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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 2601–2650 of 10752 papers

TitleStatusHype
As Little as Possible, as Much as Necessary: Detecting Over- and Undertranslations with Contrastive Conditioning—0
WeTS: A Benchmark for Translation Suggestion—0
OneAligner: Zero-shot Cross-lingual Transfer with One Rich-Resource Language Pair for Low-Resource Sentence Retrieval—0
Enhancing Neural Machine Translation with Syntactic Ambiguities—0
Accurate Online Posterior Alignments for Principled Lexically-Constrained Decoding—0
Multi-Stage Framework with Refinement based Point Set Registration for Unsupervised Bi-Lingual Word Alignment—0
Unified NMT models for the Indian subcontinent transcending script-barriers—0
Low rank softmax can have unargmaxable classes in theory but rarely in practice—0
NVIDIA NeMo Neural Machine Translation Systems for English-German and English-Russian News and Biomedical Tasks at WMT21—0
Neural Class Expression SynthesisCode0
Measuring Uncertainty in Translation Quality Evaluation (TQE)—0
DEEP: DEnoising Entity Pre-training for Neural Machine Translation—0
Sign Language Translation with Hierarchical Spatio-TemporalGraph Neural Network—0
Can neural networks predict dynamics they have never seen?—0
Speeding Up EntmaxCode0
BitextEdit: Automatic Bitext Editing for Improved Low-Resource Machine Translation—0
Variance-Aware Machine Translation Test SetsCode0
Developing neural machine translation models for Hungarian-English—0
Analyzing Architectures for Neural Machine Translation Using Low Computational Resources—0
Oracle Teacher: Leveraging Target Information for Better Knowledge Distillation of CTC Models—0
A Syntax-Guided Grammatical Error Correction Model with Dependency Tree Correction—0
Reducing the impact of out of vocabulary words in the translation of natural language questions into SPARQL queries—0
Contextual Semantic Parsing for Multilingual Task-Oriented DialoguesCode1
Multilingual Machine Translation Systems from Microsoft for WMT21 Shared Task—0
Lingua Custodia's participation at the WMT 2021 Machine Translation using Terminologies shared task—0
UQuAD1.0: Development of an Urdu Question Answering Training Data for Machine Reading Comprehension—0
Zero-Shot Translation using Diffusion Models—0
NoahNMT at WMT 2021: Dual Transfer for Very Low Resource Supervised Machine Translation—0
Quality Estimation Using Dual Encoders with Transfer Learning—0
Huawei AARC’s Submissions to the WMT21 Biomedical Translation Task: Domain Adaption from a Practical Perspective—0
To Optimize, or Not to Optimize, That Is the Question: TelU-KU Models for WMT21 Large-Scale Multilingual Machine Translation—0
Adapting Neural Machine Translation for Automatic Post-Editing—0
Tune in: The AFRL WMT21 News-Translation Systems—0
ISTIC’s Triangular Machine Translation System for WMT2021—0
Linguistic Evaluation for the 2021 State-of-the-art Machine Translation Systems for German to English and English to German—0
Findings of the WMT 2021 Shared Task on Quality Estimation—0
MTEQA at WMT21 Metrics Shared Task—0
Similar Language Translation for Catalan, Portuguese and Spanish Using Marian NMT—0
Findings of the 2021 Conference on Machine Translation (WMT21)—0
DELA Corpus - A Document-Level Corpus Annotated with Context-Related IssuesCode0
Low Resource Similar Language Neural Machine Translation for Tamil-Telugu—0
Just Ask! Evaluating Machine Translation by Asking and Answering QuestionsCode0
Kakao Enterprise’s WMT21 Machine Translation Using Terminologies Task Submission—0
Neural Machine Translation for Tamil–Telugu Pair—0
On the Stability of System Rankings at WMTCode0
Netmarble AI Center’s WMT21 Automatic Post-Editing Shared Task Submission—0
GTCOM Neural Machine Translation Systems for WMT21—0
A3-108 Machine Translation System for Similar Language Translation Shared Task 2021—0
Findings of the WMT Shared Task on Machine Translation Using Terminologies—0
Improving Machine Translation of Rare and Unseen Word Senses—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