论文标题
单调的且重量推动，代表概率模型
Composition and Weight Pushing of Monotonic Subsequential Failure Transducers Representing Probabilistic Models
论文作者
论文摘要
我们提出了一种与随后的失效传感器（代表概率模型）组成的结构（代表有条件的概率模型）。在某些条件下，通过相应的转导设备满足，适用于避免创建不必要状态的更有效的结构。此外，可以通过重量推动$ \ langle \ mathbb {r} _+，+，\ times，0，1 \ rangle $和$ \ langle \ langle \ mathbb {rangbb {rangbb {r} _+，max，\ max，\ max，\ max，0 \ $ \ ung，可以有效地通过重新分配产生的失效传感器的权重有效地重新分布。
We present a construction for the composition of subsequential transducers (representing conditional probabilistic models) with subsequential failure transducers (representing probabilistic models). Under certain conditions, satisfied by the corresponding transduction devices, a more efficient construction is applicable that avoids the creation of unnecessary states. Furthermore, the weights of the resulting failure transducers can be efficiently redistributed via weight pushing in the $\langle \mathbb{R}_+, +, \times, 0, 1 \rangle$ and $\langle \mathbb{R}_+, \max, \times, 0, 1 \rangle$ semirings.
