منابع مشابه
Discriminative Methods for Transliteration
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We present a novel approach to integrate transliteration into Hindi-to-Urdu statistical machine translation. We propose two probabilistic models, based on conditional and joint probability formulations, that are novel solutions to the problem. Our models consider both transliteration and translation when translating a particular Hindi word given the context whereas in previous work transliterat...
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We present a Hebrew to English transliteration method in the context of a machine translation system. Our method uses machine learning to determine which terms are to be transliterated rather than translated. The training corpus for this purpose includes only positive examples, acquired semi-automatically. Our classifier reduces more than 38% of the errors made by a baseline method. The identif...
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The system presented in this paper uses phrase-based statistical machine translation (SMT) techniques to directly transliterate between all language pairs in this shared task. The technique makes no language specific assumptions, uses no dictionaries or explicit phonetic information. The translation process transforms sequences of tokens in the source language directly into to sequences of toke...
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Automata theory, transliteration, and machine translation (MT) have an interesting and intertwined history. Finite-state string automata theory became a powerful tool for speech and language after the introduction of the AT&T’s FSM software. For example, string transducers can convert between word sequences and phoneme sequences, or between phoneme sequences and acoustic sequences; furthermore,...
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ژورنال
عنوان ژورنال: International Journal on Integrated Education
سال: 2019
ISSN: 2620-3502,2615-3785
DOI: 10.31149/ijie.v2i6.211