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.

No file, test, or script is named in the issue; it only provides complete metadata for a new venue (`hht`). Start by finding where this repository stores prior accepted venue entries, then add HHT 2026 using the provided identifier, title, date, location, and URL in the same format. Done means the new venue is present in the normal venue index/output and reflects all fields in this request.

Written by the indexing model from the issue text.