Bilingual Lexicon Induction
31 papers with code • 0 benchmarks • 0 datasets
Translate words from one language to another.
Benchmarks
These leaderboards are used to track progress in Bilingual Lexicon Induction
Most implemented papers
Learning Multilingual Word Embeddings in Latent Metric Space: A Geometric Approach
anoopkunchukuttan/geomm
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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
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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
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
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
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
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
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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.
How to (Properly) Evaluate Cross-Lingual Word Embeddings: On Strong Baselines, Comparative Analyses, and Some Misconceptions
In this work, we make the first step towards a comprehensive evaluation of cross-lingual word embeddings.
Density Matching for Bilingual Word Embedding
violet-zct/DeMa-BWE
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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
Recent advances in BLI work by aligning the two word embedding spaces.
