Title :
Language Model Adaptation in Machine Translation from Speech
Author :
Bulyko, Ivan ; Matsoukas, Spyros ; Schwartz, R. ; Nguyen, L. ; Makhoul, John
Author_Institution :
BBN Technol., Cambridge, MA, USA
Abstract :
This paper investigates the use of several language model adaptation techniques applied to the task of machine translation from Arabic broadcast speech. Unsupervised and discriminative approaches slightly outperform the traditional perplexity-based optimization technique. Language model adaptation, when used for n-best rescoring, improves machine translation performance by 0.3-0.4 BLEU and reduces translation edit rate (TER) by 0.2-0.5% compared to an unadapted LM.
Keywords :
language translation; natural language processing; speech processing; Arabic broadcast speech; discriminative approaches; language model adaptation; machine translation; n-best rescoring; unsupervised approach; Adaptation model; Broadcast technology; Broadcasting; Decoding; Interpolation; Natural languages; Power measurement; Power system modeling; Speech recognition; Testing; Speech translation; domain adaptation; language modeling;
Conference_Titel :
Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference on
Conference_Location :
Honolulu, HI
Print_ISBN :
1-4244-0727-3
DOI :
10.1109/ICASSP.2007.367177
