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Hits 1 – 3 of 3
1
Learning to scale multilingual representations for vision-language tasks
Burns, Andrea
;
Kim, Donghyun
;
Wijaya, Derry
;
Saenko, Kate
;
Plummer, Bryan A.
. - 2020
Abstract:
Current multilingual vision-language models either require a large number of additional parameters for each supported language, or suffer performance degradation as languages are added. In this paper, we propose a Scalable Multilingual Aligned Language Representation (SMALR) that supports many languages with few model parameters without sacrificing downstream task performance. SMALR learns a fixed size language-agnostic representation for most words in a multilingual vocabulary, keeping language-specific features for just a few. We use a masked cross-language modeling loss to align features with context from other languages. Additionally, we propose a cross-lingual consistency module that ensures predictions made for a query and its machine translation are comparable. The effectiveness of SMALR is demonstrated with ten diverse languages, over twice the number supported in vision-language tasks to date. We evaluate on multilingual image-sentence retrieval and outperform prior work by 3-4% with less than 1/5th the training parameters compared to other word embedding methods. ; Published version
Keyword:
Computation and language
;
Computer vision and pattern recognition
;
Scalable Multilingual Aligned Language Representation
URL:
https://hdl.handle.net/2144/43499
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2
Learning to scale multilingual representations for vision-language tasks
Burns, Andrea
;
Kim, Donghyun
;
Wijaya, Derry
. - : Springer, 2020
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3
Learning to Scale Multilingual Representations for Vision-Language Tasks ...
Burns, Andrea
;
Kim, Donghyun
;
Wijaya, Derry
. - : arXiv, 2020
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