The 1st Conference on Hakka Humanities and Technology (HHT 2026)

### General information about this request

- [x] I confirm that I have read the [Information for Submitters](https://aclanthology.org/info/contrib/).
- [x] I am submitting a request for a **new venue** that does not exist in the ACL Anthology yet.

### Venue Identifier

hht

### ACL SIG(s) sponsoring or endorsing the whole venue

_No response_

### Volume Title

Proceedings of the 1st Conference on Hakka Humanities and Technology (HHT 2026)

### Venue Name (only if you are submitting a new venue)

Conference on Hakka Humanities and Technology

### Venue Website (only if you are submitting a new venue)

https://hakkaailab.github.io/twaihakka2026/

### Date of Publication

2026-11-24

### Location

Miaoli, Taiwan

### Submission Platform(s)

- [ ] OpenReview (proceedings compiled with [aclpub2](https://github.com/rycolab/aclpub2/))
- [ ] Softconf/START (export the proceedings in ACLPUB format; no need to convert with aclpub2)
- [x] Other (explain)

### ORCID iDs

- [x] We will instruct authors to supply ORCID information in their profiles in the submission platform ([instructions](https://aclanthology.org/info/author-pages/)). (Not necessary for historical volumes.)

### Delivery Method

- [ ] Private Github repo (preferred)
- [ ] wget-able web link (HTTP, FTP)
- [x] Proprietary file sharing service (Google Drive or Dropbox)

### Supporting Information

The 1st Conference on Hakka Humanities and Technology (HHT 2026) is a new interdisciplinary academic venue focusing on the application of artificial intelligence and language technologies to Hakka and other low-resource languages.

The conference aims to provide a platform for interdisciplinary research and collaboration across natural language processing, speech and language technology, artificial intelligence, digital humanities, education, and Hakka studies. In particular, HHT 2026 emphasizes research on low-resource language technologies and their applications to language preservation, learning, cultural communication, and digital archiving.

Relevant topics include Hakka language technologies, low-resource NLP, corpus construction, large language models (LLMs), automatic speech recognition (ASR), text-to-speech synthesis (TTS), Mandarin–Hakka and Hakka–Mandarin machine translation, retrieval-augmented generation (RAG and GraphRAG), generative AI, AI-assisted language learning, digital cultural archives, information visualization, AI ethics, and data licensing.

Through peer-reviewed research contributions and interdisciplinary exchange, HHT 2026 seeks to advance computational approaches to Hakka and other low-resource languages while promoting sustainable development and innovative applications of language technology.