Shakespearizing Modern English Save

Code for "Jhamtani H.*, Gangal V.*, Hovy E. and Nyberg E. Shakespearizing Modern Language Using Copy-Enriched Sequence to Sequence Models" Workshop on Stylistic Variation, EMNLP 2017

Project README

Shakespearizing-Modern-English

Code for "Jhamtani H., Gangal V., Hovy E. and Nyberg E. Shakespearizing Modern Language Using Copy-Enriched Sequence to Sequence Models" Workshop on Stylistic Variation, EMNLP 2017

Link to paper: https://arxiv.org/abs/1707.01161

Requirements

  • Python 2.7
  • Tensorflow 1.1.0

Instructions to run:

Preprocessing:

  • Change working directory to code/main/
  • Create a new directory named 'tmp'
  • Run: python mt_main.py preprocessing

Pointer model:

  • First run pre-processing
  • Change working directory to code/main/
  • python mt_main.py train 10 pointer_model For inference:
  • Change working directory to code/main/
  • python mt_main.py inference tmp/pointer_model7.ckpt greedy

Normal seq2seq model:

  • Look at seq2seq branch of the repo

Post-Processing:

There are two post-processing actions which one may be interested in performing:

  1. Visualizing attention matrices
  2. Replacing UNKS in hypothesis with their highest-aligned (attention) input tokens. For both of these actions, refer to the running instructions in code/main/post_process.py (comments commencing the file). The file can be run in two modes, to perform 1 (write) and 2 (postProcess) respectively*. *Not elaborated on here to preserve conciseness and clarity. Note that the path to test file is hard-coded in the post_process.py file, so to try with a new file,one will have to make corresponding changes.

Baseline (Dictionary):

  • Change working directory to code/baselines/
  • Run: python dictionary_baseline.py ../../data/shakespeare.dict ../../data/test.modern.nltktok ../../data/test.dictBaseline
  • The test.dictBaseline file contains the output (Shakespearean) of the dictionary baseline.
  • To evaluate BLEU:
    • Change working directory to code/main/
    • Run: perl multi-bleu.perl -lc ../../data/test.original.nltktok < ../../data/test.dictBaseline

Baseline (statistical MT)

  • Please follow instructions in "Wei Xu, Alan Ritter, William B Dolan, Ralph Grish- man, and Colin Cherry. 2012. Paraphrasing for style. In 24th International Conference on Computational Linguistics, COLING 2012."

Citation

If you use this code or the processed data, please consider citing our work:

@article{jhamtani2017shakespearizing,
  title={Shakespearizing Modern Language Using Copy-Enriched Sequence-to-Sequence Models},
  author={Jhamtani, Harsh and Gangal, Varun and Hovy, Eduard and Nyberg, Eric},
  journal={EMNLP 2017},
  volume={6},
  pages={10},
  year={2017}
}

Additionally, if you use the data, please consder citing "Wei Xu, Alan Ritter, William B Dolan, Ralph Grish- man, and Colin Cherry. 2012. Paraphrasing for style. In 24th International Conference on Computational Linguistics, COLING 2012."

Open Source Agenda is not affiliated with "Shakespearizing Modern English" Project. README Source: harsh19/Shakespearizing-Modern-English

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