Word Translation

35 papers with code • 0 benchmarks • 3 datasets

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Most implemented papers

Word Translation Without Parallel Data

facebookresearch/MUSE ICLR 2018

We finally describe experiments on the English-Esperanto low-resource language pair, on which there only exists a limited amount of parallel data, to show the potential impact of our method in fully unsupervised machine translation.

Non-Adversarial Unsupervised Word Translation

facebookresearch/MUSE EMNLP 2018

We present a novel method that first aligns the second moment of the word distributions of the two languages and then iteratively refines the alignment.

Loss in Translation: Learning Bilingual Word Mapping with a Retrieval Criterion

facebookresearch/fastText EMNLP 2018

Continuous word representations learned separately on distinct languages can be aligned so that their words become comparable in a common space.

Unsupervised Multilingual Word Embeddings

ccsasuke/umwe EMNLP 2018

Multilingual Word Embeddings (MWEs) represent words from multiple languages in a single distributional vector space.

Cross-Lingual Adaptation using Structural Correspondence Learning

pprett/bolt 4 Aug 2010

From these correspondences a cross-lingual representation is created that enables the transfer of classification knowledge from the source to the target language.

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.

Robust Cross-lingual Embeddings from Parallel Sentences

epfml/Bi-Sent2Vec 28 Dec 2019

Recent advances in cross-lingual word embeddings have primarily relied on mapping-based methods, which project pretrained word embeddings from different languages into a shared space through a linear transformation.

A Resource-Light Method for Cross-Lingual Semantic Textual Similarity

gg42554/cl-sts 19 Jan 2018

In contrast, we propose an unsupervised and a very resource-light approach for measuring semantic similarity between texts in different languages.

Unsupervised Clinical Language Translation

ckbjimmy/p2c 4 Feb 2019

As patients' access to their doctors' clinical notes becomes common, translating professional, clinical jargon to layperson-understandable language is essential to improve patient-clinician communication.

Context-Aware Cross-Lingual Mapping

h-aldarmaki/sent_translation_retrieval NAACL 2019

Cross-lingual word vectors are typically obtained by fitting an orthogonal matrix that maps the entries of a bilingual dictionary from a source to a target vector space.