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 3101–3150 of 10752 papers

TitleStatusHype
Continuous Language Generative FlowCode1
Continual Quality Estimation with Online Bayesian Meta-Learning—0
Fast and Accurate Neural Machine Translation with Translation Memory—0
Multi-Head Highly Parallelized LSTM Decoder for Neural Machine Translation—0
nmT5 - Is parallel data still relevant for pre-training massively multilingual language models?—0
SkoltechNLP at SemEval-2021 Task 2: Generating Cross-Lingual Training Data for the Word-in-Context Task—0
GX at SemEval-2021 Task 2: BERT with Lemma Information for MCL-WiC TaskCode0
ChrEnTranslate: Cherokee-English Machine Translation Demo with Quality Estimation and Corrective FeedbackCode1
Difficulty-Aware Machine Translation EvaluationCode0
Using Perturbed Length-aware Positional Encoding for Non-autoregressive Neural Machine Translation—0
The Cross-Lingual Arabic Information REtrieval (CLAIRE) System—0
Cross-lingual Transferring of Pre-trained Contextualized Language Models—0
Revisiting Negation in Neural Machine TranslationCode0
MDQE: A More Accurate Direct Pretraining for Machine Translation Quality Estimation—0
Extending Challenge Sets to Uncover Gender Bias in Machine Translation: Impact of Stereotypical Verbs and Adjectives—0
Modeling Bilingual Conversational Characteristics for Neural Chat TranslationCode1
Modelling Latent Translations for Cross-Lingual TransferCode1
Tsformer: Time series Transformer for tourism demand forecasting—0
To Ship or Not to Ship: An Extensive Evaluation of Automatic Metrics for Machine TranslationCode1
Confidence-Aware Scheduled Sampling for Neural Machine TranslationCode0
More Parameters? No Thanks!Code0
What Do You Get When You Cross Beam Search with Nucleus Sampling?—0
Residual Tree Aggregation of Layers for Neural Machine Translation—0
Integrating Unsupervised Data Generation into Self-Supervised Neural Machine Translation for Low-Resource Languages—0
As Easy as 1, 2, 3: Behavioural Testing of NMT Systems for Numerical TranslationCode0
How to Do Human Evaluation: Best Practices for User Studies in NLP—0
Synthetic Data Generation and Joint Learning for Robust Code-Mixed Translation—0
Dynamic Transformer for Efficient Machine Translation on Embedded Devices—0
On the Copying Behaviors of Pre-Training for Neural Machine TranslationCode0
Efficient automated U-Net based tree crown delineation using UAV multi-spectral imagery on embedded devices—0
Picard understanding Darmok: A Dataset and Model for Metaphor-Rich Translation in a Constructed LanguageCode1
Shifts: A Dataset of Real Distributional Shift Across Multiple Large-Scale TasksCode1
From Machine Translation to Code-Switching: Generating High-Quality Code-Switched TextCode0
Importance-based Neuron Allocation for Multilingual Neural Machine TranslationCode1
Surgical Instruction Generation with TransformersCode1
Generating Gender Augmented Data for NLP—0
On the Difficulty of Translating Free-Order Case-Marking LanguagesCode0
The IWSLT 2021 BUT Speech Translation Systems—0
Zero-shot Speech Translation—0
Putting words into the system's mouth: A targeted attack on neural machine translation using monolingual data poisoningCode0
Using Machine Translation to Localize Task Oriented NLG Output—0
A Survey on Low-Resource Neural Machine Translation—0
Using CollGram to Compare Formulaic Language in Human and Neural Machine Translation—0
Question Answering over Knowledge Graphs with Neural Machine Translation and Entity Linking—0
IITP at WAT 2021: System description for English-Hindi Multimodal Translation Task—0
Can Transformers Jump Around Right in Natural Language? Assessing Performance Transfer from SCAN—0
Using CollGram to Compare Formulaic Language in Human and Machine Translation—0
Interactive Models for Post-Editing—0
Integration of Machine Translation and Translation Memory: Post-Editing Efforts—0
Building a Corpus for Corporate Websites Machine Translation Evaluation. A Step by Step Methodological Approach—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