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 18511875 of 10752 papers

TitleStatusHype
Semantically Consistent Data Augmentation for Neural Machine Translation via Conditional Masked Language ModelCode0
Mega: Moving Average Equipped Gated AttentionCode2
PePe: Personalized Post-editing Model utilizing User-generated Post-edits0
LINGUIST: Language Model Instruction Tuning to Generate Annotated Utterances for Intent Classification and Slot Tagging0
EffEval: A Comprehensive Evaluation of Efficiency for MT Evaluation MetricsCode0
Relaxed Attention for Transformer Models0
Vega-MT: The JD Explore Academy Translation System for WMT22Code1
Learning Decoupled Retrieval Representation for Nearest Neighbour Neural Machine Translation0
The first neural machine translation system for the Erzya languageCode1
A Snapshot into the Possibility of Video Game Machine Translation0
An Empirical Study of Automatic Post-Editing0
Transformer-based Detection of Multiword Expressions in Flower and Plant Names0
Examining Large Pre-Trained Language Models for Machine Translation: What You Don't Know About It0
Rethinking Round-Trip Translation for Machine Translation EvaluationCode0
Toward Improving Health Literacy in Patient Education Materials with Neural Machine Translation Models0
Revisiting Neural Scaling Laws in Language and Vision0
Data-adaptive Transfer Learning for Translation: A Case Study in Haitian and Jamaican0
Rethink about the Word-level Quality Estimation for Machine Translation from Human JudgementCode0
Simple and Effective Gradient-Based Tuning of Sequence-to-Sequence Models0
Adapting to Non-Centered Languages for Zero-shot Multilingual TranslationCode0
MaxMatch-Dropout: Subword Regularization for WordPieceCode1
Knowledge Based Template Machine Translation In Low-Resource Setting0
Leveraging machine translation for cross-lingual fine-grained cyberbullying classification amongst pre-adolescentsCode0
Adam Mickiewicz University at WMT 2022: NER-Assisted and Quality-Aware Neural Machine Translation0
On the Complementarity between Pre-Training and Random-Initialization for Resource-Rich Machine TranslationCode0
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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