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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 1601–1650 of 10752 papers

TitleStatusHype
Semantic Textual Similarity Assessment in Chest X-ray Reports Using a Domain-Specific Cosine-Based MetricCode0
Analysis of Levenshtein Transformer's Decoder and Its Variants—0
Asynchronous and Segmented Bidirectional Encoding for NMT—0
MORL-Prompt: An Empirical Analysis of Multi-Objective Reinforcement Learning for Discrete Prompt Optimization—0
Advancing Translation Preference Modeling with RLHF: A Step Towards Cost-Effective Solution—0
Conversational SimulMT: Efficient Simultaneous Translation with Large Language Models—0
Rethinking Human-like Translation Strategy: Integrating Drift-Diffusion Model with Large Language Models for Machine Translation—0
Crafting a Good Prompt or Providing Exemplary Dialogues? A Study of In-Context Learning for Persona-based Dialogue Generation—0
Improving Non-autoregressive Machine Translation with Error Exposure and Consistency Regularization—0
Self-Augmented In-Context Learning for Unsupervised Word TranslationCode0
Generating Diverse Translation with Perturbed kNN-MT—0
Unsupervised Sign Language Translation and Generation—0
Quality Does Matter: A Detailed Look at the Quality and Utility of Web-Mined Parallel CorporaCode0
Large Language Models "Ad Referendum": How Good Are They at Machine Translation in the Legal Domain?—0
Promoting Target Data in Context-aware Neural Machine Translation—0
A Prompt Response to the Demand for Automatic Gender-Neutral TranslationCode0
Neural machine translation of clinical procedure codes for medical diagnosis and uncertainty quantification—0
Improving Cross-Domain Low-Resource Text Generation through LLM Post-Editing: A Programmer-Interpreter Approach—0
The Potential of AutoML for Recommender Systems—0
Scaling Laws for Downstream Task Performance of Large Language Models—0
Predicting Machine Translation Performance on Low-Resource Languages: The Role of Domain Similarity—0
Revisiting the Markov Property for Machine Translation—0
A Morphologically-Aware Dictionary-based Data Augmentation Technique for Machine Translation of Under-Represented Languages—0
Sequence Shortening for Context-Aware Machine Translation—0
Disentangling the Roles of Target-Side Transfer and Regularization in Multilingual Machine Translation—0
Neural Machine Translation for Malayalam Paraphrase Generation—0
Transfer Learning for Text Diffusion Models—0
Non-Fluent Synthetic Target-Language Data Improve Neural Machine TranslationCode0
Massively Multilingual Text Translation For Low-Resource Languages—0
Understanding the effects of word-level linguistic annotations in under-resourced neural machine translation—0
Towards Red Teaming in Multimodal and Multilingual Translation—0
MultiMUC: Multilingual Template Filling on MUC-4Code0
Finding Challenging Metaphors that Confuse Pretrained Language Models—0
Stolen Subwords: Importance of Vocabularies for Machine Translation Model StealingCode0
Importance-Aware Data Augmentation for Document-Level Neural Machine Translation—0
Language Modelling Approaches to Adaptive Machine Translation—0
Misgendering and Assuming Gender in Machine Translation when Working with Low-Resource Languages—0
How Far Can 100 Samples Go? Unlocking Overall Zero-Shot Multilingual Translation via Tiny Multi-Parallel DataCode0
An Empirical Study of In-context Learning in LLMs for Machine TranslationCode0
Gender Bias in Machine Translation and The Era of Large Language Models—0
Gradable ChatGPT Translation Evaluation—0
ClimateGPT: Towards AI Synthesizing Interdisciplinary Research on Climate ChangeCode0
Salute the Classic: Revisiting Challenges of Machine Translation in the Age of Large Language ModelsCode0
Machine Translation with Large Language Models: Prompt Engineering for Persian, English, and Russian Directions—0
Enhancing Document-level Translation of Large Language Model via Translation Mixed-instructions—0
A Novel Approach for Automatic Program Repair using Round-Trip Translation with Large Language ModelsCode0
Only Send What You Need: Learning to Communicate Efficiently in Federated Multilingual Machine Translation—0
MiTTenS: A Dataset for Evaluating Gender MistranslationCode0
Adapting Large Language Models for Document-Level Machine Translation—0
Navigating the Metrics Maze: Reconciling Score Magnitudes and AccuraciesCode0
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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