David M. Zajic


Fixing paper assignments

  1. Please select all papers that belong to the same person.
  2. Indicate below which author they should be assigned to.
Provide a valid ORCID iD here. This will be used to match future papers to this author.
Provide the name of the school or the university where the author has received or will receive their highest degree (e.g., Ph.D. institution for researchers, or current affiliation for students). This will be used to form the new author page ID, if needed.

TODO: "submit" and "cancel" buttons here


1998

pdf bib
Lexicons as gold: mining, embellishment and reuse
Keith J. Miller | David M. Zajic
Proceedings of the Third Conference of the Association for Machine Translation in the Americas: Technical Papers

Given the high labor costs of developing new lexical resources for Machine Translation (MT) and language processing systems, it is desirable to make the most of those resources already in existence. This paper describes the work being carried out on two MT projects that share a common goal: the creation, maintenance and reuse of lexical information. This goal calls into play a range of tasks from dictionary mining of machine-readable dictionaries (MRDs) to the definition of a repository capable of housing this diverse lexical information. This paper outlines the two efforts, focusing on the problems encountered and the intermediate results achieved. While the ultimate goal of the automated processing of on-line resources into multi-purpose lexical repositories is far from being achieved, our experience has shown that there are significant applications that can make use of the partially processed information produced en route. We will describe our experience with two projects, with a focus on one which utilized multiple lexical resources to provide the basis for two natural language processing (NLP) tools: a segmenter and a glosser for Thai. Finally, we make recommendations for future resource development, with a view toward mitigating the difficulties of merging information from diverse sources.