NAME

AI::FreeHAL::Engine - Engine of FreeHAL, a self-learning conversation simulator which uses semantic nets to organize its knowledge.

SYNOPSIS

runner.pl shell

DESCRIPTION

FreeHAL is a self-learning conversation simulator which uses semantic nets to organize its knowledge.

FreeHAL uses a semantic network, pattern matching, stemmers, part of speech databases, part of speech taggers, and Hidden Markov Models, in order to imitate a very close human behavior within conversations. Online- as Download-Versions are supporting the synthesing of the speech. Through communicating (via keyboard) the program enhances his knowledge-database. It supports the languages German and English.

In opposite to the most free and commercial chatbots FreeHAL learns self-reliant conception of causal relations on its own.

FreeHAL runs on Microsoft Windows, GNU/Linux, Unix, BSD and Mac and is licensed under the GNU GPL v3.

This package contains:

1. AI::Util =item 2. AI::SemanticNetwork =item 3. AI::POS =item 4. AI::Selector =item 5. AI::FreeHAL::Module::Tagger

FUNCTIONS

build_builtin_table($language)

Returns a hash reference containing word <-> part of speech pairs.

$language is a language string, e.g. "en" or "de".

get_verb_conjugation_table()

Returns an array containing arrays of two words, e.g.:

[
  [ 'am', 'are' ]
]

is_verbose()

Returns a boolean whether FreeHAL should be verbose.

get_client_response( $CLIENT_ref )

Returns the next line sent from socket reference $CLIENT_ref.

load_pos()

Detect part of speech files (lang_XY/*.{brain,memory}) and load them.

ascii($sent)

Returns $sent without non-ascii characters.

try_use_lowlatency_mode()

Returns nothing.

First it checks whether low-latency mode is enabled. If success, $data->{abilities}->{'tagger'} is set to 2 and part-of-speech files are loaded.