AGHAZ: An Expert System Based approach for the Translation of English to Urdu
نویسندگان
چکیده
–Machine Translation (MT ) of English text to its Urdu equivalent is a difficult challenge. Lot of attempts has been made, but a few limited solutions are provided till now. We present a direct approach, using an expert system to translate English text into its equivalent Urdu, using The Unicode Standard, Version 4.0 (ISBN 0-321-18578-1) Range: 0600–06FF. The expert system works with a knowledge base that contains grammatical patterns of English and Urdu, as well as a tense and gender-aware dictionary of Urdu words (with their English equivalents). Keywords—Machine Translation, Multiword Expressions, Urdu language processing, POS Tagging for Urdu, Expert Systems.
منابع مشابه
Microsoft Word - Finding More Non-supersingular Elliptic Curves for Pairing..
Machine Translation, (hereafter in this document referred to as the "MT") faces a lot of complex problems from its origination. Extracting multiword expressions is also one of the complex problems in MT. Finding multiword expressions during translating a sentence from English into Urdu, through existing solutions, takes a lot of time and occupies system resources. We have designed a simple rela...
متن کاملInteractive English to Urdu Machine Translation using Example-Based Approach
This work is first attempt towards English to Urdu Machine Translation (MT) using example based approach. We have developed an interactive MT system to facilitate the user to customize the translation to his needs, thereby improving the performance of the translation. Our MT system supports idioms, homographs, and some other features in addition to the ability of the bilingual corpus to evolve....
متن کاملWord-Order Issues in English-to-Urdu Statistical Machine Translation
We investigate phrase-based statistical machine translation between English and Urdu, two Indo-European languages that differ significantly in their word-order preferences. Reordering of words and phrases is thus a necessary part of the translation process. While local reordering is modeled nicely by phrase-based systems, long-distance reordering is known to be a hard problem. We perform experi...
متن کاملA Hybrid Machine Translation System Based on a Monotone Decoder
In this paper, a hybrid Machine Translation (MT) system is proposed by combining the result of a rule-based machine translation (RBMT) system with a statistical approach. The RBMT uses a set of linguistic rules for translation, which leads to better translation results in terms of word ordering and syntactic structure. On the other hand, SMT works better in lexical choice. Therefore, in our sys...
متن کاملTranslation Strategies in English to Persian Translation of Children's Literature based on Klingberg's Model
This research sought to identify the translation strategies adopted by the translator in Persian translation of 'whatever after, Fairest of all' written by 'Sarah Mlynowski' based on Klingberg's model (1986). To achieve the objectives of the study, a qualitative content analysis design was selected for it. The corpus of the study consisted of 60 pages of the novel 'whatever after, Fairest of al...
متن کامل