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Multiple stream Language Models for Statistical Machine Translation

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Figure

Figure 2: Each stream . . . K 1gets its own stream-basedLM using the multiple LM approach.
Figure 3: Using decoding history all the streams are com-bined into a unified LM.
Table 3: EP results using in and out-of-domain streams.The last two rows show that naive combination gets poorresults compared to single stream approaches.
Table 4: Weighted LM interpolation results for the RCV1test points where E=Europarl, R=RCV1, and G=Gigaword (xie).
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