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# When Do Bi-LSTMs Outperform Transformers? A Data-Scale Study for Low-Resource Neural Machine Translation
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This repository contains the implementation and experimental setup for our research paper investigating the comparative effectiveness of Bi-LSTM and Transformer architectures across different training data sizes in low-resource machine translation settings.
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---
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license: mit
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datasets:
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- IWSLT/iwslt2017
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language:
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- en
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- de
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metrics:
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- bleu
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- chrf
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pipeline_tag: text-generation
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---
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# When Do Bi-LSTMs Outperform Transformers? A Data-Scale Study for Low-Resource Neural Machine Translation
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This repository contains the implementation and experimental setup for our research paper investigating the comparative effectiveness of Bi-LSTM and Transformer architectures across different training data sizes in low-resource machine translation settings.
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