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The theoretical construct adopted in this study is based on the Framework for Evaluation of MT in ISLE (FEMTI, 2003) which is the most recent and comprehensive model of evaluation.The evaluation, constitutes a standard test bed application of this methodology (i.e., task-oriented testing and benchmark testing).The overall comparison of the three systems in terms of quality assessment of both criteria and texts level confirm that English-into-Arabic MT systems suffer from serious drawbacks especially related to the grammar and meanings of the translated sentence.
The evaluation deals with selected quality characteristics and various text types.
This is to bear on their ability and extent to satisfy specific requirements and help users to fulfill their tasks.
In essence, we must somehow convert our textual data into a numeric form.
To do this in machine translation, each word is transformed into a One Hot Encoding vector which can then be inputted into the model.
Before diving into the Encoder Decoder structure that is oftentimes used as the algorithm in the above figure, we first must understand how we overcome a large hurdle in any machine translation task.
Namely, we need a way to transform sentences into a data format that can be inputted into a machine learning model.
Arab World English Journal(October 2012) Theses / Dissertation Abstract PDFFull Paper PDF Evaluation of Machine Translation Systems: The Translation Quality of Three Arabic Systems Name of researcher : Yasmin Hikmet Abdul Hamid Hannouna Title of the thesis/dissertation: Subject/major: Linguistics & Translation University name, department name: Dept.
of Translation, College of Arts, Al Mustansiriyyah University, Iraq Year of award: 2004 Abstract: Evaluation is an implicit aspect of all human activity.
The proposed model for the functional criteria is a black-box type, comparative and adequacy-oriented evaluation.
As for the non-functional criteria, the evaluation model is said to be the comparative performance and adequacy-oriented type.