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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 2801–2850 of 10752 papers

TitleStatusHype
NVIDIA NeMo Offline Speech Translation Systems for IWSLT 2022—0
Online Semantic Parsing for Latency Reduction in Task-Oriented Dialogue—0
The HW-TSC’s Offline Speech Translation System for IWSLT 2022 Evaluation—0
The HW-TSC’s Speech to Speech Translation System for IWSLT 2022 Evaluation—0
Two New Datasets for Italian-Language Abstractive Text SummarizationCode0
How Robust is Neural Machine Translation to Language Imbalance in Multilingual Tokenizer Training?—0
Attention Mechanism with Energy-Friendly OperationsCode0
Data-Driven Adaptive Simultaneous Machine Translation—0
Flow-Adapter Architecture for Unsupervised Machine Translation—0
Efficient Machine Translation Domain AdaptationCode0
When do Contrastive Word Alignments Improve Many-to-many Neural Machine Translation?—0
DaLC: Domain Adaptation Learning Curve Prediction for Neural Machine Translation—0
ProTranslator: zero-shot protein function prediction using textual description—0
Generating Authentic Adversarial Examples beyond Meaning-preserving with Doubly Round-trip TranslationCode0
Building Odia Shallow ParserCode0
PICT@DravidianLangTech-ACL2022: Neural Machine Translation On Dravidian Languages—0
Dynamic Position Encoding for Transformers—0
BLISS: Robust Sequence-to-Sequence Learning via Self-Supervised Input Representation—0
EHRKit: A Python Natural Language Processing Toolkit for Electronic Health Record Texts—0
Efficient Cluster-Based k-Nearest-Neighbor Machine TranslationCode0
Creativity in translation: machine translation as a constraint for literary texts—0
Using Linguistic Typology to Enrich Multilingual Lexicons: the Case of Lexical Gaps in KinshipCode0
Uniform Complexity for Text GenerationCode0
Toward More Effective Human Evaluation for Machine Translation—0
A Token-level Contrastive Framework for Sign Language TranslationCode0
C-NMT: A Collaborative Inference Framework for Neural Machine Translation—0
PharmMT: A Neural Machine Translation Approach to Simplify Prescription Directions—0
Advancing Semi-Supervised Learning for Automatic Post-Editing: Data-Synthesis by Mask-Infilling with Erroneous Terms—0
Enhanced Direct Speech-to-Speech Translation Using Self-supervised Pre-training and Data Augmentation—0
Quick Starting Dialog Systems with Paraphrase Generation—0
Parameter-Efficient Neural Reranking for Cross-Lingual and Multilingual RetrievalCode0
Spatio-Temporal Analysis of Transformer based Architecture for Attention Estimation from EEG—0
Accurate Online Posterior Alignments for Principled Lexically-Constrained Decoding—0
Uncertainty Determines the Adequacy of the Mode and the Tractability of Decoding in Sequence-to-Sequence Models—0
DePA: Improving Non-autoregressive Machine Translation with Dependency-Aware DecoderCode0
Reproducibility Issues for BERT-based Evaluation MetricsCode0
Can NMT Understand Me? Towards Perturbation-based Evaluation of NMT Models for Code Generation—0
An Evaluation Dataset for Legal Word Embedding: A Case Study On Chinese CodexCode0
Investigating Data Variance in Evaluations of Automatic Machine Translation Metrics—0
Visualizing the Relationship Between Encoded Linguistic Information and Task Performance—0
On Decoding Strategies for Neural Text Generators—0
A Roadmap for Big Model—0
Modeling Target-Side Morphology in Neural Machine Translation: A Comparison of Strategies—0
Data Selection Curriculum for Neural Machine Translation—0
Single Model Ensemble for Subword Regularized Models in Low-Resource Machine Translation—0
Multilingual CheckList: Generation and Evaluation—0
SMARAGD: Learning SMatch for Accurate and Rapid Approximate Graph DistanceCode0
Linearizing Transformer with Key-Value Memory—0
Small Batch Sizes Improve Training of Low-Resource Neural MT—0
Mitigating Gender Bias in Machine Translation through Adversarial Learning—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