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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 3801–3850 of 10752 papers

TitleStatusHype
Inference-only sub-character decomposition improves translation of unseen logographic characters—0
How to Measure Gender Bias in Machine Translation: Optimal Translators, Multiple Reference Points—0
Incorporating a Local Translation Mechanism into Non-autoregressive TranslationCode0
From Unsupervised Machine Translation To Adversarial Text Generation—0
Simultaneous Speech-to-Speech Translation System with Neural Incremental ASR, MT, and TTS—0
Neural Machine Translation for Extremely Low-Resource African Languages: A Case Study on Bambara—0
Neural Architecture Search with an Efficient Multiobjective Evolutionary Framework—0
BERT-JAM: Boosting BERT-Enhanced Neural Machine Translation with Joint Attention—0
Template Controllable keywords-to-text Generation—0
AlphaMWE: Construction of Multilingual Parallel Corpora with MWE AnnotationsCode0
Semi-Supervised Low-Resource Style Transfer of Indonesian Informal to Formal Language with Iterative Forward-TranslationCode1
Unleashing the Power of Neural Discourse Parsers -- A Context and Structure Aware Approach Using Large Scale Pretraining—0
Understanding Pure Character-Based Neural Machine Translation: The Case of Translating Finnish into English—0
An Unsupervised method for OCR Post-Correction and Spelling Normalisation for FinnishCode1
Detecting Hallucinated Content in Conditional Neural Sequence GenerationCode1
Data Augmentation and Terminology Integration for Domain-Specific Sinhala-English-Tamil Statistical Machine Translation—0
PheMT: A Phenomenon-wise Dataset for Machine Translation Robustness on User-Generated ContentsCode1
MK-SQuIT: Synthesizing Questions using Iterative Template-fillingCode1
Optimizing Transformer for Low-Resource Neural Machine Translation—0
Cross-Lingual Machine Speech Chain for Javanese, Sundanese, Balinese, and Bataks Speech Recognition and Synthesis—0
Double Attention-based Multimodal Neural Machine Translation with Semantic Image RegionsCode0
Streaming Attention-Based Models with Augmented Memory for End-to-End Speech Recognition—0
Topic-Centric Unsupervised Multi-Document Summarization of Scientific and News Articles—0
Detecting Word Sense Disambiguation Biases in Machine Translation for Model-Agnostic Adversarial AttacksCode0
Cross-lingual Word Embeddings beyond Zero-shot Machine Translation—0
Layer-Wise Multi-View Learning for Neural Machine Translation—0
Subword Segmentation and a Single Bridge Language Affect Zero-Shot Neural Machine Translation—0
Enabling Zero-shot Multilingual Spoken Language Translation with Language-Specific Encoders and Decoders—0
Emergent Communication Pretraining for Few-Shot Machine TranslationCode1
The 2020s Political Economy of Machine Translation—0
An Empirical Study of Contextual Data Augmentation for Japanese Zero Anaphora Resolution—0
Investigating Catastrophic Forgetting During Continual Training for Neural Machine Translation—0
A Targeted Attack on Black-Box Neural Machine Translation with Parallel Data Poisoning—0
Combining Sequence Distillation and Transfer Learning for Efficient Low-Resource Neural Machine Translation Models—0
Combination of Neural Machine Translation Systems at WMT20—0
Alibaba Submission to the WMT20 Parallel Corpus Filtering Task—0
Low-Resource Translation as Language Modeling—0
Alibaba’s Submission for the WMT 2020 APE Shared Task: Improving Automatic Post-Editing with Pre-trained Conditional Cross-Lingual BERT—0
The NiuTrans Machine Translation Systems for WMT20—0
Pretrained Language Models and Backtranslation for English-Basque Biomedical Neural Machine Translation—0
Filtering Noisy Parallel Corpus using Transformers with Proxy Task LearningCode1
Extended Study on Using Pretrained Language Models and YiSi-1 for Machine Translation Evaluation—0
NICT Kyoto Submission for the WMT’20 Quality Estimation Task: Intermediate Training for Domain and Task Adaptation—0
IST-Unbabel Participation in the WMT20 Quality Estimation Shared Task—0
UoS Participation in the WMT20 Translation of Biomedical Abstracts—0
Russian-English Bidirectional Machine Translation System—0
Tencent submission for WMT20 Quality Estimation Shared Task—0
The University of Maryland’s Submissions to the WMT20 Chat Translation Task: Searching for More Data to Adapt Discourse-Aware Neural Machine Translation—0
Evaluation of Machine Translation Methods applied to Medical Terminologies—0
Neural Machine Translation for Similar Languages: The Case of Indo-Aryan Languages—0
Show:102550
← PrevPage 77 of 216Next →
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