| Pinyin Input Method Model | The edge weight the negative logarithm of conditional probability P(Sj+1,k SM) that a syllable Sm- is followed by Sj+1,k, which is give by a bigram language model of pinyin syllables: |
| Pinyin Input Method Model | Similar to G8 , the edges are from one syllable to all syllables next to it and edge weights are the conditional probabilities between them. |
| Pinyin Input Method Model | Thus the conditional probability between characters does not make much sense. |
| Related Works | They solved the typo correction problem by decomposing the conditional probability P(H |P) of Chinese character sequence H given pinyin sequence P into a language model P(wi|wi_1) and a typing model The typing model that was estimated on real user input data was for typo correction. |
| A semantic span can include one or more eus. | Therefore, theoretically, the conditional probability of a target translation es conditioned on the source CSS-based tree ft is given by P(es | fl) , |
| A semantic span can include one or more eus. | The conditional probabilities of the new translation rules are calculated following (Chiang, 2005). |
| A semantic span can include one or more eus. | transfer model can be represented as a conditional probability : P(w | CSS) (4) By deriving each node of the CSS, we can obtain a factored formula: P(w I CSS) = Hm. |