The results presented in Table 4 indicate that SLBD demonstrates much stronger performance, primarily because these other methods were developed with a focus on SMT, which causes them to preferentially decrease the perplexity of the subsequent SMT steps rather than producing a highly accurate segmentation.
we perform a force decoding for the sentence tuple <w N +1 1 , e I 1 > and obtain the set of decoding paths P(w N +1 1 ), where each element acts as a decoding path that can translate w N +1 1 into e I 1 .