Dudley North visits North London: Learning When to Transliterate to Arabic
نویسندگان
چکیده
We report the results of our work on automating the transliteration decision of named entities for English to Arabic machine translation. We construct a classification-based framework to automate this decision, evaluate our classifier both in the limited news and the diverse Wikipedia domains, and achieve promising accuracy. Moreover, we demonstrate a reduction of translation error and an improvement in the performance of an English-to-Arabic machine translation system.
منابع مشابه
Name Translation in Statistical Machine Translation - Learning When to Transliterate
We present a method to transliterate names in the framework of end-to-end statistical machine translation. The system is trained to learn when to transliterate. For Arabic to English MT, we developed and trained a transliterator on a bitext of 7 million sentences and Google’s English terabyte ngrams and achieved better name translation accuracy than 3 out of 4 professional translators. The pape...
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