Bilingual Lexicon Induction

19 papers with code • 0 benchmarks • 0 datasets

Translate words from one language to another.


Greatest papers with code

Learning Multilingual Word Embeddings in Latent Metric Space: A Geometric Approach

microsoft/recommenders TACL 2019

Our approach decouples learning the transformation from the source language to the target language into (a) learning rotations for language-specific embeddings to align them to a common space, and (b) learning a similarity metric in the common space to model similarities between the embeddings.

Bilingual Lexicon Induction Multilingual Word Embeddings +1

Refinement of Unsupervised Cross-Lingual Word Embeddings

artetxem/vecmap 21 Feb 2020

In this paper, we propose a self-supervised method to refine the alignment of unsupervised bilingual word embeddings.

Bilingual Lexicon Induction Word Embeddings

Bilingual Lexicon Induction through Unsupervised Machine Translation

artetxem/monoses ACL 2019

A recent research line has obtained strong results on bilingual lexicon induction by aligning independently trained word embeddings in two languages and using the resulting cross-lingual embeddings to induce word translation pairs through nearest neighbor or related retrieval methods.

Bilingual Lexicon Induction Language Modelling +3

Density Matching for Bilingual Word Embedding

violet-zct/DeMa-BWE NAACL 2019

Recent approaches to cross-lingual word embedding have generally been based on linear transformations between the sets of embedding vectors in the two languages.

Bilingual Lexicon Induction Word Embeddings +1

Unsupervised Cross-lingual Transfer of Word Embedding Spaces

xrc10/unsup-cross-lingual-embedding-transfer EMNLP 2018

Supervised methods for this problem rely on the availability of cross-lingual supervision, either using parallel corpora or bilingual lexicons as the labeled data for training, which may not be available for many low resource languages.

Bilingual Lexicon Induction Cross-Lingual Transfer +3

Learning Contextualised Cross-lingual Word Embeddings for Extremely Low-Resource Languages Using Parallel Corpora

twadada/multilingual-nlm 27 Oct 2020

We propose a new approach for learning contextualised cross-lingual word embeddings based only on a small parallel corpus (e. g. a few hundred sentence pairs).

Bilingual Lexicon Induction Word Alignment +1

Bilingual Lexicon Induction with Semi-supervision in Non-Isometric Embedding Spaces

joelmoniz/BLISS ACL 2019

We then propose Bilingual Lexicon Induction with Semi-Supervision (BLISS) --- a semi-supervised approach that relaxes the isometric assumption while leveraging both limited aligned bilingual lexicons and a larger set of unaligned word embeddings, as well as a novel hubness filtering technique.

Bilingual Lexicon Induction Word Embeddings