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Using linguistic knowledge in statistical machine translation ; Using linguistic knowledge in SMT
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Using Linguistic Knowledge in Statistical Machine Translation
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In: DTIC (2010)
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Improved morphological decomposition for Arabic broadcast news transcription
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In: IEEE (2009)
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Abstract:
In this paper, we show the progress for Arabic speech recognition by incorporating contextual information into the process of morphological decomposition. The new approach achieves lower out-of-vocabulary and word error rates when compared to our previous work, in which the morphological decomposition relies on word-level information only. We also describe how the vocalization procedure is improved to produce pronunciations for some dialect Arabic words. By using the new approach, we reduced the word error by 0.8% absolute (4.7% relative) when compared to the baseline approach. ; United States. Defense Advanced Research Projects Agency (DARPA). GALE program (Contract No. HR0011-06-C-0022)
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URL: http://hdl.handle.net/1721.1/60032
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