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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 3601–3650 of 10752 papers

TitleStatusHype
A Discussion on Building Practical NLP Leaderboards: The Case of Machine Translation—0
Zero-Shot Controlled Generation with Encoder-Decoder Transformers—0
Assessing the Effectiveness of Syntactic Structure to Learn Code Edit RepresentationsCode0
Exploring Unsupervised Pretraining Objectives for Machine TranslationCode0
Input Augmentation Improves Constrained Beam Search for Neural Machine Translation: NTT at WAT 2021—0
TASK AWARE MULTI-TASK LEARNING FOR SPEECH TO TEXT TASKS—0
Bayesian Attention Belief Networks—0
AUGVIC: Exploiting BiText Vicinity for Low-Resource NMT—0
Crosslingual Embeddings are Essential in UNMT for Distant Languages: An English to IndoAryan Case Study—0
Self-supervised and Supervised Joint Training for Resource-rich Machine Translation—0
Encouraging Neural Machine Translation to Satisfy Terminology Constraints—0
Multilingual Neural Semantic Parsing for Low-Resourced LanguagesCode0
On the Language Coverage Bias for Neural Machine Translation—0
Itihasa: A large-scale corpus for Sanskrit to English translation—0
Exposing the Implicit Energy Networks behind Masked Language Models via Metropolis--Hastings—0
Meaning Representation of Numeric Fused-Heads in UCCA—0
BERTTune: Fine-Tuning Neural Machine Translation with BERTScore—0
AdvPicker: Effectively Leveraging Unlabeled Data via Adversarial Discriminator for Cross-Lingual NERCode0
Cross-language Sentence Selection via Data Augmentation and Rationale Training—0
Scalable Transformers for Neural Machine Translation—0
nmT5 -- Is parallel data still relevant for pre-training massively multilingual language models?—0
Negation typology and general representation models for cross-lingual zero-shot negation scope resolution in Russian, French, and Spanish.—0
Highland Puebla Nahuatl Speech Translation Corpus for Endangered Language Documentation—0
Peru is Multilingual, Its Machine Translation Should Be Too?Code0
Translate and Classify: Improving Sequence Level Classification for English-Hindi Code-Mixed DataCode0
Low-Resource Machine Translation Using Cross-Lingual Language Model Pretraining—0
Multi-Hop Transformer for Document-Level Machine Translation—0
Restoring the Sister: Reconstructing a Lexicon from Sister Languages using Neural Machine TranslationCode0
SentSim: Crosslingual Semantic Evaluation of Machine Translation—0
Parallel sentences mining with transfer learning in an unsupervised setting—0
Findings of the Second Workshop on Automatic Simultaneous Translation—0
SGL: Speaking the Graph Languages of Semantic Parsing via Multilingual TranslationCode0
Feature-level Incongruence Reduction for Multimodal Translation—0
Training Data Augmentation for Code-Mixed TranslationCode0
UoB at ProfNER 2021: Data Augmentation for Classification Using Machine Translation—0
Sampling and Filtering of Neural Machine Translation Distillation DataCode0
Hie-BART: Document Summarization with Hierarchical BART—0
Gender Bias Amplification During Speed-Quality Optimization in Neural Machine Translation—0
The REPU CS’ Spanish–Quechua Submission to the AmericasNLP 2021 Shared Task on Open Machine Translation—0
Gated Convolutional Sequence to Sequence Based Learning for English-Hingilsh Code-Switched Machine Translation.—0
Grouping Words with Semantic DiversityCode0
Towards a First Automatic Unsupervised Morphological Segmentation for Inuinnaqtun—0
Findings of the AmericasNLP 2021 Shared Task on Open Machine Translation for Indigenous Languages of the Americas—0
NRC-CNRC Machine Translation Systems for the 2021 AmericasNLP Shared Task—0
On Randomized Classification Layers and Their Implications in Natural Language Generation—0
ViTA: Visual-Linguistic Translation by Aligning Object TagsCode0
Deep Learning on Graphs for Natural Language Processing—0
Using Confidential Data for Domain Adaptation of Neural Machine TranslationCode0
Should we find another model?: Improving Neural Machine Translation Performance with ONE-Piece Tokenization Method without Model Modification—0
How Vision Affects Language: Comparing Masked Self-Attention in Uni-Modal and Multi-Modal Transformer—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