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Exploring cross-lingual word embeddings for the inference of bilingual dictionaries

Marcos García, Marcos García-Salido, Miguel A. Alonso
2019 International Conference on Language, Data, and Knowledge  
All four methods make use of cross-lingual word embeddings trained on monolingual corpora, and then mapped into a shared vector space.  ...  We describe four systems to generate automatically bilingual dictionaries based on existing ones: three transitive systems differing only in the pivot language used, and a system based on a different approach  ...  Algorithm With a view to exploring solely the performance of cross-lingual word embeddings in this task, it must be noted that our approach only uses the first and last columns of the input data (the source  ... 
dblp:conf/ldk/GarciaGA19 fatcat:rtxyxfhjsfhjtdxdrmxc5l5ja4

On the Robustness of Unsupervised and Semi-supervised Cross-lingual Word Embedding Learning [article]

Yerai Doval and Jose Camacho-Collados and Luis Espinosa-Anke and Steven Schockaert
2020 arXiv   pre-print
Cross-lingual word embeddings are vector representations of words in different languages where words with similar meaning are represented by similar vectors, regardless of the language.  ...  Our conclusions put in doubt the view that high-quality cross-lingual embeddings can always be learned without much supervision.  ...  Evaluation We use two standard tasks for evaluating cross-lingual word embeddings: bilingual dictionary induction (Section 5.1) and cross-lingual word similarity (Section 5.2).  ... 
arXiv:1908.07742v4 fatcat:jbbd35pomndfjjeebzugbsyy24

Graph Exploration and Cross-lingual Word Embeddings for Translation Inference Across Dictionaries

Marta Lanau-Coronas, Jorge Gracia
2020 Zenodo  
To that end, we essayed two different types of techniques: based on graph exploration on the one hand and, on the other hand, based on cross-lingual word embeddings.  ...  The aim of the task is to automatically generate new bilingual dictionaries from existing ones.  ...  A robust self-learning method for fully unsupervised cross-lingual mappings of word embeddings.  ... 
doi:10.5281/zenodo.3898278 fatcat:4asperaxhzdflnlksnu6ybu3zy

Baselines and test data for cross-lingual inference [article]

Željko Agić, Natalie Schluter
2018 arXiv   pre-print
Our systems are based on cross-lingual word embeddings and machine translation.  ...  The recent years have seen a revival of interest in textual entailment, sparked by i) the emergence of powerful deep neural network learners for natural language processing and ii) the timely development  ...  In experiments with three types of transfer systems, we record viable scores, while at the same time exploring the scalability of cross-lingual inference for low-resource languages.  ... 
arXiv:1704.05347v2 fatcat:pbzvb2x6sbaupairgfoavj6zg4

Meemi: A Simple Method for Post-processing and Integrating Cross-lingual Word Embeddings [article]

Yerai Doval, Jose Camacho-Collados, Luis Espinosa-Anke, Steven Schockaert
2020 arXiv   pre-print
tasks such as cross-lingual hypernym discovery and cross-lingual natural language inference.  ...  While monolingual word embeddings encode information about words in the context of a particular language, cross-lingual embeddings define a multilingual space where word embeddings from two or more languages  ...  Acknowledgments Yerai Doval has been supported by the Spanish Ministry of Economy, Industry and Competitiveness (MINECO) through the ANSWER-ASAP project (TIN2017-85160-C2-2-R); by the Spanish State Secretariat  ... 
arXiv:1910.07221v4 fatcat:ezeepywtkfdqbalfdpa6vpqqdy

Learning to Represent Bilingual Dictionaries

Muhao Chen, Yingtao Tian, Haochen Chen, Kai-Wei Chang, Steven Skiena, Carlo Zaniolo
2019 Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL)  
The proposed model is trained to map the lexical definitions to the cross-lingual target words, for which we explore with different sentence encoding techniques.  ...  Bilingual word embeddings have been widely used to capture the correspondence of lexical semantics in different human languages.  ...  Acknowledgement We thank the anonymous reviewers for their insightful comments. This work was supported in part by National Science Foundation Grant IIS-1760523.  ... 
doi:10.18653/v1/k19-1015 dblp:conf/conll/ChenTCCSZ19 fatcat:acovrv3wuzbtnnifgysnrkc63q

English–Welsh Cross-Lingual Embeddings

Luis Espinosa-Anke, Geraint Palmer, Padraig Corcoran, Maxim Filimonov, Irena Spasić, Dawn Knight
2021 Applied Sciences  
In this paper, we present and evaluate a suite of cross-lingual embeddings for the English–Welsh language pair.  ...  We evaluated different combinations of these approaches using two tasks, bilingual dictionary induction, and cross-lingual sentiment analysis.  ...  Acknowledgments: The research on which this article is based was funded by the Welsh Government as part of the "Learning English-Welsh bilingual embeddings and applications in text categorisation" project  ... 
doi:10.3390/app11146541 fatcat:aht2dnh6xje4ldtw5zhdimmkea

LLOD-Driven Bilingual Word Embeddings Rivaling Cross-Lingual Transformers in Quality of Life Concept Detection from French Online Health Communities [chapter]

Katharina Allgaier, Susana Veríssimo, Sherry Tan, Matthias Orlikowski, Matthias Hartung
2021 Applications and Practices in Ontology Design, Extraction, and Reasoning  
Cross-lingual supervision is provided by LLOD lexical resources to learn bilingual word embeddings that are simultaneously tuned to represent an inventory of HRQoL concepts based on the World Health Organization's  ...  We describe the use of Linguistic Linked Open Data (LLOD) to support a cross-lingual transfer framework for concept detection in online health communities.  ...  Acknowledgments This work was funded by the Prêt-à-LLOD project within the European Union's Horizon 2020 research and innovation programme under grant agreement no. 825182.  ... 
doi:10.3233/ssw210037 fatcat:nvmixudmg5gy5naedlaezqlkbi

Scalable Cross-Lingual Transfer of Neural Sentence Embeddings [article]

Hanan Aldarmaki, Mona Diab
2019 arXiv   pre-print
We develop and investigate several cross-lingual alignment approaches for neural sentence embedding models, such as the supervised inference classifier, InferSent, and sequential encoder-decoder models  ...  Our results support representation transfer as a scalable approach for modular cross-lingual alignment of neural sentence embeddings, where we observe better performance compared to joint models in intrinsic  ...  Conclusions We explored different approaches for cross-lingual alignment of top-down sentence embedding models: joint modeling, representation transfer, and sentence mapping.  ... 
arXiv:1904.05542v1 fatcat:cvmxdq7kvzbhphsanx5rlq6rbi

Scalable Cross-Lingual Transfer of Neural Sentence Embeddings

Hanan Aldarmaki, Mona Diab
2019 Proceedings of the Eighth Joint Conference on Lexical and Computational Semantics (*  
Our results support representation transfer as a scalable approach for modular cross-lingual alignment of neural sentence embeddings, where we observe better performance compared to joint models in intrinsic  ...  We develop and investigate several crosslingual alignment approaches for neural sentence embedding models, such as the supervised inference classifier, InferSent, and sequential encoder-decoder models.  ...  Conclusions We explored different approaches for cross-lingual alignment of top-down sentence embedding models: joint modeling, representation transfer, and sentence mapping.  ... 
doi:10.18653/v1/s19-1006 dblp:conf/starsem/AldarmakiD19 fatcat:oxgda73bpfcsphfh5vdpuhkeiy

LLOD-driven Bilingual Word Embeddings Rivaling Cross-lingual Transformers in Quality of Life Concept Detection from French Online Health Communities

Katharina Allgaier, Susana Veríssimo, Sherry Tan, Matthias Orlikowski, Matthias Hartung
2021 Zenodo  
Cross-lingual supervision is provided by LLOD lexical resources to learn bilingual word embeddings that are simultaneously tuned to represent an inventory of HRQoL concepts based on the World Health Organization's  ...  We describe the use of Linguistic Linked Open Data (LLOD) to support a cross-lingual transfer framework for concept detection in online health communities.  ...  Acknowledgments This work was funded by the Prêt-à-LLOD project within the European Union's Horizon 2020 research and innovation programme under grant agreement no. 825182.  ... 
doi:10.5281/zenodo.5011771 fatcat:3t6upx3orjcxzirw5vqsdwp3wu

Context-Aware Cross-Lingual Mapping [article]

Hanan Aldarmaki, Mona Diab
2019 arXiv   pre-print
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.  ...  We also implement cross-lingual mapping of deep contextualized word embeddings using parallel sentences with word alignments.  ...  One of the most common and effective approaches for obtaining bilingual word embeddings is by fitting a linear transformation matrix on the entries of a bilingual seed dictionary (Mikolov et al., 2013  ... 
arXiv:1903.03243v2 fatcat:bgy3m2lhurdrjkhcojmgiu5pjm

Context-Aware Cross-Lingual Mapping

Hanan Aldarmaki, Mona Diab
2019 Proceedings of the 2019 Conference of the North  
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.  ...  We also implement cross-lingual mapping of deep contextualized word embeddings using parallel sentences with word alignments.  ...  One of the most common and effective approaches for obtaining bilingual word embeddings is by fitting a linear transformation matrix on the entries of a bilingual seed dictionary (Mikolov et al., 2013  ... 
doi:10.18653/v1/n19-1391 dblp:conf/naacl/AldarmakiD19 fatcat:wzw7ssx3over7h3uk6heh6siwu

A Survey of Cross-lingual Word Embedding Models

Sebastian Ruder, Ivan Vulić, Anders Søgaard
2019 The Journal of Artificial Intelligence Research  
We also discuss the different ways cross-lingual word embeddings are evaluated, as well as future challenges and research horizons.  ...  Cross-lingual representations of words enable us to reason about word meaning in multilingual contexts and are a key facilitator of cross-lingual transfer when developing natural language processing models  ...  Acknowledgements We thank the anonymous reviewers and the editors for their valuable and comprehensive feedback.  ... 
doi:10.1613/jair.1.11640 fatcat:vwlgtzzmhfdlnlyaokx2whxgva

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

Pratik Jawanpuria, Arjun Balgovind, Anoop Kunchukuttan, Bamdev Mishra
2018 arXiv   pre-print
We show that our approach outperforms previous approaches on the bilingual lexicon induction and cross-lingual word similarity tasks.  ...  We propose a novel geometric approach for learning bilingual mappings given monolingual embeddings and a bilingual dictionary.  ...  posed latent space representation of multiple languages by sharing annotated resources across languages.  ... 
arXiv:1808.08773v3 fatcat:tkic4ej7drbc3glenbnop6wkja
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