QCRI Machine Translation Systems for IWSLT 16
Table 4: Bigger Language Model
['[BOLD] System', '[BOLD] ted-11', '[BOLD] ted-12', '[BOLD] ted-13', '[BOLD] ted-14', '[BOLD] Avg']
A Kneser-Ney smoothed 5-gram language model was trained on each sub-corpus individually and then interpolated to minimize perplexity on the target part of the monolingual data. We were able to obtain a gain of +0.5 using bigger language model.