role extended to guiding visitors through the exhibition. By providing insightful explanations and fostering open discussions, they helped visitors gain a richer understanding of the artwork and the Deaf experience. This valuable contribution no doubt played a significant role in the success of the “Point Line Mean” exhibition.
The LDL is thrilled to have our SRAs play such a vital role in this important project. Their dedication and willingness to learn have not only enhanced their own knowledge and perspectives but have also enriched the experience for visitors to the exhibition.
HART Haus G/F (G/F, Cheung Hing Industrial Building, 12P Smithfield Road, Kennedy Town)
27 April 2024 (Sat)
5PM to 6PM
HART Haus 4/F (4/F, Cheung Hing Industrial Building, 12P Smithfield Road, Kennedy Town)
Xiaoyu and Youngah’s paper, “Perceptual and featural measures of Mandarin consonant similarity: Confusion matrices and phonological features dataset,” has recently been published in Data in Brief.
The paper presents a comprehensive dataset containing two types of similarity measures for 23 Mandarin consonant phonemes: perceptual and featural measures. The perceptual measures are derived from confusion matrices obtained through native speakers’ identification tasks in quiet and noise-masked conditions. Based on these matrices, specific perceptual measures, such as confusion rate and perceptual distance, are calculated. Additionally, the authors propose a phonological feature system to evaluate the featural differences between each pair of consonants, providing insights into phonological similarity.
The dataset reveals a significant positive correlation between the perceptual and featural measures of similarity. Distance matrices are generated using the perceptual distance data, and a hierarchical cluster dendrogram is plotted using the unweighted pair group method with arithmetic mean (UPGMA). This dendrogram displays five major clusters of consonants.
This dataset can serve as a valuable reference for future studies seeking quantified perceptual measures of Mandarin consonant similarity. Additionally, it can be beneficial for research exploring consonant similarity in perceptual and phonological domains, as well as investigating the influence of linguistic and extralinguistic factors on consonant perception.
Yu, X., & Do, Y. (2024). Perceptual and featural measures of Mandarin consonant similarity: Confusion matrices and phonological features dataset. Data in Brief, 52, 109868. open_in_newDOI
Youngah presented at the 2023 Linguistics Colloquium organized by the Seoul National University.
Infants require two crucial skills to successfully begin language acquisition: (a) the ability to learn fundamental speech sound units, or phonemes, and (b) the capacity to decompose sound sequences into meaningful units. This talk will discuss the effectiveness of an autoencoder model in learning phonemes and phoneme boundaries from unsegmented, non-transcribed wave data, similar to the early stages of infant language acquisition. The experiment was conducted in Mandarin and English, and the results demonstrate that phonemes and their associated features can be learned through repeated projection and reconstruction without prior knowledge of segmentation. The model clusters segments of the same phoneme and projects different phonemes to separate regions in the hidden space. Furthermore, the model successfully decomposes words into phonemes in sequential order, which is a crucial foundation for phonotactic knowledge. However, the model struggles to cluster allophones closely, indicating the boundary between bottom-up and top-down information in phonological learning. This study suggests that fundamental sound knowledge in the early stages of language acquisition can be learned to some extent through unsupervised learning without labeled data or prior knowledge of segmentation, providing valuable insights into early human language acquisition.
Do, Y. (2023). Unsupervised learning of phonemes in early language acquisition: Insights from an autoencoder model. 2023 Linguistics Colloquium, Seoul National University.