English to Arabic example-based machine translation system

Abstract EN

The Example Based Machine Translation (EBMT) system retrieves similar examples (pairs of source phrases, sentences, or texts and their translations) from a database of examples, adapting the examples to translate new input.

The Example Base (EB) is an important component in an EBMT system.

It handles the storage to support the translation process.

Thus, an efficient EB must be capable of handling a massive volume of examples at an adequately high speed.

In this research, a new approach to reduce the redundancy problem that some EBMT systems suffer from is suggested by designing EB using B+ tree.

The EB is used to store the examples of a particular field in a manner that reduces the redundancy of these examples (or even sub examples) in order to provide efficient memory usage and to minimize the search time.

The lexicon of the proposed method is represented by using two databases.

One database is used for storing the English words and another database is used for storing the English transfer grammars.