acl-org / acl-org/acl-anthology

Ingestion Request: CONVERGENCE 2026

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描述

### 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

CONVERGENCE

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

_No response_

### Volume Title

Proceedings of the 2026 Convergence Conference on Human-AI Integration for Multilingual and Accessible Communication

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

The Convergence conference

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

https://www.surrey.ac.uk/centre-translation-studies/convergence-conferences

### Date of Publication

2026-10-02

### Location

Guilford, UK

### Supporting Information

This is the second edition of the Convergence conference which provides an opportunity to bring together innovative research on the evolving landscape of AI in the context of multilingual and accessible communication, reflecting on the complexity and effects of using AI-driven technologies in these fields. For the second edition of conference, we are inviting submission of full papers and we are planning to publish conference proceedings. We believe the ACL anthology would be an ideal venue to disseminate the papers as the conference will focus on themes such as the ethical aspects of AI in translation and interpreting, AI-enabled digital accessibility and societal inclusion, and the impact of Generative AI on language mediation. More detail can be found at https://www.surrey.ac.uk/centre-translation-studies/convergence-2026

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调研方向

Start by reading the linked Information for Submitters and the conference website to verify the venue details and publication date. Then locate the repository's ingestion workflow for new venues; this request names no file or test. Done means the CONVERGENCE venue and its 2026 proceedings are accepted into the ACL Anthology according to that workflow.

由索引模型根据 Issue 内容生成。

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45/100

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