NLization of adjectives conjunctions determiners and verbs with EUGENE

Abstract

In 21st century, information and information access is a key to building prosperity and economic wealth. This is true not only in the world at large, for countries that wish to build knowledge-based economies, but is also true increasingly for enterprises involved in building global businesses. It is useful to look more closely at the forces that are driving the change as it helps us to understand where these forces are leading and also better understand the impact on the business of professional translation. Access to knowledge is one of the keys to economic prosperity. Automated translation is one of those technologies that offer a way to reduce the digital divide and raise living standards across the world. So, in this age, Machine Translation has been an area of immense interest in Natural Language Processing domain among the researchers. Further, the most challenging task is design a system for multi-lingual machine translation environment, where large number of languages are to be translated between one-another. So, instead of following Statistical approach, an Interlingua based approach for MT is more preferable in multi-lingual machine translation environment. UNL system designed and implemented by UNDL Foundation, in Geneva, Switzerland, is an internationally standardized interlingua. The UNL is an effort to achieve a simple basis for representing the most central aspects of information and meaning in a humanlanguage- independent form. As a knowledge representation language, the UNL aims at coding, storing, disseminating and retrieving information independently of the original language in which it was expressed. UNL approach comprises two basic different movements: UNLization and NLization. UNLization is the process of representing/mapping/analysing the information conveyed by natural language utterances into UNL; NLization, conversely, is the process of realizing/manifesting/generating a natural language document out of a UNL graph. These processes are completely independent. The project work that has been carried out in the thesis is focused on implementation of NLization framework. EUGENE tool is a freeware online tool, provided by UNDL Foundation, which has been used for implementing NLization framework for generating Punjabi natural language from UNL expression. Implementation of NLization for iv adjectives, conjunctions, determiners and verbs, in Punjabi using EUGENE has been elaborated with three examples (easy, medium and tough levels) in each case. At the end F-measure, which is verification mechanism for measuring the correctness of the resulting NL output, has been calculated for generated sentences.