@hackage detrospector0.2

The detrospector program generates random text conforming to the general style and diction of a given source document. It associates each k-character substring of the source document with a probability distribution for the next character. These distributions are used to iteratively pick new characters for output. In other words, it samples a Markov chain derived from the source document.

Run detrospector -? for usage information. The program has several modes. It can generate random text, or invent individual random words which are not found in a dictionary. These modes require a chain file, which is built from a source document in another mode.

Design goals include speed and full Unicode support. I welcome suggestions and patches regarding any aspect of this program.

New in version 0.2:

• Use the unordered-containers library instead of hashmap. Also fixes a build failure.

• Accept -h for help, in addition to -?.

• Added public GitHub repository.