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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 851–900 of 10752 papers

TitleStatusHype
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
Non-Exchangeable Conformal Language Generation with Nearest NeighborsCode1
Neural Machine Translation for Malayalam Paraphrase Generation—0
MT-Ranker: Reference-free machine translation evaluation by inter-system rankingCode1
Transfer Learning for Text Diffusion Models—0
Stolen Subwords: Importance of Vocabularies for Machine Translation Model StealingCode0
Towards Red Teaming in Multimodal and Multilingual Translation—0
Non-Fluent Synthetic Target-Language Data Improve Neural Machine TranslationCode0
Understanding the effects of word-level linguistic annotations in under-resourced neural machine translation—0
Machine Translation Meta Evaluation through Translation Accuracy Challenge SetsCode1
Massively Multilingual Text Translation For Low-Resource Languages—0
Finding Challenging Metaphors that Confuse Pretrained Language Models—0
MultiMUC: Multilingual Template Filling on MUC-4Code0
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
Improving Machine Translation with Human Feedback: An Exploration of Quality Estimation as a Reward ModelCode1
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
Knowledge Fusion of Large Language ModelsCode4
Gradable ChatGPT Translation Evaluation—0
Gender Bias in Machine Translation and The Era of Large Language Models—0
ClimateGPT: Towards AI Synthesizing Interdisciplinary Research on Climate ChangeCode0
Machine Translation with Large Language Models: Prompt Engineering for Persian, English, and Russian Directions—0
Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine TranslationCode4
Enhancing Document-level Translation of Large Language Model via Translation Mixed-instructions—0
Salute the Classic: Revisiting Challenges of Machine Translation in the Age of Large Language ModelsCode0
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
Machine Translation Models are Zero-Shot Detectors of Translation DirectionCode0
Navigating the Metrics Maze: Reconciling Score Magnitudes and AccuraciesCode0
An approach for mistranslation removal from popular dataset for Indic MT Task—0
Lost in the Source Language: How Large Language Models Evaluate the Quality of Machine TranslationCode0
Don't Rank, Combine! Combining Machine Translation Hypotheses Using Quality Estimation—0
Tuning LLMs with Contrastive Alignment Instructions for Machine Translation in Unseen, Low-resource Languages—0
A Shocking Amount of the Web is Machine Translated: Insights from Multi-Way ParallelismCode0
End to end Hindi to English speech conversion using Bark, mBART and a finetuned XLSR Wav2Vec2—0
POMP: Probability-driven Meta-graph Prompter for LLMs in Low-resource Unsupervised Neural Machine Translation—0
Natural Language Processing for Dialects of a Language: A Survey—0
Towards Boosting Many-to-Many Multilingual Machine Translation with Large Language ModelsCode0
Aligning Translation-Specific Understanding to General Understanding in Large Language ModelsCode0
Convergences and Divergences between Automatic Assessment and Human Evaluation: Insights from Comparing ChatGPT-Generated Translation and Neural Machine Translation—0
Whose wife is it anyway? Assessing bias against same-gender relationships in machine translationCode0
We Need to Talk About Classification Evaluation Metrics in NLP—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