How to Build Eliza Chatterbot
A D V E R T I S E M E N T
This article teaches you how you can create your own Chatterbot, a program
that talks with human beings, just as we do. As you read this program, you will
explore that this program, which falls under the domain of Artificial
Intelligence, is nothing but manipulation of String and File Handling. This
article aims at giving you a direction. The outcome is not a perfect program,
but a minimal working skeleton. Rest you can do easily. There is practically NO
LIMIT to how much input you can give to this program, because once you say that
my Eliza is complete, I will find at least ONE question, that your Eliza will
not be able to answer ! Hope you will enjoy this. And, Please Vote ;-)
to Build Eliza Chatterbot
A Program that can Chat with Humans
Written by Amit
Mathur on 10th to 12th Dec, 2002
is Eliza ?
Eliza is an AI Program that
simulates the behavior of a therapist. The first program of this sort was
developed in 1967 in MIT. Such programs, which interact with user in simple
English language and can simulate a conversation are known as Chatterbot.
A program like Eliza requires
knowledge of three domains:
Natural Language Processing
Even though last two are
sub-parts of the first one, they are emerging as
science in themselves.
Eliza can not, of course,
think on its own. It has a repository or database of facts and rules, which are
searched to give the best possible response.
Eliza works by matching
process. Very rarely an entire
sentence is matched to give the response.
The rules are indexed by
keywords. Some rules require no keyword.
does it work ?
percent of what Eliza says is found in the associated Data File. This file acts
as Knowledge Base for the complete system.
in-built responses comprise the Static Database of the system. These are
the responses for the following cases:
When Eliza does not understand what the user is talking about.
When the user repeats himself.
When the user does not type anything and just keeps on pressing Enter.
For the greeting statements.
following strategy is used to respond to a request:
finds out if the user has given any null input. If so, it takes the fact from
the static database to respond.
2: There are
some in built responses that Eliza can recognize readily. It finds the presence
of any such sentence after fragmenting the userís input and remembers the
associated keyword. This keyword defines the Context of the talk.
3: If no
in-built sentence frame work is found, then the Eliza searches for the specific
keyword to define the context. If no context is found, it deliberately
motivates the user to speak about a specific topic.
response is chosen (at this time, randomly) from the database of available
necessary transpositions are done. For example, consider the following
I PLAN TO GO TO JAIPUR TOMORROW WITH MY WIFE.
AND WHAT HAPPENS IF YOU WON'T GO TO JAIPUR
WITH YOUR WIFE ?
word My has to be transposed to YOUR.
simulate the human conversationalists, Eliza simulates Typing and does so slowly
with making spelling mistakes and correcting them.
about Coding ?
us start the real coding portion. I am using Turbo C IDE 3.0 as this is
the IDE that most Indian Students use.
that the complete source code is in the Zip file that accompanies this file. But
my main stress is on approach and not on coding. The code, which is
written in just 90 minutes, is good as a working skeleton.
going into the detailed coding aspect, let us first see the structure of a
sample Data File. Eliza recognizes certain keywords. If these keywords are found
in the user input, then corresponding to that, from a predefined set of
responses, one is chosen and displayed.
is separated in the data file (called Dictionary) from the responses by @KWD@
token. This token indicates that the next line that follows is actually a
keyword, not a response.
HI, HOW ARE YOU
HELLO DEAR !
YOU WILL DO SO. I BELIEVE IT TOO...
WILL YOU BE ABLE TO DO SO ?
ARE YOU SURE ?
HOW CAN YOU BE SO SURE ?
YOU SEEM TO BE VERY OPTIMISTIC.
YOU SEEM TO BE VERY PESSIMISTIC.
NEVER SAY NO...
I KNOW HOW TO WORK ON COMPUTER.
YOU ARE CURRENTLY USING A COMPUTER. RIGHT ?
<< Add whatever you want in above format >>
of file : Eliza.dat
For example, in response to
'Hello', from the above dictionary, Eliza will give one of the following
HI, HOW ARE YOU
HELLO DEAR !
Once this thing is
clear, let us now define the Data Structures that we will be using. We create
two classes :
Let me give the code
first and then I will explain it.
void addword(char str[MAX_KWD_LEN])
char * getword()
void addresp(char str[MAX_RESP_LEN])
// defined later
void display_resp(int num);
void quit_display_resp(int num);
Data Structures Involved
character array userip is used to store the line typed by the user.
Another array keyword is used to store the keyword, if any, found in that
input. If a keyword is found, we make int keyfound to 1 else, it remains
0, as it is initialized to 0 in the Constructor. keyno stores the key
number of the corresponding keyword.
indicates whether the user has given any Null input ie, he is just pressing
enter and doing nothing else.
let us come to the second class, resp. The first data member, tot_resp
indicates the total number of responses for a given keyword. For example, for
Hello, we have 2 responses (see Eliza.Dat). So, for
that, tot_resp holds a value of 2. last_resp is used for the
function processing and its use will be clear later on.
replies are actually stored in replys[MAX_RESP_NO][MAX_RESP_LEN] and
the corresponding keyword is stored in the array word.
Description of Functions
in Class resp :
This is used to initialize the total number of responses to 0. Why
last_resp is initialized to -1 will be clear when you look at the function
This function is used to get a count of how many responses are there for
a given keyword.
This is used to add a keyword.
char * getword():
Used to return the keyword for a particular object of class resp.
This is used to add a response corresponding to a given keyword.
This is used to display the response to the user corresponding to a
given index number for the responses. (actually it does more than that
Difference between this function and above function is that it is used
in the end when the user is quitting. So, it does not return the prompt to
Let us now create a function
that reads the contents of file Eliza.Dat in an array of objects of class resp,
which we name keys. Since I have already explained both - the format of .Dat
file and data structures, this function should by clear with little or no
effort. The code is commented wherever necessary.
// the next line is a keyword
// it is a response
} // end of while
} // end of function
Contents of Eliza.Dat File
Now let us create a function
for global initialization of the transposition words. This function is easy and
I will not belabor it.
strcpy(wordin," I ");
Let us now write a function for displaying the
responses to the user. The first if statement in the for loop is used to make a
deliberate typing error to make it appear more human like ;-). One character is
randomly chosen for typing error. Special cases like New Line and Backspace are
separately considered. (Think why ?). Now I introduce something new. A special
character - *. Char * represents all of the text found AFTER the
identified keyword, and before one of the following punctuation marks.
For example, consider the user input
AMIT > CAN I GO TO INDORE TOMORROW ?
ELIZA > WHAT IF YOU DO NOT GO TO INDORE TOMORROW ?
The underlined portion is not stored in the dictionary, rather it is taken from
the user input. In the file Eliza.Dat, we store this information as
WHAT IF YOU DO NOT *
Star (*) asks the program to simply copy whatever is typed after the keyword
(here CAN I ) in the user input, as it is. I hope that now the function of * as
a special keyword is clear. So, let us consider a more complicated case.
AMIT > CAN I GO TO INDORE TOMORROW WITH MY FRIEND ?
ELIZA > WHAT IF YOU DO NOT GO TO INDORE TOMORROW WITH MY FRIEND?
Obviously this is not what we wanted. I am supposed to go with my friend, not
one of Eliza ! So, we must perform some transformation also. When we think of
transformation, the sentence gets divided in the following 3 sections:
Transposition Word. (here, GO TO INDORE TOMORROW WITH )
keyword. (here, YOUR, in place of MY)
Transposition Keyword. (here, FRIEND ? )
The following code tackles
the three cases in a very lucid manner.
void resp :: display_resp(int num)
cout<<"ELIZA > ";
// for deliberate typing errors
// (for simulating the human behavoir ;-)
if(c=='\n' || c=='\b' || c==13)
// correcting the deliberate typing error
// * is used to write anything after the //
// as it is, but with some transformatio // ns like
// converting MY to YOUR.< // br> if(replys[num][i]=='*')
char * s1=ip.userip+strlen(ip.keyword);
short int flag=0;
char * s2=wordin[m];
transposition word found in the
// user input
text before wordin[m]
the left overs
} // end of for
// if flag is still zero , this means no need
// transposing any word.
} // end of if
} // end of for
// giving the prompt back to user
for displaying Eliza's Response
Finally we can work out a
procedure for searching the keyword in the user's input. MAX_KEY indicates
the number of keywords in the DAT file. Here we are simply searching whether the
keyword exists in the user input (anywhere).
// getting the length of the keyword
// keyword found !
When all these routines are made, we integrate them in the main function. For
complete source code, please download the accompanying Zip file with the
other AI programs, this program also has immense possibilities of improvement.
following are the improvements, which can be made in it.
by Time or Experience can be Implemented.
the previous talking can be stored in a array of strings, so that in case of
user contradicting himself/herself, ELIZA can contradict him.
database or a flat file, at least, can be used for the data and talk
and User-Password Pairs can be established, so that, even after the
completion of one session, next time, whenever the user enters his User Name
and Password, ELIZA, will get all the relevant data and previous talks,
related to the user, from the database itself.
prospect for the cache Memory can be made, so as make the
retrieval of data and information can be faster. I
had written a Research Paper on this topic one year ago, Intelligent
Information Retriever - Inception of Artificial Intelligence in Search
Engines. Follow the link to download it if you are interested.
Search algorithm can be used for the faster or better search of the relevant
result or answer.
Graphical signs and/or symbols can be incorporated to show emotions, making
the conversations more lively and more realistic in nature.
Note About Sample Code:
note that the current functionality and features of this program are very
limited and they are just for accompanying the article. If you want to make this
program more intelligent, make entries in Eliza.Dat file.
can also increase the string manipulation power of the program, like considering
multiple lines from the user, etc. I had written this code in 1 1/2 hr. just to
make it more easier for the readers of my article about what is happening.
SMART YOU MAKE YOUR ELIZA DEPENDS ON HOW FAR YOU EXTEND THIS PROGRAM. THERE IS
PRACTICALLY NO LIMIT !
THIS CODE IS THE MINIMAL WORKING SKELETON !!
forget to read README.TXT before making conclusions about the program !
Included in the accompanying Zip File.
A D V E R T I S E M E N T
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