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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 2851–2900 of 10752 papers

TitleStatusHype
BIOS: An Algorithmically Generated Biomedical Knowledge Graph—0
Triangular Transfer: Freezing the Pivot for Triangular Machine Translation—0
An Imitation Learning Curriculum for Text Editing with Non-Autoregressive Models—0
Reducing Position Bias in Simultaneous Machine Translation with Length-Aware Framework—0
Universal Conditional Masked Language Pre-training for Neural Machine Translation—0
Graph Neural Networks for Multiparallel Word Alignment—0
BPE vs. Morphological Segmentation: A Case Study on Machine Translation of Four Polysynthetic Languages—0
Pre-Trained Multilingual Sequence-to-Sequence Models: A Hope for Low-Resource Language Translation?—0
Understanding and Improving Sequence-to-Sequence Pretraining for Neural Machine Translation—0
Multilingual Mix: Example Interpolation Improves Multilingual Neural Machine Translation—0
Better Quality Estimation for Low Resource Corpus Mining—0
A Bayesian approach to translators' reliability assessment—0
Low-Rank Softmax Can Have Unargmaxable Classes in Theory but Rarely in PracticeCode0
A new approach to calculating BERTScore for automatic assessment of translation quality—0
Faithfulness in Natural Language Generation: A Systematic Survey of Analysis, Evaluation and Optimization Methods—0
IndicNLG Benchmark: Multilingual Datasets for Diverse NLG Tasks in Indic Languages—0
Look Backward and Forward: Self-Knowledge Distillation with Bidirectional Decoder for Neural Machine Translation—0
Onception: Active Learning with Expert Advice for Real World Machine TranslationCode0
Unsupervised Alignment of Distributional Word Embeddings—0
Creating Speech-to-Speech Corpus from Dubbed SeriesCode0
A Survey of Implicit Discourse Relation Recognition—0
From Simultaneous to Streaming Machine Translation by Leveraging Streaming History—0
EAG: Extract and Generate Multi-way Aligned Corpus for Complete Multi-lingual Neural Machine Translation—0
Continuous Rating as Reliable Human Evaluation of Simultaneous Speech Translation—0
Deep Latent-Variable Models for Text Generation—0
RMBR: A Regularized Minimum Bayes Risk Reranking Framework for Machine Translation—0
LCP-dropout: Compression-based Multiple Subword Segmentation for Neural Machine Translation—0
Confidence Based Bidirectional Global Context Aware Training Framework for Neural Machine Translation—0
OCR Improves Machine Translation for Low-Resource Languages—0
Screening Gender Transfer in Neural Machine Translation—0
The Reality of Multi-Lingual Machine Translation—0
Accelerating Neural Architecture Exploration Across Modalities Using Genetic Algorithms—0
JParaCrawl v3.0: A Large-scale English-Japanese Parallel Corpus—0
Overcoming a Theoretical Limitation of Self-AttentionCode0
Using natural language prompts for machine translation—0
Refining the state-of-the-art in Machine Translation, optimizing NMT for the JA <-> EN language pair by leveraging personal domain expertise—0
Learning to Combine Instructions in LLVM Compiler—0
An Overview on Machine Translation Evaluation—0
Domain Adaptation in Neural Machine Translation using a Qualia-Enriched FrameNet—0
CALCS 2021 Shared Task: Machine Translation for Code-Switched Data—0
Improving English to Sinhala Neural Machine Translation using Part-of-Speech Tag—0
End-to-End Training for Back-Translation with Categorical Reparameterization TrickCode0
EdgeFormer: A Parameter-Efficient Transformer for On-Device Seq2seq Generation—0
Sequence-to-Sequence Resources for CatalanCode0
Saving RNN Computations with a Neuron-Level Fuzzy Memoization Scheme—0
USTED: Improving ASR with a Unified Speech and Text Encoder-Decoder—0
Evaluating MT Systems: A Theoretical Framework—0
Identifying Weaknesses in Machine Translation Metrics Through Minimum Bayes Risk Decoding: A Case Study for COMETCode0
Survey of Hallucination in Natural Language Generation—0
Machine Translation from Signed to Spoken Languages: State of the Art and Challenges—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