Meeting the Challenge of Language Change in Text Retrieval with Machine Translation Techniques

Time Frame


Total Funding to Date


In order for older texts to be searchable, contemporary English needs to be translated into language from various historical timeframes. The project will develop software that will let people enter a query in contemporary English, and search over English texts throughout history—from Medieval times to the present day. The project will mostly involve training statistical models that assign probabilities of the translation to a word or phrase in a target English language. The project will also look at how to display results in order to provide the user with the most probable answer to the query.


Funding Agencies

  • Google, 2010 – $49,429.00