Lexical Ambiguity Resolution System For Standard Yorùbá Verbs
Journal Title: American journal of Engineering Research - Year 2018, Vol 7, Issue 6
Abstract
Machine Translation (MT) systems often face challenges in choosing appropriate translations for words in the source language. To resolve this problem, wordsense disambiguation systems depend on knowledge gained from different sources. The knowledge gained could be from external resources or corpora. Despite the importance of this knowledge sources, many world languages lack adequate training data required to undertake the task of resolving ambiguity that erupts when translating texts from one language to the other. Yorùbá language falls within this group. The objective of this study is to propose a method of resolving translation ambiguity in a Yorùbá to English MT system using limited resources. This research depends on a rule based method that utilizes the semantic feature of the predicate-object relation in Yorùbá sentences for the disambiguation. To evaluate the proposed method, twenty words with more than one possible English translation were tested on a Yoruba to English machine system. The result of the evaluation shows a precision of 85% and recall of 75%. This result shows that the use of selectional restriction is effective in resolving translation disambiguity in a Yorùbá-English machine translation system.
Authors and Affiliations
Adegoke-Elijah Adenike. , Odejobi Odetunji. A. , Salawu Akeem. S. \
Keywords
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