Category: Lab News

News from the Language Development Lab.

“Substantive Bias in Artificial Phonology Learning” published on Lang. Linguist. Compass

Post author By LDL
Post date 2024-12-17

Artistic impression of the study. (AI-generated artwork)

We are pleased to announce the publication of a review article by Ivy and Youngah, in Language and Linguistics Compass. The article, titled “Substantive Bias in Artificial Phonology Learning,” provides a comprehensive review of the research on substantive bias in phonological learning since the influential 2012 paper by Moreton and Pater.

The review categorizes studies into vowel, consonant, and suprasegmental patterns, highlighting advancements in experimental paradigms, the definition of phonetic naturalness, and the exploration of various phonological phenomena. It emphasizes how subtle methodological choices in experimental designs can affect the results of substantive bias.

Key findings from the review include:

Vowel Patterns: Studies on vowel harmony have consistently developed more sophisticated paradigms, highlighting the role of naturalness in learning. The review showed how different training parameters (variable input, iterative learning) influence the effect of substantive bias.
Consonant Patterns: Research in this domain has explored various phonological phenomena, including nasalization, voicing, and saltatory alternations, suggesting the importance of considering phonetic precursor strength and the roles of articulatory and perceptual factors when assessing substantive bias effects.
Suprasegmental Patterns: Studies on tone and stress patterns have consistently shown a positive effect of substantive bias, differing from segmental patterns. The review suggests that these differences might be related to the learnability of the phonological patterns.

Based on their review, Ivy and Youngah suggest that future research should include:

An examination of the articulatory and perceptual foundations of each phonological pattern
An analysis of the similarities in features, articulation, and perception

The paper not only summarizes current findings but also provides important guidance for future research in phonological learning, particularly in the area of substantive bias.

Zheng, S., & Do, Y. (2025). Substantive Bias in Artificial Phonology Learning. Language and Linguistics Compass, 19(1), e70005. open_in_newDOI

Tags phonology, substantive bias

Lab News

A Voice for the Deaf (HKU Bulletin 2024-11 26.1)

Post author By LDL
Post date 2024-11-19

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/.

Lab News

Learners’ generalization of alternation patterns from ambiguous data @ AMP2024 Rutgers

Post author By LDL
Post date 2024-11-04

Ivy, together with Bingzi (left), presents at AMP2024 at Rutgers University.

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.

Knowledge Exchange 2023 (Hong Kong Sign Language) Lab News

Hong Kong Sign Language project featured on this month’s HKU Impact

Post author By LDL
Post date 2024-07-31

Our Hong Kong Sign Language project is featured in this month’s HKU Impact. Read more here:

https://www.ke.hku.hk/enews/202407/

https://www.ke.hku.hk/story/sign-language

Lab News

LDL Wins Faculty Knowledge Exchange Award!

Post author By LDL
Post date 2024-07-10

HKSL Consultant Fung Sir introduces our research to the Deaf.

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:

Technological Advancement: Developed a HKSL detection model, laying the groundwork for future sign language detection systems.
Educational Impact: Fostered new hearing HKSL users through an inclusive HKSL curriculum for hearing students in collaboration with Deaf educators.
Social Impact: Created a comprehensive video archive of HKSL signs, combining naturalistic and structured data.
Cultural Impact: Supported the production of a documentary film, “Bridge of Signs,” exploring the experiences of the Deaf community and the vital role of HKSL in Deaf identity.
Welfare Impact: HKSL-trained volunteers provided essential first aid services at Deaf community sporting events.

Overall, this project has made significant strides in:

Documenting HKSL and its unique visual characteristics
Preserving HKSL and the intangible Deaf culture
Facilitating HKSL learning for hearing students
Promoting a sense of ownership and legitimacy of HKSL within the Deaf community
Bridging the communication gap between the Deaf and hearing communities

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

Project team members

(In no particular order)

Dr Youngah DO
Dr Arthur THOMPSON
Dr Robert Marcelo SEVILLA
Wing Cheung Aaron CHIK
Lihui Frank TAN
Shuang ZHENG
Chuwen Joanna CHEN
Fei Peng Kevin CHEN
Pui Ching Rachel CHEN
Yu Hei Hannah CHUNG
Clarissa KI
Xin Olivia LIANG
Chui Yin Judy NG
Yu On Mavies NGAI
Wing Tsun Jeff YIP

Collaboration

The Department of Linguistics at HKU has collaborated with the following parties for this project (in no particular order):

Professional Sign Language Training Centre
Point Line Mean!
HART HAUS
Hong Kong Arts Development Council
Hong Kong, China Sports Association of the Deaf
Hong Kong St John Ambulance

Tags Accessibility, Community outreach, Deaf culture, Digital literacy, HKSL, Hong Kong Sign Language, Inclusivity, Knowledge Exchange Award, Language documentation, Sign language

Lab News Publication

“Tracking phonological regularities” published on Linguistics Vanguard

Post author By LDL
Post date 2024-07-05

Impressionistic illustration of the experiment scenario in the paper, where participants would encounter alien societies on two planets and have to learn their language. (AI-generated artwork)

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

Lab News

Presenting at LabPhon19 @ Seoul

Post author By LDL
Post date 2024-07-04

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.

Xiaoyu and Youngah explains the poster presentation “The acquisition, contact, and transmission of phonological variation”.

Poster Presentations

Phonetic substance in alternation learning: This study by Ivy and Youngah investigated how learners acquire grammatical and sound patterns in different domains. The results suggest that while both domains involve structural complexity and naturalness as learning biases, these biases play a stronger role in phonological learning, particularly when the target pattern is complex and unnatural.
Syllable-based or Word-based? Representation of tones undergoing merger in Hakka: Ming and Jon explored how native speakers of Wangmudu Hakka represent tones in their minds. Their findings suggest that for tones undergoing merger, speakers rely on word-level representations rather than syllable-level or generalized sandhi rules.
The acquisition, contact, and transmission of phonological variation: Xiaoyu, Samuel, Thomas, Bingzi, Frank, Stephen, Wayne and Youngah examined how biases influence phonological variation learning in different language learning contexts. Their results suggest that a bias towards phonetically natural patterns guides learning in acquisition and contact situations, but not necessarily during language transmission.

Corpus Workshop Presentation

Attention-LSTM Autoencoder for Phonotactics Learning from Raw Audio Input: Frank and Youngah presented a study on how a neural network model can learn phonotactic knowledge from raw audio data. Their model, designed to mimic early stages of infant language learning, successfully captured the influence of surrounding sounds on the pronunciation of stops following a sibilant fricative in English.

Frank, Xiaoyu, Ivy, Youngah, Jon and Ming enjoying a meal in Seoul.

Tags Cognitive Science, Computational Linguistics, LabPhon19, Language Acquisition, Neural Networks, phonology, Speech Processing

Lab News Publication

“Vividness of Mandarin ABB Words”: LangCog

Post author By LDL
Post date 2024-04-24

Mandarin duck duck. (AI-generated artwork)

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

Tags ABB, corpus, iconicity, ideophone, imagery, norms, ratings

Knowledge Exchange 2023 (Hong Kong Sign Language) Lab News

LDL Student RAs Foster Cross-Cultural Communication at “Point Line Mean” Exhibition

Post author By LDL
Post date 2024-04-10

Rachel (SRA) translates as Nora FONG BAO, one of the artists of Point Line Mean, respond to patrons' questions.

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.

Facade of Hart Haus with Point Line Mean on exhibit.

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.

SRAs Become Docents and Bridge the Gap

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.

Guiding Visitors Towards a Deeper Understanding

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.

Point Line Mean

HART Haus G/F (G/F, Cheung Hing Industrial Building, 12P Smithfield Road, Kennedy Town)

Details for visitors

Bridge of Signs documentary Special Screening

27 April 2024 (Sat)
5PM to 6PM
HART Haus 4/F (4/F, Cheung Hing Industrial Building, 12P Smithfield Road, Kennedy Town)

Lab News Publication

“Perceptual and featural measures of Mandarin consonant similarity” published on Data in Brief

Post author By LDL
Post date 2023-12-08

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