@inproceedings{seligman-dillinger-2012-spoken,
title = "Spoken Language Translation: Three Business Opportunities",
author = "Seligman, Mark and
Dillinger, Mike",
booktitle = "Proceedings of the 10th Conference of the Association for Machine Translation in the Americas: Commercial MT User Program",
month = oct # " 28-" # nov # " 1",
year = "2012",
address = "San Diego, California, USA",
publisher = "Association for Machine Translation in the Americas",
url = "https://preview.aclanthology.org/Ingest-2025-COMPUTEL/2012.amta-commercial.16/",
abstract = "This paper reports on three business opportunities encountered by Spoken Translation, Inc., a developer of software systems for automatic spoken translation: (1) a healthcare organization needing improved communications between limited-English patients and their caregivers; (2) a networking and communications firm aiming to add UN-style simultaneous interpreting to their telepresence facilities; and (3) the retail arm of a device manufacturer hoping to enable more effective in-store consulting for customers with imperfect command of an outlet`s native language. None of these openings has yet led to substantial business, but one remains in negotiation. We describe how the business introductions came to us; the proposed use cases; demonstrations, presentations, tests, etc.; and issues/challenges. We also comment on early consumer-oriented products for spoken language translation. The aim is to provide a snapshot of one company`s business possibilities and challenges at the dawn of the era of automatic interpreting."
}
Markdown (Informal)
[Spoken Language Translation: Three Business Opportunities](https://preview.aclanthology.org/Ingest-2025-COMPUTEL/2012.amta-commercial.16/) (Seligman & Dillinger, AMTA 2012)
ACL
- Mark Seligman and Mike Dillinger. 2012. Spoken Language Translation: Three Business Opportunities. In Proceedings of the 10th Conference of the Association for Machine Translation in the Americas: Commercial MT User Program, San Diego, California, USA. Association for Machine Translation in the Americas.