This resource contains the source code of our EMNLP-2020 paper entitled LNMap: Departures from Isomorphic Assumption in Bilingual Lexicon Induction Through Non-Linear Mapping in Latent Space.
Source code
Datasets
- Conneau et al. (2018) Dataset: Consists of FastText monolingual embeddings of 300 dimensions trained on Wikipedia monolingual corpus and gold dictionaries for 110 language pairs.
- Dinu-Artexe dataset: Consists of monolingual embeddings of 300 dimension for English, Italian and Spanish. English and Italian embeddings were trained on WacKy corpora using CBOW, while the Spanish embeddings were trained on WMT News Crawl.
Citation
Please cite our paper if you found the resources in this repository useful.
@inproceedings{mohiuddin-etal-2020-lnmap,
title = "{LNM}ap: Departures from Isomorphic Assumption in Bilingual Lexicon Induction Through Non-Linear Mapping in Latent Space",
author = "Mohiuddin, Tasnim and
Bari, M Saiful and
Joty, Shafiq",
booktitle = "Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)",
month = nov,
year = "2020",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://www.aclweb.org/anthology/2020.emnlp-main.215",
pages = "2712--2723"
}