TMU System for SLAM-2018

This code is TMU System for SLAM-2018

Requirements

• python==3.6.0
• torch==0.4.1
• gensim==3.6.0

How to use

You need to download data from this site and place them to data directory. Preprocessing the data for model training:

$ mkdir model_data
$ python preprocessRNNLM.py -train_data data/en_es.slam.20171218.train -valid_data en_es.slam.20171218.dev -valid_key en_es.slam.20171218.dev.key -save_data model_data/en_es

Training the model:

$ python trainRNNLM.py -data model_data/en_es.train.pt -save_model model/enes -gpus 0

Testing the model:

$ python test.py -model model/[model name] -data data/en_es.slam.20171218.dev -output enes.pre

Papers

When referencing this code, please cite this paper.

@InProceedings{W18-0544,
  author =  "Kaneko, Masahiro
    and Kajiwara, Tomoyuki
    and Komachi, Mamoru",
  title =  "TMU System for SLAM-2018",
  booktitle =  "Proceedings of the Thirteenth Workshop on Innovative Use of NLP for Building Educational Applications",
  year =  "2018",
  publisher =  "Association for Computational Linguistics",
  pages =  "365--369",
  location =  "New Orleans, Louisiana",
  url =  "http://aclweb.org/anthology/W18-0544"
}