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

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Showing 1301–1350 of 10752 papers

TitleStatusHype
TranSFormer: Slow-Fast Transformer for Machine Translation—0
Code-Switched Text Synthesis in Unseen Language Pairs—0
Do GPTs Produce Less Literal Translations?Code0
Script Normalization for Unconventional Writing of Under-Resourced Languages in Bilingual CommunitiesCode0
Neural Machine Translation for Mathematical Formulae—0
What about em? How Commercial Machine Translation Fails to Handle (Neo-)Pronouns—0
Cross-Lingual Knowledge Distillation for Answer Sentence Selection in Low-Resource Languages—0
MTCue: Learning Zero-Shot Control of Extra-Textual Attributes by Leveraging Unstructured Context in Neural Machine TranslationCode0
IndicTrans2: Towards High-Quality and Accessible Machine Translation Models for all 22 Scheduled Indian LanguagesCode2
Towards Higher Pareto Frontier in Multilingual Machine TranslationCode1
RAND: Robustness Aware Norm Decay For Quantized Seq2seq Models—0
Textless Speech-to-Speech Translation With Limited Parallel DataCode0
Leveraging GPT-4 for Automatic Translation Post-Editing—0
MuLER: Detailed and Scalable Reference-based Evaluation—0
Dolphin: A Challenging and Diverse Benchmark for Arabic NLG—0
A Survey of Diffusion Models in Natural Language Processing—0
CMOT: Cross-modal Mixup via Optimal Transport for Speech TranslationCode1
Not All Metrics Are Guilty: Improving NLG Evaluation by Diversifying ReferencesCode0
BigVideo: A Large-scale Video Subtitle Translation Dataset for Multimodal Machine TranslationCode1
CombLM: Adapting Black-Box Language Models through Small Fine-Tuned Models—0
Cascaded Beam Search: Plug-and-Play Terminology-Forcing For Neural Machine Translation—0
Language Model Self-improvement by Reinforcement Learning Contemplation—0
Sāmayik: A Benchmark and Dataset for English-Sanskrit TranslationCode1
TeCS: A Dataset and Benchmark for Tense Consistency of Machine TranslationCode0
Beyond Shared Vocabulary: Increasing Representational Word Similarities across Languages for Multilingual Machine TranslationCode0
Non-parametric, Nearest-neighbor-assisted Fine-tuning for Neural Machine Translation—0
Ties Matter: Meta-Evaluating Modern Metrics with Pairwise Accuracy and Tie CalibrationCode1
One-stop Training of Multiple Capacity Models—0
Condensing Multilingual Knowledge with Lightweight Language-Specific ModulesCode0
Multilingual Pixel Representations for Translation and Effective Cross-lingual Transfer—0
When Does Monolingual Data Help Multilingual Translation: The Role of Domain and Model Scale—0
Challenges in Context-Aware Neural Machine TranslationCode0
Target-Agnostic Gender-Aware Contrastive Learning for Mitigating Bias in Multilingual Machine TranslationCode0
Optimizing Non-Autoregressive Transformers with Contrastive Learning—0
Exploring Representational Disparities Between Multilingual and Bilingual Translation Models—0
Benchmarking Machine Translation with Cultural AwarenessCode0
WYWEB: A NLP Evaluation Benchmark For Classical ChineseCode1
Revisiting Machine Translation for Cross-lingual Classification—0
Improving speech translation by fusing speech and text—0
CTQScorer: Combining Multiple Features for In-context Example Selection for Machine TranslationCode0
Multilingual Large Language Models Are Not (Yet) Code-Switchers—0
Neural Machine Translation for Code Generation—0
Syntactic Knowledge via Graph Attention with BERT in Machine Translation—0
GATology for Linguistics: What Syntactic Dependencies It Knows—0
Decomposed Prompting for Machine Translation Between Related Languages using Large Language ModelsCode0
Non-Autoregressive Document-Level Machine TranslationCode0
Nearest Neighbor Machine Translation is Meta-Optimizer on Output Projection LayerCode0
Learning Optimal Policy for Simultaneous Machine Translation via Binary SearchCode0
Kanbun-LM: Reading and Translating Classical Chinese in Japanese Methods by Language ModelsCode1
Extrapolating Multilingual Understanding Models as Multilingual Generators—0
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All datasetsWMT2014 English-GermanWMT2014 English-FrenchIWSLT2014 German-EnglishACESWMT2016 English-RomanianWMT2016 Romanian-EnglishWMT2014 German-EnglishIWSLT2015 German-EnglishWMT2016 English-GermanIWSLT2015 English-VietnameseIWSLT2015 English-GermanWMT2016 German-English

Benchmark Results

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