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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 4051–4100 of 10752 papers

TitleStatusHype
Machine Translation of Mathematical Text—0
Lexically Cohesive Neural Machine Translation with Copy Mechanism—0
Neural Machine Translation Doesn't Translate Gender Coreference Right Unless You Make ItCode0
Automated Prediction of Medieval Arabic Diacritics—0
Localizing Open-Ontology QA Semantic Parsers in a Day Using Machine TranslationCode0
On Long-Tailed Phenomena in Neural Machine TranslationCode1
ChrEn: Cherokee-English Machine Translation for Endangered Language RevitalizationCode1
Self-Paced Learning for Neural Machine TranslationCode0
Dynamic Context Selection for Document-level Neural Machine Translation via Reinforcement Learning—0
Uncertainty-Aware Semantic Augmentation for Neural Machine Translation—0
Word Level Language Identification in English Telugu Code Mixed Data—0
Mark-Evaluate: Assessing Language Generation using Population Estimation Methods—0
Token-level Adaptive Training for Neural Machine TranslationCode1
MLQE-PE: A Multilingual Quality Estimation and Post-Editing DatasetCode1
Leveraging Discourse Rewards for Document-Level Neural Machine Translation—0
Learning to Evaluate Translation Beyond English: BLEURT Submissions to the WMT Metrics 2020 Shared Task—0
Shallow-to-Deep Training for Neural Machine TranslationCode1
Transformer-GCRF: Recovering Chinese Dropped Pronouns with General Conditional Random FieldsCode0
Dual Reconstruction: a Unifying Objective for Semi-Supervised Neural Machine Translation—0
WikiLingua: A New Benchmark Dataset for Cross-Lingual Abstractive SummarizationCode1
TeaForN: Teacher-Forcing with N-grams—0
Pre-training Multilingual Neural Machine Translation by Leveraging Alignment InformationCode1
Vector-Vector-Matrix Architecture: A Novel Hardware-Aware Framework for Low-Latency Inference in NLP Applications—0
If beam search is the answer, what was the question?Code1
Scene Graph Modification Based on Natural Language CommandsCode0
Why Skip If You Can Combine: A Simple Knowledge Distillation Technique for Intermediate LayersCode0
Multi-task Learning for Multilingual Neural Machine Translation—0
Efficient Inference For Neural Machine Translation—0
An Exploration of Arbitrary-Order Sequence Labeling via Energy-Based Inference NetworksCode0
Adversarial Grammatical Error Correction—0
An Empirical Study of Tokenization Strategies for Various Korean NLP TasksCode1
On the Sparsity of Neural Machine Translation Models—0
Data Rejuvenation: Exploiting Inactive Training Examples for Neural Machine TranslationCode1
On the Sub-Layer Functionalities of Transformer Decoder—0
Converting the Point of View of Messages Spoken to Virtual AssistantsCode0
Inference Strategies for Machine Translation with Conditional Masking—0
Participatory Research for Low-resourced Machine Translation: A Case Study in African LanguagesCode1
We Don't Speak the Same Language: Interpreting Polarization through Machine TranslationCode0
Improving AMR Parsing with Sequence-to-Sequence Pre-trainingCode1
X-SRL: A Parallel Cross-Lingual Semantic Role Labeling DatasetCode1
A Streaming Approach For Efficient Batched Beam SearchCode1
Improving Target-side Lexical Transfer in Multilingual Neural Machine Translation—0
Leveraging Multilingual News Websites for Building a Kurdish Parallel CorpusCode1
UNISON: Unpaired Cross-lingual Image Captioning—0
Syntax Representation in Word Embeddings and Neural Networks -- A Survey—0
层次化结构全局上下文增强的篇章级神经机器翻译(Hierarchical Global Context Augmented Document-level Neural Machine Translation)—0
“细粒度英汉机器翻译错误分析语料库”的构建与思考(Construction of Fine-Grained Error Analysis Corpus of English-Chinese Machine Translation and Its Implications)—0
Improving Sentence Classification by Multilingual Data Augmentation and Consensus Learning—0
A Mixed Learning Objective for Neural Machine Translation—0
Constructing Uyghur Name Entity Recognition System using Neural Machine Translation Tag Projection—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