-ppl textfile
Compute sentence scores (log probabilities) and perplexities from the sentences in textfile, which should contain one sentence per line. The -debug option controls the level of detail printed, even though output is to stdout (not stderr).

-debug 0
Only summary statistics for the entire corpus are printed, as well a partial statistics for each input portion delimited by escaped lines (see -escape). These statistics include the number of sentences, words, out-of-vocabulary words and zero-probability tokens in the input, as well as its total log probability and perplexity. Perplexity is given with two different normalizations: counting all input tokens (“ppl”) and excluding end-of-sentence tags (“ppl1”).
-debug 1
Statistics for individual sentences are printed.
-debug 2
Probabilities for each word, plus LM-dependent details about backoff used etc., are printed.
-debug 3
Probabilities for all words are summed in each context, and the sum is printed. If this differs significantly from 1, a warning message to stderr will be issued.

Input: S = (w1,w2,w3…wn)
Output: P(s)=P(w1)p(w2|w1)…(wn|wn-1)

thanks.

另外，既然想将你们自己的语言模型加入到srilm中，可以直接联系原作者——SRI实验室的Andreas Stolcke，我觉得找他更合适！

一行句话按照空格隔开吗？

另外：如果我想训练中文的语言模型，是不是也按照同样的格式给SRILM训练就可以了

以前没怎么用过，多谢帮忙！