SOTAVerified

Machine Translation

Machine translation is the task of translating a sentence in a source language to a different target language.

Approaches for machine translation can range from rule-based to statistical to neural-based. More recently, encoder-decoder attention-based architectures like BERT have attained major improvements in machine translation.

One of the most popular datasets used to benchmark machine translation systems is the WMT family of datasets. Some of the most commonly used evaluation metrics for machine translation systems include BLEU, METEOR, NIST, and others.

( Image credit: Google seq2seq )

Papers

Showing 851875 of 10752 papers

TitleStatusHype
End-to-End Non-Autoregressive Neural Machine Translation with Connectionist Temporal ClassificationCode1
Relational Surrogate Loss LearningCode1
From MTEB to MTOB: Retrieval-Augmented Classification for Descriptive GrammarsCode0
Align-to-Distill: Trainable Attention Alignment for Knowledge Distillation in Neural Machine TranslationCode0
From Priest to Doctor: Domain Adaptaion for Low-Resource Neural Machine TranslationCode0
From Machine Translation to Code-Switching: Generating High-Quality Code-Switched TextCode0
From Gameplay to Symbolic Reasoning: Learning SAT Solver Heuristics in the Style of Alpha(Go) ZeroCode0
From Masked Language Modeling to Translation: Non-English Auxiliary Tasks Improve Zero-shot Spoken Language UnderstandingCode0
From the Paft to the Fiiture: a Fully Automatic NMT and Word Embeddings Method for OCR Post-CorrectionCode0
Found in Translation: Learning Robust Joint Representations by Cyclic Translations Between ModalitiesCode0
FRAGE: Frequency-Agnostic Word RepresentationCode0
Formality Style Transfer with Shared Latent SpaceCode0
FRMT: A Benchmark for Few-Shot Region-Aware Machine TranslationCode0
Aligning Translation-Specific Understanding to General Understanding in Large Language ModelsCode0
Adapting Word Embeddings to New Languages with Morphological and Phonological Subword RepresentationsCode0
F-MALLOC: Feed-forward Memory Allocation for Continual Learning in Neural Machine TranslationCode0
FlowSense: A Natural Language Interface for Visual Data Exploration within a Dataflow SystemCode0
FLEURS: Few-shot Learning Evaluation of Universal Representations of SpeechCode0
Fixed and Adaptive Simultaneous Machine Translation Strategies Using AdaptersCode0
Fitting Sentence Level Translation Evaluation with Many Dense FeaturesCode0
Fixing Translation Divergences in Parallel Corpora for Neural MTCode0
In-Context Example Selection via Similarity Search Improves Low-Resource Machine TranslationCode0
First the worst: Finding better gender translations during beam searchCode0
Fixup Initialization: Residual Learning Without NormalizationCode0
Focused Concatenation for Context-Aware Neural Machine TranslationCode0
Show:102550
← PrevPage 35 of 431Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Transformer Cycle (Rev)BLEU score35.14Unverified
2Noisy back-translationBLEU score35Unverified
3Transformer+Rep(Uni)BLEU score33.89Unverified
4T5-11BBLEU score32.1Unverified
5BiBERTBLEU score31.26Unverified
6Transformer + R-DropBLEU score30.91Unverified
7Bi-SimCutBLEU score30.78Unverified
8BERT-fused NMTBLEU score30.75Unverified
9Data Diversification - TransformerBLEU score30.7Unverified
10SimCutBLEU score30.56Unverified
#ModelMetricClaimedVerifiedStatus
1Transformer+BT (ADMIN init)BLEU score46.4Unverified
2Noisy back-translationBLEU score45.6Unverified
3mRASP+Fine-TuneBLEU score44.3Unverified
4Transformer + R-DropBLEU score43.95Unverified
5Transformer (ADMIN init)BLEU score43.8Unverified
6AdminBLEU score43.8Unverified
7BERT-fused NMTBLEU score43.78Unverified
8MUSE(Paralllel Multi-scale Attention)BLEU score43.5Unverified
9T5BLEU score43.4Unverified
10Local Joint Self-attentionBLEU score43.3Unverified
#ModelMetricClaimedVerifiedStatus
1PiNMTBLEU score40.43Unverified
2BiBERTBLEU score38.61Unverified
3Bi-SimCutBLEU score38.37Unverified
4Cutoff + Relaxed Attention + LMBLEU score37.96Unverified
5DRDABLEU score37.95Unverified
6Transformer + R-Drop + CutoffBLEU score37.9Unverified
7SimCutBLEU score37.81Unverified
8Cutoff+KneeBLEU score37.78Unverified
9CutoffBLEU score37.6Unverified
10CipherDAugBLEU score37.53Unverified
#ModelMetricClaimedVerifiedStatus
1HWTSC-Teacher-SimScore19.97Unverified
2MS-COMET-22Score19.89Unverified
3MS-COMET-QE-22Score19.76Unverified
4KG-BERTScoreScore17.28Unverified
5metricx_xl_DA_2019Score17.17Unverified
6COMET-QEScore16.8Unverified
7COMET-22Score16.31Unverified
8UniTE-srcScore15.68Unverified
9UniTE-refScore15.38Unverified
10metricx_xxl_DA_2019Score15.24Unverified