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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 1801–1850 of 10752 papers

TitleStatusHype
The Curious Case of Logistic Regression for Italian Languages and Dialects IdentificationCode0
Speeding up Transformer Decoding via an Attention Refinement NetworkCode0
Measuring Robustness for NLP—0
Linguistically-Motivated Yorùbá-English Machine Translation—0
Applying Natural Annotation and Curriculum Learning to Named Entity Recognition for Under-Resourced LanguagesCode0
Deciphering and Characterizing Out-of-Vocabulary Words for Morphologically Rich Languages—0
Byte-based Multilingual NMT for Endangered LanguagesCode0
Constrained Regeneration for Cross-Lingual Query-Focused Extractive Summarization—0
Improving Non-Autoregressive Neural Machine Translation via Modeling Localness—0
Multi-level Community-awareness Graph Neural Networks for Neural Machine TranslationCode0
Penalizing Divergence: Multi-Parallel Translation for Low-Resource Languages of North America—0
Towards Robust Neural Machine Translation with Iterative Scheduled Data-Switch TrainingCode0
Vocabulary-informed Language Encoding—0
Interactive Post-Editing for Verbosity Controlled Translation—0
Two Languages Are Better than One: Bilingual Enhancement for Chinese Named Entity Recognition—0
Adversarial Training on Disentangling Meaning and Language Representations for Unsupervised Quality Estimation—0
Multi-Stage Framework with Refinement Based Point Set Registration for Unsupervised Bi-Lingual Word Alignment—0
Iterative Constrained Back-Translation for Unsupervised Domain Adaptation of Machine TranslationCode0
Language Branch Gated Multilingual Neural Machine Translation—0
Unregulated Chinese-to-English Data Expansion Does NOT Work for Neural Event Detection—0
ParaZh-22M: A Large-Scale Chinese Parabank via Machine Translation—0
Noise-robust Cross-modal Interactive Learning with Text2Image Mask for Multi-modal Neural Machine Translation—0
Addressing Asymmetry in Multilingual Neural Machine Translation with Fuzzy Task Clustering—0
A Closer Look at Parameter Contributions When Training Neural Language and Translation Models—0
CoDoNMT: Modeling Cohesion Devices for Document-Level Neural Machine TranslationCode0
Taking Actions Separately: A Bidirectionally-Adaptive Transfer Learning Method for Low-Resource Neural Machine Translation—0
融入音素特征的英-泰-老多语言神经机器翻译方法(English-Thai-Lao multilingual neural machine translation fused with phonemic features)—0
基于词典注入的藏汉机器翻译模型预训练方法(Dictionary Injection Based Pretraining Method for Tibetan-Chinese Machine Translation Model)—0
基于图文细粒度对齐语义引导的多模态神经机器翻译方法(Based on Semantic Guidance of Fine-grained Alignment of Image-Text for Multi-modal Neural Machine Translation)—0
Towards Making the Most of Pre-trained Translation Model for Quality Estimation—0
FRMT: A Benchmark for Few-Shot Region-Aware Machine TranslationCode0
MALM: Mixing Augmented Language Modeling for Zero-Shot Machine Translation—0
Blur the Linguistic Boundary: Interpreting Chinese Buddhist Sutra in English via Neural Machine Translation—0
Language-Family Adapters for Low-Resource Multilingual Neural Machine Translation—0
Synonym Detection Using Syntactic Dependency And Neural Embeddings—0
QUAK: A Synthetic Quality Estimation Dataset for Korean-English Neural Machine Translation—0
Bidirectional Language Models Are Also Few-shot Learners—0
Effective General-Domain Data Inclusion for the Machine Translation Task by Vanilla Transformers—0
Cyclegan Network for Sheet Metal Welding Drawing Translation—0
From Zero to Production: Baltic-Ukrainian Machine Translation Systems to Aid Refugees—0
An Automatic Evaluation of the WMT22 General Machine Translation Task—0
Revamping Multilingual Agreement Bidirectionally via Switched Back-translation for Multilingual Neural Machine Translation—0
Embarrassingly Easy Document-Level MT Metrics: How to Convert Any Pretrained Metric Into a Document-Level MetricCode1
Improving Multilingual Neural Machine Translation System for Indic Languages—0
Knowledge Representation for Conceptual, Motivational, and Affective Processes in Natural Language Communication—0
Meta-Learning a Cross-lingual Manifold for Semantic ParsingCode0
A Deep Investigation of RNN and Self-attention for the Cyrillic-Traditional Mongolian Bidirectional Conversion—0
Controllable Text Generation for Open-Domain Creativity and Fairness—0
Zero-shot Domain Adaptation for Neural Machine Translation with Retrieved Phrase-level Prompts—0
Approaching English-Polish Machine Translation Quality Assessment with Neural-based Methods—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