Update README.md

README.md

@@ -1,3 +1,58 @@
----
-license: mit
----
+---
+license: cc0-1.0
+language:
+- de
+tags:
+  - natural-language-processing
+  - poetry-generation
+  - text-generation
+  - torch
+  - lstm
+---
+
+This generative text model was trained using [Andrej Karpathy's code](https://github.com/karpathy/char-rnn) on texts of German [Hexameter](https://en.wikipedia.org/w/index.php?title=Hexameter&oldid=1198526559). Models of this type well represent individual style.
+
+Model was trained with size 512 and 3 layers, dropout 0.5.
+
+## Usage
+
+The procedure for installing the required software is described [by Karpathy](https://github.com/karpathy/char-rnn), torch is required, the code is written in lua. Be careful, versions of libraries written many years ago are used!
+
+```bash
+th sample.lua hexameter_lm_lstm_epoch80.00_1.3702.t7
+```
+
+## Train data
+
+Hexameter lines extracted from [large collection of German verses](https://github.com/tnhaider/DLK) running by Thomas Haider.
+
+## What for?
+
+In an era of winning Transformers, ancient RNN models seem archaic. But I see that they still work better than modern architectures with such important categories from the humanities point of view as poetic style.
+
+## Dataset
+
+There is a [repository](https://github.com/nevmenandr/german-generated-poetic-texts) that publishes German poetic texts generated by RNN LSTM models (inclding this one) with different temperature.
+
+## Publication
+
+There are some texts explaining the goal o these poetic experiments and their place in the history of human culture.
+
+* "[Der digitale Superdichter](http://nevmenandr.net/personalia/holderlin.pdf). Vor 250 Jahren wurde Friedrich Hölderlin geboren. Heute kann Computertechnik neue Gedichte im Hölderlin-Sound generieren. Ein Werkstattbericht" *Die Literarische Welt*, 14 March 2020, p. 29. (included in this repository as pdf)
+
+* Orekhov, Boris, and Frank Fischer. "Neural reading: Insights from the analysis of poetry generated by artificial neural networks." *Orbis Litterarum* 75.5 (2020): 230-246. [DOI: 10.1111/oli.12274](https://onlinelibrary.wiley.com/doi/abs/10.1111/oli.12274)
+
+## BibTeX entry and citation info
+
+```
+@article{orekhov2020neural,
+  title={Neural reading: Insights from the analysis of poetry generated by artificial neural networks},
+  author={Orekhov, Boris and Fischer, Frank},
+  journal={Orbis Litterarum},
+  volume={75},
+  number={5},
+  pages={230--246},
+  year={2020},
+  publisher={Wiley Online Library}
+}
+```