A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Translation Inference through Multi-lingual Word Embedding Similarity
2019
Zenodo
Preserved Fulltext
This paper describes our contribution to the Shared Task on Translation Inference across Dictionaries (TIAD-2019). In our approach, we construct a multi-lingual word embedding space by projecting new languages in the feature space of a language for which a pretrained embedding model exists. We use the similarity of the word embeddings to predict candidate translations. Even if our projection methodology is rather simplistic, our system outperforms the other participating systems with respect to
doi:10.5281/zenodo.3555183
fatcat:ky5avcys7vd4lglkyuqw3fpvfi