A Mountain of Pent Up Tears – children’s stories generated texts

Children’s stories this is part of the classic literature series on this blog, experiments in hybrid fiction. 

I turned out so fast, I barely looked back. (I turned to look, only to find the figure had gone.) What has gone before was the dark room.

In the far left corner lay a pile of books. The ones on the page, all full of life’s lessons; the black ones, I thought of the colorless, the dark books, my soul had never seen red in my life. These weren’t books of old stories. These were children’s stories told by old schoolboys, and children’s books have been around ever since:

This was written in the 1840s when young, red dwarfs lived in the forest. They wore their clothes brown and brown and purple. At the close of the story, the author makes the child a dwarf, the woods were too far for them to go, so they are made brown. His book is told like many children’s stories.

“This is where the forest is.”

“The forest, where do I go then?”

“In the woods. In the woods, as you said.”

“I, too, am brown.”

“Yes, I am. I am in the forest. It is the way of the forest.”

“And me?”

“Yes, too, me too.”

“And you too?”

“Yes, too.”

The forest is the only place in which these children can know what things are true. They see the forest as their only home. If they go away, then they see them as an enemy who must be conquered. But these children have all travelled over, and gone past. They’ve seen it all over again.

They know what the forest is; how it works, how things go. They can see everything. And for some reason they know that they are all in the same boat, that they can never cross over to other paths. So they know, even in that boat, what the forest means, and why it is there.

What’s behind the green, silver-tinted door. Where’s the white door? That’s not the forest, is it? The white door has never been there. What was behind that door, the door to the land?

They do not know why they were born into the woods. They think that the forest is God’s gift for them. But what’s there to be gifted for? They are the only ones, after all.

When asked how the sun comes out, and when asked why the sun comes out.

Answer: There is no one here who knows.

And they need not have seen the sun.

 


GD: the first 68 words of the generated text (above) was next used as the prompt to generate the text (below). The 68 words are shown in italics.


I turned out so fast, I barely looked back. (I turned to look, only to find the figure had gone.) What has gone before was the dark room.

In the far left corner lay a pile of books. The ones on the page, all full of life’s lessons; the black ones, I thought of the colorless, the dark books, my soul had never seen red in my life.  

There, I thought, was the door leading to what was yet to come. But in the darkness, an unseen figure, one I couldn’t yet recognize, looked from the left to the right, slowly. As it followed, my eyes scanned the walls, but I couldn’t find the same room. I reached out to touch the door, but the figure stayed, a blank shadow across the room, it never left the door. It seemed to vanish into nothingness.

Then came an accelerating sound, as the figure dropped, and it moved slowly back into the room.

“What have you done?” I cried, the words begins to rise up like a mountain of pent up tears. There, I found, was the door. It turned, and my body seemed to lift it, before the figure itself left to my side.

A smile appeared on my face as I looked at the room, the books filled a giant library with life and lessons, the black ones I had hoped would be my own in my own time, the colorless ones, the ones I’ve already read, the ones I’ve been looking for. They were to tell me what I would need to know, how to survive this night, to know the unknown. They were a path, a map.

In the darkest hall, the room I saw the figure enter, a pale shadow in the light. The place was dark, it was cold. He took me in, and  I felt he was going to kill me, he was taking me inside. The sound woke me, and I opened my eyes to find another shadow, a figure standing behind me. I didn’t know what he was, but I was in my own home.

That man walked towards me, eyes glow green, his eyes were gloomy, the healers he wore, his hair was matted with grey, it was grey that faded in between them. He was big, at least, if a little tall. At least I had grown the right size for this thing.  I don’t think his arms were big, so that is probably just his arms, or perhaps his face was too short for his eyes. His fingers were lank, the seated fingers were black, and  in the dimmest corner of his head was a hood, with no lights.

It was very dark, there was an open door beyond it. He held my hand like a…well, for I was small. I could tell the size of his hand. He had long grey hair in his hands. He held my hand, and I saw red, it was black, as if it was a red colour.

I thought, and in that moment, my skin was soft and shiny. In between my knees. So, I moved over and looked, in my hands, and there was a dark green hand, with red hands, I knew this was a shadow, but that doesn’t mean anything to him.

The first hand, the first hand was big, its face was black, it was large, for I was small. The black was green, its color was darker than red. I touched it, and it was cold.

The second hand was big, but the hands were dark, and had big fingers, the first hand was long and dark green, it was like a purse, I didn’t know how it was, but it was cold, in that moment, I froze.

I could only watch.

 


You can guess the original story from the image (below).

Little Red Riding Hood and Wolf

 

Photo credit https://www.publicdomainpictures.net/

Sentiment Analysis of Caption, News and Fiction text generation experiments

From: text generation editor research (UAL London 2020 see credits).
What happens when writers use a computer text generator to write articles, giving them only an image prompt.

Go to Index of AI research

Sentiment Analysis

The Study had three text generation and editing tasks, to make a Caption,  a News article, and a Fiction story, using the same image prompt of a dog and man.

Summary

This shows differences in Positive sentiment affect between the three different experiments. Most positive at the start, by the end, a balanced neutral view had become evident.

Fear was shown in the first Caption experiment, but was lost in the second News and third Fiction, showing acclimatisation by experience. Generally Negative scores were low.

By Fiction experiment, the third and final, only Sadness was left.

Comment

This shows a learning process during the three experiments.

All results are cautioned by the strong ‘Tentative’ score 0.91 and lack of any ‘Confidence’ scores over 0.5.

Details – Method

For overall sentiment of responses, all text feedback was summed into a total text field per respondent.

Text comment fields were:

Caption, News and Fiction Experiments (3 fields);

Questions 1 (2 fields), 2-6a (5 fields), 6b Fake news (1 field).

This gives 11 feedback text samples per respondent (not all were filled). These are summed vertically in Excel to give the overall text block per column/field.

Texts were also summed per respondent, horizontally in Excel.

NLP and IBM Tone Analyser

NLP (natural language processing) allows computer analysis of text blocks. For this volume of text, the online IBM Tone Analyser (See References at bottom) was used. Writing a custom analyser was outside the scope of the study. Human grading was not possible due to the size of texts when totalled, however human analysis is used for the summary of texts.

IBM Tone Analysis gives a rating for:

Anger Fear Sadness Joy Analytical Confident Tentative

(Coded on data as Ang, A, F, S, J, A, C, T.)

The “most prevalent tones that are detected for each utterance” are shown at a document level, and sentence level.

The document level analysis has scores, and the sentence level (which shows lower occurrences) was added in brackets. This gives a results for example, where the detected tones have a numeric score over 0.5. Scores: <.5 None; =>.5 – .75 Mid; >.75 Strong

At document level, each tone if found, has a score .5-.1.0

Lower graded tones (placed in brackets in data) are placed at the 0.25 level

Examples

J,S,A,T(C,F) – Joy, Sadness, Analytic and Tentative have scores > .5 (and C Confidence, F Fear have lower occurrences only, between >0 and < 0.5)

Ang,F,S() – Ang is Anger, Fear and Sadness have scores > .5 (no others over 0)

F(S) –Fear scores > .5 (Sadness between >0 and < 0.5)

In my data display, a ‘lower occurrence’ (bracketed) is scored at 0.25

Confidence and Tentative are general attitudes shown in the text.

Results

All respondents summed

Caption experiment – all feedback comments

Graph - IMB TA Caprion.png

With motivated stakeholders as respondents, there are high scores for ‘Analytical’ and ‘Tentative’. ‘Confidence’ did not appear at all as a document level tone in all 82 people, and occasionally as a sentence level tone.

Using the highest score amongst ‘Anger’, ‘Fear’ and ‘Sadness’ as Negative, and using ‘Joy’ as Positive, shows a higher degree of positive response.

Fear is evident, but at a low level. Sadness is the strongest of the negative reactions.

Positive is about 20% more than Negative. (Significance.)

News experiment – all feedback comments

Graph - IMB TA News.png

More overall positive result than Caption experiment.

Fear has gone, low levels for Anger and Sadness Negative tones. Positive is about 42% more than Negative.

Fiction experiment – all feedback comments

Graph - IMB TA Fiction.png

Sadness at its highest level. Not Positive or Negative. Anger and Fear do not appear.

Summary

This shows differences in Positive sentiment affect between the three different experiments. Most positive at the start, by the end, a balanced neutral view had become evident.

Fear was shown in the first Caption experiment, but was lost in the second News and third Fiction, showing acclimatisation by experience. Generally Negative scores were low.

By Fiction experiment, the third and final, only Sadness was left.

Comment

This shows a learning process during the three experiments.

All results are cautioned by the strong ‘Tentative’ score 0.91 and lack of any ‘Confidence’ scores over 0.5.

References

IBM Tone Analyser

Please see full Report  for further statistics (tba).

Guess the original classics – Born Into Slavery

Born into Slavery

This is a game to see if you can identify the original story author in the generated text below. It has a new title: Born Into Slavery. The generated text is followed by the classic story which was used as the prompt for the computer generation. For technical details see end.


 

Born Into Slavery

What would occur when the daughter came for a visit? Her daughter could not wish to come here but if she had to she was certain to be disappointed.

When her eldest daughter was in her early thirties, Mr. Smith thought it might be advisable to take her away with him to her own country. The time had been long since passed; what had gone before was now forgotten. She was quite happy at home, though she knew the consequences of her leaving the family.

Mrs. Smith, who lived on her own farm, was the more interested of the two, as she had a son she loved. She would rather she had one of her own daughters than, with him, a son. As it was she was obliged to take him along, though with a slight advantage in health and strength. The child, however, was well behaved, and was very fond of her.

The old couple would have had a child when Mrs. Smith was dead; the latter would not have died till Mr. Smith, as they thought, had been ninety years old, and with her, after him. The child, as they said, would live till old Mr. Smith had died; if that should prove impossible, they would have had an heir to one of the first families to the west of the river.

Mrs. Smith was still an old woman, she remembered; her eyes had become dim, her hands and feet were weak, her feet were dull and bent, her hands wrinkled and loose. A change from her old condition, she thought, would have been too much for her now. She had always been happy in her old condition, though always in the present mode.

This story made her do something she thought necessary for the little girl, and she went into the hall and sat down in the great old chair opposite to Mrs. Smith

A woman’s strength, she thought, was her knowledge of her father’s affairs. She knew that as long as her children could walk with her, they could not be married.

Her husband knew that too; he knew where he was going, what he was going to do, and was never the same afterwards. There was a very large number of children, her daughters, living abroad, in the most irregular manners. He had grown somewhat deaf, with a peculiar difficulty about their voices.

And Mrs. Smith never liked it when she was in any degree unhappy; she could not bear to see her men, much less her children, so miserable. Every time they came she wanted to have a chat with them. She was a woman of very little self-control, and she would have felt an extraordinary strain in talking to men in whom she was so anxious to be connected. She had grown quite aware of the dangers of these visits. She felt that she had the moral to avoid them. It was the same with her husband.

One of the dangers she had to observe was whether they should try to give her good advice on an important subject; then she could say nothing but good things about them. And she did not give you any reason why.

And so he took her into another house, where she found him dead. Here is the explanation of one of our own writers, that was born into slavery, and who has since been made a public writer.

In the first place, we say that his wife knew, but she did not have sufficient excuse for going back to him. For she had been married to his eldest son, whom he kept with her, but she had never had a son, not that she was less prone to be the subject of any kind of cruelty than any other woman.

She was a woman well grounded, and could be trusted not to become a mistress or to marry a knave. Now, the reason why Master Smith was the property of Mr. Smith was, that there were several houses there, called for the use of this one Mr. Smith, and he was not there, but was there at a different time; so he did not know him or know of his own family.

But of course this also became a reason for the destruction of his father’s property; for those other houses were to be used by Mr. Smith at a later time, and hence there was no excuse to lose them. And he knew of the condition of his father’s property, and that he had been made a public writer.

Now he said to Master Smith,
“What is the reason of your going to me at this time, that I do not go to him myself?”

“Well, I have said to him before, I do not go to him, because my father was in debt to you.”

“How did I know it?”

“He had a contract of sale of my house, for you had a lease for the premises. You and your father made a bargain, and did not pay; but he does me to make good my debt. He gave me this lease, but left the property to me.”

“What can I do for it?”

“I will not go with you.”

And Mr. Smith went away in his ship; and while he was doing this, he heard the voice of his father’s son, who was living in the ship, saying to him,

“Your father has made you a public writer, at a time when I should have told you everything that you ought to know about me; and he is coming to me to sell my property for your property, and that we must not meet there till the day after the feast.”

As it happened, at the end of his talk with Mr. Smith, who would then have come to him, he heard of the destruction of Mr. Smith’s house, and of the damage done, for a great many months afterwards, to the houses belonging to his son, because of that man’s writing; and Mr. Smith went away in his ship, that there might be no necessity of his telling Mr. Brown that he might not receive anything from him from him without reason.

And it was, at that time, a great pleasure to him to have the ship and his house in the same box, and he said nothing of it.


Original


Pride and Prejudice

Jane Austen 1813

It is a truth universally acknowledged, that a single man in possession of a good fortune, must be in want of a wife.

However little known the feelings or views of such a man may be on his first entering a neighbourhood, this truth is so well fixed in the minds of the surrounding families, that he is considered the rightful property of some one or other of their daughters.

“My dear Mr. Smith,” said his lady to him one day, “have you heard that Manorfield Park is let at last?”

Mr. Smith replied that he had not.

“But it is,” returned she; “for Mrs. Long has just been here, and she told me all about it.”

Mr. Smith made no answer.

“Do you not want to know who has taken it?” cried his wife impatiently.

You want to tell me, and I have no objection to hearing it.”

This was invitation enough.

“Why, my dear, you must know, Mrs. Long says that Manorfield is taken by a young man of large fortune from the north of England; that he came down on Monday in a chaise and four to see the place, and was so much delighted with it, that he agreed with Mr. Morris immediately; that he is to take possession before Michaelmas, and some of his servants are to be in the house by the end of next week.”

“What is his name?”

“Bingley.”

“Is he married or single?”

“Oh! Single, my dear, to be sure! A single man of large fortune; four or five thousand a year. What a fine thing for our girls!”

“How so? How can it affect them?”

“My dear Mr. Smith,” replied his wife, “how can you be so tiresome! You must know that I am thinking of his marrying one of them.”

“Is that his design in settling here?”

“Design! Nonsense, how can you talk so! But it is very likely that he may fall in love with one of them, and therefore you must visit him as soon as he comes.”

“I see no occasion for that. You and the girls may go, or you may send them by themselves, which perhaps will be still better, for as you are as handsome as any of them, Mr. Bingley may like you the best of the party.”

“My dear, you flatter me. I certainly have had my share of beauty, but I do not pretend to be anything extraordinary now. When a woman has five grown-up daughters, she ought to give over thinking of her own beauty.”

“In such cases, a woman has not often much beauty to think of.”

“But, my dear, you must indeed go and see Mr. Bingley when he comes into the neighbourhood.”

“It is more than I engage for, I assure you.”

“But consider your daughters. Only think what an establishment it would be for one of them. Sir William and Lady Lucas are determined to go, merely on that account, for in general, you know, they visit no newcomers. Indeed you must go, for it will be impossible for us to visit him if you do not.”

“You are over-scrupulous, surely. I dare say Mr. Bingley will be very glad to see you; and I will send a few lines by you to assure him of my hearty consent to his marrying whichever he chooses of the girls; though I must throw in a good word for my little Lizzy.”

“I desire you will do no such thing. Lizzy is not a bit better than the others; and I am sure she is not half so handsome as Jane, nor half so good-humoured as Lydia. But you are always giving her the preference.”

“They have none of them much to recommend them,” replied he; “they are all silly and ignorant like other girls; but Lizzy has something more of quickness than her sisters.”

“Mr. Smith, how can you abuse your own children in such a way? You take delight in vexing me. You have no compassion for my poor nerves.”

“You mistake me, my dear. I have a high respect for your nerves. They are my old friends. I have heard you mention them with consideration these last twenty years at least.”

“Ah, you do not know what I suffer.”

“But I hope you will get over it, and live to see many young men of four thousand a year come into the neighbourhood.”

“It will be no use to us, if twenty such should come, since you will not visit them.”

“Depend upon it, my dear, that when there are twenty, I will visit them all.”

Mr. Smith was so odd a mixture of quick parts, sarcastic humour, reserve, and caprice, that the experience of three-and-twenty years had been insufficient to make his wife understand his character. Her mind was less difficult to develop. She was a woman of mean understanding, little information, and uncertain temper. When she was discontented, she fancied herself nervous. The business of her life was to get her daughters married; its solace was visiting and news.


Notes

Prompt was 10-20 words from the original. GPT-2 system by Fabrice Bellard – see the site below for credits etc.
Made on my creativity app Story Live – please visit.

Text from Gutenburg free classic ebooks

A certain amount of cherry-picking of the most grammatical and interesting generated parts, but no actual editing (moving around of words or new words). Identifying names are changed.

More of these will be posted, see the index.

Computer-Human Hybrid AI Writing and Creative Ethics

Introduction

This blog is about my 2020 research into computer text generation and the effects on professional ands amateur writers. I am working on this topic at the University of the Arts London (UAL CCI, Dir. Mick Grierson).

No-one has asked creatives or writers what they think of the new ‘AI’ systems that generate readable text and so directly threaten their jobs, and could change the way people work forever (or don’t work forever). This is a topic that directly impinges on self-worth and financial worth in more ways than anyone can imagine, although plenty are worrying.

STUDY – ONLINE EXPERIMENT
August-October 2020

I devised an online experiment about this topic, allowing respondents to experiment with creating hybrid stories using a text generator. The people were all professional or serious amateurs (and a couple of small students) invited from my own creative writing software mailing list, a couple of writing forums, and a publisher’s writers’ forum, plus friends and relatives who generally use writing in their work. Credits are at the bottom.

Text generation

You might have heard of Google OpenAI’s GPT-2 and GPT-3. My experiment uses a generating system (Fabrice Bellard’s Text Synth, with permission)  based on GPT-2, that anyone can use. GPT-2 was used here as the model works well for idea generation and is more generally available at the time than GPT-3, which is much larger.

Note: The text generation and editing system is now a free online tool (creativity support tool or CST) at

Story Live writing with AI free online

The experimental results will feed into this blog (see Index for different aspects) and later an academic paper, and also a new book for the general public on the whole subject of computers, creativity and writing.

Please sign up for news and notifications – there’s a form on this page.

Brief description of the Study

Below is a graphic of the entire online study. Each block is a page and journey was left to right from top to bottom. The three text generation and editing experiments used a similar set up to the Story Live tool.

Each writing experiment – Caption, News and Fiction – had a question afterwards, then there were more questions after the experiments (see diagram below). All this will be addressed in blogs here, along with other discussions.

The image writing prompt was the same for each experiment and for all respondents for uniformity (there is a blog on the man and dog here).

Prompt image man and dog
Prompt image man and dog
Flowchart of Study

Geoff Davis

The computer support tool (CST) from this study is Story Live writing with AI free online

My other creativity tools are Notes Story Board and Story Lite from my Story Software. For my other activities please see the home page of this site.

Study

This study was devised and the site programmed by Geoff Davis for post-graduate research at University of London Creative Computing Institute UAL CCI 2020. The Supervisor is Professor Mick Grierson, Research Leader, UAL Creative Computing Institute.

Text Synth

Text Synth, by Fabrice Bellard, is a publicly available text generator, was used as this is the sort of system people might use outside of the study. It was also not practical to recreate (program, train, fine-tune, host) a large scale text generation system for this usability pre-study. Permission was granted to use Text Synth in the study by Fabrice Bellard Jul 7 2020.

Fabrice Bellard, coder of Text Synth.
Fabrice is an all-round genius and writes a lot of OS. Text Synth was built using the GPT-2 language model released by Google OpenAI. It is a neural network of 1.5 billion parameters based on the Transformer architecture.