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 4551–4600 of 10752 papers

TitleStatusHype
Building a Swedish Question-Answering ModelCode0
Unsupervised Word Translation with Adversarial Autoencoder—0
Online Versus Offline NMT Quality: An In-depth Analysis on English-German and German-EnglishCode0
A Systematic Study of Inner-Attention-Based Sentence Representations in Multilingual Neural Machine Translation—0
Is 42 the Answer to Everything in Subtitling-oriented Speech Translation?—0
A Survey on Transfer Learning in Natural Language Processing—0
Dynamic Masking for Improved Stability in Spoken Language Translation—0
Data Augmentation with Unsupervised Machine Translation Improves the Structural Similarity of Cross-lingual Word Embeddings—0
Design and Implementation of a Virtual 3D Educational Environment to improve Deaf Education—0
Training Multilingual Machine Translation by Alternately Freezing Language-Specific Encoders-Decoders—0
Neural Simultaneous Speech Translation Using Alignment-Based Chunking—0
Variational Neural Machine Translation with Normalizing Flows—0
MT-Adapted Datasheets for Datasets: Template and Repository—0
Phone Features Improve Speech TranslationCode0
The Unreasonable Volatility of Neural Machine Translation ModelsCode0
A review of sentiment analysis research in Arabic language—0
Character-level Transformer-based Neural Machine Translation—0
Simplify-then-Translate: Automatic Preprocessing for Black-Box Machine Translation—0
MultiMWE: Building a Multi-lingual Multi-Word Expression (MWE) Parallel CorporaCode0
Towards Finite-State Morphology of Kurdish—0
Is MAP Decoding All You Need? The Inadequacy of the Mode in Neural Machine Translation—0
NEJM-enzh: A Parallel Corpus for English-Chinese Translation in the Biomedical Domain—0
Efficient Wait-k Models for Simultaneous Machine TranslationCode0
Grammatical gender associations outweigh topical gender bias in crosslinguistic word embeddingsCode0
Encodings of Source Syntax: Similarities in NMT Representations Across Target Languages—0
Dual Learning: Theoretical Study and an Algorithmic Extension—0
Spike-Triggered Non-Autoregressive Transformer for End-to-End Speech Recognition—0
Rethinking and Improving Natural Language Generation with Layer-Wise Multi-View Decoding—0
A Novel Fusion of Attention and Sequence to Sequence Autoencoders to Predict Sleepiness From SpeechCode0
Parallel Corpus Filtering via Pre-trained Language Models—0
A Mixture of h-1 Heads is Better than h Heads—0
A Framework for Hierarchical Multilingual Machine Translation—0
DiscreTalk: Text-to-Speech as a Machine Translation Problem—0
Reassessing Claims of Human Parity and Super-Human Performance in Machine Translation at WMT 2019Code0
Neural Polysynthetic Language Modelling—0
Leveraging Monolingual Data with Self-Supervision for Multilingual Neural Machine Translation—0
Hierarchical Attention Transformer Architecture For Syntactic Spell Correction—0
Non-Autoregressive Image Captioning with Counterfactuals-Critical Multi-Agent Learning—0
Neural Machine Translation for South Africa's Official Languages—0
Learning to Detect Unacceptable Machine Translations for Downstream Tasks—0
Unsupervised Multimodal Neural Machine Translation with Pseudo Visual Pivoting—0
Evaluating Explanation Methods for Neural Machine Translation—0
Using Context in Neural Machine Translation Training Objectives—0
Practical Perspectives on Quality Estimation for Machine Translation—0
Improving Non-autoregressive Neural Machine Translation with Monolingual Data—0
A Comprehensive Survey of Grammar Error Correction—0
Towards a Spell Checker for Zamboanga Chavacano Orthography—0
FrameNet Annotations Alignment using Attention-based Machine Translation—0
Frame-Based Annotation of Multimodal Corpora: Tracking (A)Synchronies in Meaning Construction—0
Utterance-Unit Annotation for the JSL Dialogue Corpus: Toward a Multimodal Approach to Corpus Linguistics—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