الرئيسية المنصة الوثائق الأخبار الأوراق البحثية الدروس مجموعات البيانات الموسوعة SOTA نماذج LLM لوحة الأداء GPU الفعاليات

العربية

Machine Translation On Wmt2016 English German

المقاييس

BLEU score

النتائج

نتائج أداء النماذج المختلفة على هذا المعيار القياسي

		Paper Title	Repository
MADL	40.68	Multi-Agent Dual Learning	-
Attentional encoder-decoder + BPE	34.2	Edinburgh Neural Machine Translation Systems for WMT 16
Linguistic Input Features	28.4	Linguistic Input Features Improve Neural Machine Translation
DeLighT	28.0	DeLighT: Deep and Light-weight Transformer
FLAN 137B (zero-shot)	27.0	Finetuned Language Models Are Zero-Shot Learners
Transformer	26.7	On the adequacy of untuned warmup for adaptive optimization
FLAN 137B (few-shot, k=11)	26.1	Finetuned Language Models Are Zero-Shot Learners
BiRNN + GCN (Syn + Sem)	24.9	Exploiting Semantics in Neural Machine Translation with Graph Convolutional Networks	-
SMT + iterative backtranslation (unsupervised)	18.23	Unsupervised Statistical Machine Translation
Unsupervised NMT + weight-sharing	10.86	Unsupervised Neural Machine Translation with Weight Sharing
Unsupervised S2S with attention	9.64	Unsupervised Machine Translation Using Monolingual Corpora Only
Exploiting Mono at Scale (single)	-	Exploiting Monolingual Data at Scale for Neural Machine Translation	-

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