منابع مشابه
Machine Transliteration
In the present study, we present different approaches for transliteration proper noun pair’s extraction from parallel corpora based on different similarity measures between the English and Romanized Arabic proper nouns under consideration. The strength of our new system is that it works well for low-frequency words. We evaluate the presented new approaches using an EnglishArabic parallel corpus...
متن کاملMachine Transliteration
It is challenging to translate names and technical terms across languages with different alphabets and sound inventories. These items are commonly transliterated, i.e., replaced with approximate phonetic equivalents. For example, "computer" in English comes out as "konpyuutaa" in Japanese. Translating such items from Japanese back to English is even more challenging, and of practical interest, ...
متن کاملPhrase-based Machine Transliteration
This paper presents a technique for transliteration based directly on techniques developed for phrase-based statistical machine translation. The focus of our work is in providing a transliteration system that could be used to translate unknown words in a speech-to-speech machine translation system. Therefore the system must be able to generate arbitrary sequence of characters in the target lang...
متن کاملPunjabi Machine Transliteration
Machine Transliteration is to transcribe a word written in a script with approximate phonetic equivalence in another language. It is useful for machine translation, cross-lingual information retrieval, multilingual text and speech processing. Punjabi Machine Transliteration (PMT) is a special case of machine transliteration and is a process of converting a word from Shahmukhi (based on Arabic s...
متن کاملNeural Machine Transliteration: Preliminary Results
Machine transliteration is the process of automatically transforming the script of a word from a source language to a target language, while preserving pronunciation. Sequence to sequence learning has recently emerged as a new paradigm in supervised learning. In this paper a character-based encoder-decoder model has been proposed that consists of two Recurrent Neural Networks. The encoder is a ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: ACM Transactions on Asian Language Information Processing
سال: 2010
ISSN: 1530-0226,1558-3430
DOI: 10.1145/1838751.1838752