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 4401–4450 of 10752 papers

TitleStatusHype
Transformer based Multilingual document Embedding model—0
BUT-FIT at SemEval-2020 Task 4: Multilingual commonsenseCode0
Compositional Generalization via Neural-Symbolic Stack Machines—0
Approaching Neural Chinese Word Segmentation as a Low-Resource Machine Translation Task—0
The Sockeye 2 Neural Machine Translation Toolkit at AMTA 2020—0
On Learning Language-Invariant Representations for Universal Machine Translation—0
Revisiting Low Resource Status of Indian Languages in Machine Translation—0
Subword Regularization: An Analysis of Scalability and Generalization for End-to-End Automatic Speech Recognition—0
Data Weighted Training Strategies for Grammatical Error Correction—0
Investigation of Speaker-adaptation methods in Transformer based ASR—0
A Survey of Orthographic Information in Machine Translation—0
Lanfrica: A Participatory Approach to Documenting Machine Translation Research on African Languages—0
On Learning Universal Representations Across Languages—0
Black-box Adversarial Sample Generation Based on Differential Evolution—0
Preparation of Sentiment tagged Parallel Corpus and Testing its effect on Machine Translation—0
A System for Worldwide COVID-19 Information Aggregation—0
TensorCoder: Dimension-Wise Attention via Tensor Representation for Natural Language Modeling—0
JUNLP@SemEval-2020 Task 9:Sentiment Analysis of Hindi-English code mixed data using Grid Search Cross Validation—0
SBAT: Video Captioning with Sparse Boundary-Aware Transformer—0
Neural Machine Translation with Error CorrectionCode0
Translation Between Waves, wave2wave—0
Voice@SRIB at SemEval-2020 Task 9 and 12: Stacked Ensembling method for Sentiment and Offensiveness detection in Social MediaCode0
Morphological Skip-Gram: Using morphological knowledge to improve word representation—0
Neural Machine Translation model for University Email Application—0
Task-Level Curriculum Learning for Non-Autoregressive Neural Machine Translation—0
Dual Past and Future for Neural Machine Translation—0
A Multilingual Parallel Corpora Collection Effort for Indian LanguagesCode0
Modeling Voting for System Combination in Machine TranslationCode0
Pragmatic information in translation: a corpus-based study of tense and mood in English and German—0
Temporally Correlated Task Scheduling for Sequence LearningCode0
Learning to Reweight with Deep Interactions—0
scb-mt-en-th-2020: A Large English-Thai Parallel Corpus—0
Relevance Transformer: Generating Concise Code Snippets with Relevance Feedback—0
Text Data Augmentation: Towards better detection of spear-phishing emails—0
El Departamento de Nosotros: How Machine Translated Corpora Affects Language Models in MRC TasksCode0
Reading Comprehension in Czech via Machine Translation and Cross-lingual Transfer—0
Combining Subword Representations into Word-level Representations in the Transformer Architecture—0
A Simple and Effective Unified Encoder for Document-Level Machine Translation—0
Towards Understanding ASR Error Correction for Medical Conversations—0
Flexible Non-Autoregressive Neural Machine Translation via Repositioning Edit Operations—0
Uncertainty-Aware Curriculum Learning for Neural Machine Translation—0
Metaphor Detection Using Contextual Word Embeddings From Transformers—0
Findings of the Fourth Workshop on Neural Generation and Translation—0
CLIReval: Evaluating Machine Translation as a Cross-Lingual Information Retrieval TaskCode0
Are we Estimating or Guesstimating Translation Quality?—0
FFR v1.1: Fon-French Neural Machine Translation—0
Towards Mitigating Gender Bias in a decoder-based Neural Machine Translation model by Adding Contextual Information—0
A Retrieve-and-Rewrite Initialization Method for Unsupervised Machine TranslationCode0
Multimodal Quality Estimation for Machine Translation—0
Checkpoint Reranking: An Approach to Select Better Hypothesis for Neural Machine Translation Systems—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