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Rule-based Approach to Tackle Agreement and Word- Ordering in English-arabic Machine Translation
| Content Provider | Semantic Scholar |
|---|---|
| Author | Shquier, Mohammed M. Abu Nabhan, Mohammad Al |
| Copyright Year | 2010 |
| Abstract | Machine Translation has been defined as the process that utilizes computer software to translate text from one natural language to another. This definition involves accounting for the grammatical structure of each language and using rules and grammars to transfer the grammatical structure of the source language (SL) into the target language (TL). This paper presents an English to Arabic approach for translating well-structured English sentences into well-structured Arabic sentences, using a Grammar-based technique to handle the problems of ordering and agreement. The proposed methodology is flexible and scalable, the main advantages are: first, it is a rule-based approach, and second, it can be applied on some other languages with minor modifications. Apple Pie Parser (APP) has been developed using the C language, validation rules have been applied in both the database design and the programming code in order to ensure the integrity of data. A major design goal of this system is that it will be used as a stand-alone tool, and can be very well integrated with a general machine translation system for English sentences. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://emcis.eu/Emcis_archive/EMCIS/EMCIS2010/Proceedings/Accepted%20Refereed%20Papers/C43.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
