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Multilingual Word Embeddings

7 papers with code · Methodology

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ConceptNet at SemEval-2017 Task 2: Extending Word Embeddings with Multilingual Relational Knowledge

SEMEVAL 2017 commonsense/conceptnet-numberbatch

This paper describes Luminoso's participation in SemEval 2017 Task 2, "Multilingual and Cross-lingual Semantic Word Similarity", with a system based on ConceptNet.

MULTILINGUAL WORD EMBEDDINGS

Massively Multilingual Word Embeddings

5 Feb 2016idiap/mhan

We introduce new methods for estimating and evaluating embeddings of words in more than fifty languages in a single shared embedding space.

MULTILINGUAL WORD EMBEDDINGS TEXT CATEGORIZATION

SimAlign: High Quality Word Alignments without Parallel Training Data using Static and Contextualized Embeddings

18 Apr 2020masoudjs/simalign

Statistical word aligners perform well, as do methods that extract alignments jointly with translations in NMT.

MACHINE TRANSLATION MULTILINGUAL WORD EMBEDDINGS WORD ALIGNMENT

Unsupervised Multilingual Word Embeddings

EMNLP 2018 ccsasuke/umwe

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

MULTILINGUAL WORD EMBEDDINGS

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

TACL 2019 anoopkunchukuttan/geomm

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.

MULTILINGUAL WORD EMBEDDINGS

Cross-lingual Lexical Sememe Prediction

EMNLP 2018 thunlp/CL-SP

We propose a novel framework to model correlations between sememes and multi-lingual words in low-dimensional semantic space for sememe prediction.

CROSS-LINGUAL SEMEME PREDICTION LEARNING WORD EMBEDDINGS MULTILINGUAL WORD EMBEDDINGS