<html><body><div style="color:#000; background-color:#fff; font-family:arial, helvetica, sans-serif;font-size:12pt"><div>Hi Andreas,</div><div> Can you (or the group) tell me if srilm could be used to query language models in such a way as to 'narrow down' the search for a "partially known word" where the context of its usage is known. By "partially known" I mean hints such as word prefixes or endings are known. The "context of usage" is equivalent, I think, to stating that the likelihood of the hidden word is increased if it is preceded or followed by a given set of words associated with some topic. <br></div><div><br></div><div>So I would like to 'leverage' srilm and language model queries by using topic models to suggest some words associated with a certain topic.</div><div><br></div><div>For example, find the most likely words, that begin with "st", given a "context set" (suggested by some 'sociology' topic model) containing the words
"neighborhood, behavior, customs, environment".</div><div><br></div><div>Does that make sense? Do you think srilm could be used to execute a query like that?</div><div><br></div><div>Thanks,</div><div>John Day</div><div>Palm Bay, Florida</div></div></body></html>