Bilingual Lexicon Induction

26 papers with code • 0 benchmarks • 0 datasets

Translate words from one language to another.

Most implemented papers

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

anoopkunchukuttan/geomm 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.

Cross-lingual Alignment vs Joint Training: A Comparative Study and A Simple Unified Framework

thespectrewithin/joint-align ICLR 2020

Learning multilingual representations of text has proven a successful method for many cross-lingual transfer learning tasks.

Learning Crosslingual Word Embeddings without Bilingual Corpora

longdt219/xlingualemb EMNLP 2016

Crosslingual word embeddings represent lexical items from different languages in the same vector space, enabling transfer of NLP tools.

Evaluating bilingual word embeddings on the long tail

braunefe/BWEeval NAACL 2018

Bilingual word embeddings are useful for bilingual lexicon induction, the task of mining translations of given words.

Two Methods for Domain Adaptation of Bilingual Tasks: Delightfully Simple and Broadly Applicable

hangyav/biadapt ACL 2018

Bilingual tasks, such as bilingual lexicon induction and cross-lingual classification, are crucial for overcoming data sparsity in the target language.

A Discriminative Latent-Variable Model for Bilingual Lexicon Induction

sebastianruder/latent-variable-vecmap EMNLP 2018

We introduce a novel discriminative latent-variable model for the task of bilingual lexicon induction.

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.

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.

Hubless Nearest Neighbor Search for Bilingual Lexicon Induction

baidu-research/HNN ACL 2019

Recent advances in BLI work by aligning the two word embedding spaces.