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 1901–1950 of 10752 papers

TitleStatusHype
Robust Translation of French Live Speech Transcripts—0
Improving Translation of Out Of Vocabulary Words using Bilingual Lexicon Induction in Low-Resource Machine Translation—0
Low Resource Chat Translation: A Benchmark for Hindi–English Language PairCode0
Limitations and Challenges of Unsupervised Cross-lingual Pre-training—0
Knowledge Distillation for Sustainable Neural Machine Translation—0
Improve MT for Search with Selected Translation Memory using Search Signals—0
Embedding-Enhanced GIZA++: Improving Low-Resource Word Alignment Using Embeddings—0
A Comparison of Data Filtering Methods for Neural Machine Translation—0
On the Effectiveness of Quasi Character-Level Models for Machine Translation—0
You’ve translated it, now what?—0
All You Need is Source! A Study on Source-based Quality Estimation for Neural Machine Translation—0
Building an Extremely Low Resource Language to High Resource Language Machine Translation System from ScratchCode0
MultiCoNER: A Large-scale Multilingual dataset for Complex Named Entity Recognition—0
Cross-Lingual Cross-Modal Retrieval with Noise-Robust LearningCode1
Nearest Neighbor Non-autoregressive Text Generation—0
Kencorpus: A Kenyan Language Corpus of Swahili, Dholuo and Luhya for Natural Language Processing Tasks—0
MuMUR : Multilingual Multimodal Universal Retrieval—0
Discourse Cohesion Evaluation for Document-Level Neural Machine Translation—0
A Computational Interface to Translate Strategic Intent from Unstructured Language in a Low-Data SettingCode0
The Conversational Short-phrase Speaker Diarization (CSSD) Task: Dataset, Evaluation Metric and BaselinesCode1
BERT(s) to Detect Multiword Expressions—0
Fast Vocabulary Projection Method via Clustering for Multilingual Machine Translation on GPU—0
Domain-Specific Text Generation for Machine TranslationCode1
Structural Biases for Improving Transformers on Translation into Morphologically Rich Languages—0
How Effective is Byte Pair Encoding for Out-Of-Vocabulary Words in Neural Machine Translation?—0
Looking for a Needle in a Haystack: A Comprehensive Study of Hallucinations in Neural Machine TranslationCode1
Model Blending for Text Classification—0
Out of the BLEU: how should we assess quality of the Code Generation models?Code1
AlexaTM 20B: Few-Shot Learning Using a Large-Scale Multilingual Seq2Seq ModelCode2
Momentum Transformer: Closing the Performance Gap Between Self-attention and Its Linearization—0
Neural Knowledge Bank for Pretrained Transformers—0
Mismatching-Aware Unsupervised Translation Quality Estimation For Low-Resource LanguagesCode0
Thutmose Tagger: Single-pass neural model for Inverse Text Normalization—0
GTrans: Grouping and Fusing Transformer Layers for Neural Machine TranslationCode0
Benchmarking Azerbaijani Neural Machine Translation—0
Sequence to sequence pretraining for a less-resourced Slovenian languageCode0
Neural Architecture Search on Efficient Transformers and Beyond—0
Multimodal Neural Machine Translation with Search Engine Based Image Retrieval—0
Lagrangian Method for Q-Function Learning (with Applications to Machine Translation)—0
MoEC: Mixture of Expert Clusters—0
MAD for Robust Reinforcement Learning in Machine Translation—0
Forming Trees with Treeformers—0
Open Terminology Management and Sharing Toolkit for Federation of Terminology Databases—0
Sockeye 3: Fast Neural Machine Translation with PyTorch—0
No Language Left Behind: Scaling Human-Centered Machine TranslationCode2
HLT-MT: High-resource Language-specific Training for Multilingual Neural Machine TranslationCode0
UM4: Unified Multilingual Multiple Teacher-Student Model for Zero-Resource Neural Machine TranslationCode0
A Study of Syntactic Multi-Modality in Non-Autoregressive Machine Translation—0
A Survey of Task-Based Machine Learning Content Extraction Services for VIDINT—0
Part-of-Speech Tagging of Odia Language Using statistical and Deep Learning-Based Approaches—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