Open AccessApplying Automated Language Translation at a Global Enterprise Level
Author(s) -
Rychtyckyj Nestor,
Plesco Craig
Publication year - 2013
Publication title -
ai magazine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.597
H-Index - 79
eISSN - 2371-9621
pISSN - 0738-4602
DOI - 10.1609/aimag.v34i1.2436
Subject(s) - machine translation , computer science , scope (computer science) , process (computing) , machine translation software usability , focus (optics) , corporation , natural language processing , artificial intelligence , translation (biology) , language industry , software engineering , natural language , programming language , example based machine translation , comprehension approach , business , finance , biochemistry , chemistry , physics , messenger rna , optics , gene
We have been utilizing natural language processing (NLP) and machine translation (MT) at Ford for more than 10 years for the automated translation of process build instructions from English to other languages in support of Ford's assembly plants in non‐English speaking countries. This project has continued to evolve with the addition of new languages and improvements to the translation process. However, we discovered that there was a large demand for automated language translation across all of Ford Motor Company and we decided to expand the scope of our project to address these requirements. This article will describe our efforts to meet all of Ford's internal translation requirements with AI and MT technology and focus on the challenges and lessons that we learned from applying advanced technology across an entire corporation.