Converting prose into poetry using neural networks
| Název práce v češtině: | Převod prózy do poezie pomocí neuronových sítí |
|---|---|
| Název v anglickém jazyce: | Converting prose into poetry using neural networks |
| Klíčová slova: | generování poezie, strojový překlad, hluboké neuronové sítě, Transformer |
| Klíčová slova anglicky: | generating poetry, machine translation, deep neural networks, Transformer |
| Akademický rok vypsání: | 2019/2020 |
| Typ práce: | diplomová práce |
| Jazyk práce: | angličtina |
| Ústav: | Ústav formální a aplikované lingvistiky (32-UFAL) |
| Vedoucí / školitel: | Mgr. Martin Popel, Ph.D. |
| Řešitel: | skrytý - zadáno a potvrzeno stud. odd. |
| Datum přihlášení: | 03.01.2020 |
| Datum zadání: | 03.01.2020 |
| Datum potvrzení stud. oddělením: | 13.01.2020 |
| Datum a čas obhajoby: | 08.09.2021 09:00 |
| Datum odevzdání elektronické podoby: | 23.07.2021 |
| Datum odevzdání tištěné podoby: | 23.07.2021 |
| Datum proběhlé obhajoby: | 08.09.2021 |
| Oponenti: | Mgr. et Mgr. Ondřej Dušek, Ph.D. |
| Zásady pro vypracování |
| This thesis investigates the applications of sequence to sequence neural network models in the generation of poetry, particularly harnessing machine translation methods to capture the difference between prose and poetry, and "translate" prose into poems. Style, meaning, rhyme, rhythm and structure are some of the properties that the investigation will focus on. Collections of Czech, English and Turkish poetry and prose will serve as training data, and will be used along with machine translation models to produce prose versions of the poems as well as training new MT models to translate the generated prose into poetry. |
| Seznam odborné literatury |
| Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin. Attention is All you Need. In Guyon, I., U. V. Luxburg, S. Bengio, H. Wallach, R. Fergus, S. Vishwanathan, and R. Garnett, editors, Advances in Neural Information Processing Systems 30, pages 6000–6010. Curran Associates, Inc., 2017. URL http://papers.nips.cc/paper/7181-attention-is-all-you-need.pdf.
Sennrich, Rico, Barry Haddow, and Alexandra Birch. Improving neural machine translation models with monolingual data. ACL 2016. Bei Liu Jianlong Fu Makoto P. Kato Masatoshi Yoshikawa. Beyond Narrative Description: Generating Poetry from Images by Multi-Adversarial Training. ACM Multimedia 2018. |
| Předběžná náplň práce v anglickém jazyce |
| There are many approaches for automatic generation of verses using (neural or n-gram) language models - the user then writes first few words and the machine completes the poem.
However, the goal of this thesis is different - the user inputs a text in prose and the machine converts it into verses, while preserving the meaning to some extent. Part of the thesis will be designing and implementing a set of automatic evaluation measures. |