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 8801–8850 of 10752 papers

TitleStatusHype
Noisy Parallel Corpus Filtering through Projected Word Embeddings—0
No more beating about the bush : A Step towards Idiom Handling for Indian Language NLP—0
Non-Autoregressive Image Captioning with Counterfactuals-Critical Multi-Agent Learning—0
Non-Autoregressive Machine Translation: It's Not as Fast as it Seems—0
Non-Autoregressive Machine Translation: It’s Not as Fast as it Seems—0
Non-Autoregressive Machine Translation: It's Not as Fast as it Seems—0
Non-Autoregressive Machine Translation with Auxiliary Regularization—0
Non-Autoregressive Models are Better Multilingual Translators—0
Non-Autoregressive Neural Machine Translation with Enhanced Decoder Input—0
Non-Autoregressive Neural Machine Translation with Consistency Regularization Optimized Variational Framework—0
Non-Autoregressive Neural Machine Translation: A Call for Clarity—0
Non-Autoregressive Neural Machine Translation with Consistency Regularization Optimized Variational Framework—0
Listen and Fill in the Missing Letters: Non-Autoregressive Transformer for Speech Recognition—0
Non-autoregressive Transformer by Position Learning—0
Non-Euclidean Hierarchical Representational Learning using Hyperbolic Graph Neural Networks for Environmental Claim Detection—0
Non-linear Learning for Statistical Machine Translation—0
Non-Linear Models for Confidence Estimation—0
Non-linear recursive grammar for Sign languages (Grammaire r\'ecursive non lin\'eaire pour les langues des signes) [in French]—0
Non-Monotonic Attention-based Read/Write Policy Learning for Simultaneous Translation—0
Non-Monotonic Sentence Alignment via Semisupervised Learning—0
Non-Parametric Adaptation for Neural Machine Translation—0
Nonparametric Bayesian Semi-supervised Word Segmentation—0
Non-parametric, Nearest-neighbor-assisted Fine-tuning for Neural Machine Translation—0
Non-projective Dependency-based Pre-Reordering with Recurrent Neural Network for Machine Translation—0
Normalizador de Texto para Lingua Portuguesa baseado em Modelo de Linguagem (A Normalizer based on Language Model for Texts in Portuguese)[In Portuguese]—0
Normalization of Dutch User-Generated Content—0
Normalization of Input-output Shared Embeddings in Text Generation Models—0
Normalized and Geometry-Aware Self-Attention Network for Image Captioning—0
Normalizing Early English Letters to Present-day English Spelling—0
Normalizing Medieval German Texts: from rules to deep learning—0
Normalizing Non-canonical Turkish Texts Using Machine Translation Approaches—0
Normalizing tweets with edit scripts and recurrent neural embeddings—0
NORMA: Neighborhood Sensitive Maps for Multilingual Word Embeddings—0
NORMAS at SemEval-2016 Task 1: SEMSIM: A Multi-Feature Approach to Semantic Text Similarity—0
North-S\'ami to Finnish rule-based machine translation system—0
Not All Contexts Are Created Equal: Better Word Representations with Variable Attention—0
Not All Neural Embeddings are Born Equal—0
Not an Interlingua, But Close: Comparison of English AMRs to Chinese and Czech—0
Novel Applications of Factored Neural Machine Translation—0
Novel Document Level Features for Statistical Machine Translation—0
NRC: A Machine Translation Approach to Cross-Lingual Word Sense Disambiguation (SemEval-2013 Task 10)—0
NRC-CNRC Machine Translation Systems for the 2021 AmericasNLP Shared Task—0
NRC-CNRC Systems for Upper Sorbian-German and Lower Sorbian-German Machine Translation 2021—0
NRC Machine Translation System for WMT 2017—0
NRC Parallel Corpus Filtering System for WMT 2019—0
NRC Russian-English Machine Translation System for WMT 2016—0
NRC Systems for Low Resource German-Upper Sorbian Machine Translation 2020: Transfer Learning with Lexical Modifications—0
NRC Systems for the 2020 Inuktitut-English News Translation Task—0
NSOAMT -- New Search Only Approach to Machine Translation—0
NTT Neural Machine Translation Systems at WAT 2017—0
Show:102550
← PrevPage 177 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