/BiAAE

Code for our paper "A Bilingual Adversarial Autoencoder for Unsupervised Bilingual Lexicon Induction" in TASLP

Primary LanguagePythonMIT LicenseMIT

BiAAE

Code for our paper "A Bilingual Adversarial Autoencoder for Unsupervised Bilingual Lexicon Induction" in TASLP [pdf]

Setup

This software runs Python 3.6 with the following libraries:

  • Pytorch 0.3.1
  • Faiss

Get start

  1. Preparing monolingual word embeddings and dictionaries, you can download the Wikipedia monolingual word embeddings following this work.

  2. Generating and evaluating unsupervised bilingual word embedding with our method (BiAAE).

   bash run.sh
  1. The results will be stored at directory tune-wiki

References

Please cite Learning A Bilingual Adversarial Autoencoder for Unsupervised Bilingual Lexicon Induction if you found the resources in this repository useful.

  @article{BaiCCZ19,
  author    = {Xuefeng Bai and
               Hailong Cao and
               Kehai Chen and
               Tiejun Zhao},
  title     = {A Bilingual Adversarial Autoencoder for Unsupervised Bilingual Lexicon
               Induction},
  journal   = {IEEE/ACM Transactions on Audio, Speech, and Language Processing},
  volume    = {27},
  number    = {10},
  pages     = {1639--1648},
  year      = {2019},
  url       = {https://doi.org/10.1109/TASLP.2019.2925973},
  doi       = {10.1109/TASLP.2019.2925973},
  timestamp = {Fri, 12 Nov 2021 14:39:59 +0100},
  biburl    = {https://dblp.org/rec/journals/taslp/BaiCCZ19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}