Word Translation
35 papers with code • 0 benchmarks • 3 datasets
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Libraries
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Soundscape Attributes Translation Project (SATP) Dataset
Most implemented papers
Word Translation Without Parallel Data
facebookresearch/MUSE
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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
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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
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
Multilingual Word Embeddings (MWEs) represent words from multiple languages in a single distributional vector space.
Cross-Lingual Adaptation using Structural Correspondence Learning
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
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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.
Robust Cross-lingual Embeddings from Parallel Sentences
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.
LexC-Gen: Generating Data for Extremely Low-Resource Languages with Large Language Models and Bilingual Lexicons
We show that conditioning on bilingual lexicons is the key component of LexC-Gen. LexC-Gen is also practical -- it only needs a single GPU to generate data at scale.
A Resource-Light Method for Cross-Lingual Semantic Textual Similarity
gg42554/cl-sts
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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
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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.
