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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 51–100 of 10752 papers

TitleStatusHype
HiMATE: A Hierarchical Multi-Agent Framework for Machine Translation Evaluation—0
HOFT: Householder Orthogonal Fine-tuning—0
In-Domain African Languages Translation Using LLMs and Multi-armed Bandits—0
Exploring In-Image Machine Translation with Real-World BackgroundCode0
TransBench: Benchmarking Machine Translation for Industrial-Scale Applications—0
Pivot Language for Low-Resource Machine Translation—0
HausaNLP: Current Status, Challenges and Future Directions for Hausa Natural Language Processing—0
Scaling Low-Resource MT via Synthetic Data Generation with LLMs—0
FuxiMT: Sparsifying Large Language Models for Chinese-Centric Multilingual Machine Translation—0
THOR-MoE: Hierarchical Task-Guided and Context-Responsive Routing for Neural Machine Translation—0
Combining the Best of Both Worlds: A Method for Hybrid NMT and LLM Translation—0
A Case Study of Cross-Lingual Zero-Shot Generalization for Classical Languages in LLMsCode0
ExTrans: Multilingual Deep Reasoning Translation via Exemplar-Enhanced Reinforcement LearningCode3
LLM-Based Evaluation of Low-Resource Machine Translation: A Reference-less Dialect Guided Approach with a Refined Sylheti-English BenchmarkCode0
Towards Cultural Bridge by Bahnaric-Vietnamese Translation Using Transfer Learning of Sequence-To-Sequence Pre-training Language Model—0
Multilingual Machine Translation with Quantum Encoder Decoder Attention-based Convolutional Variational Circuits—0
Aya Vision: Advancing the Frontier of Multilingual Multimodality—0
Are We Paying Attention to Her? Investigating Gender Disambiguation and Attention in Machine TranslationCode0
Development of a WAZOBIA-Named Entity Recognition System—0
TopicVD: A Topic-Based Dataset of Video-Guided Multimodal Machine Translation for DocumentariesCode0
Do Not Change Me: On Transferring Entities Without Modification in Neural Machine Translation -- a Multilingual PerspectiveCode0
LiTransProQA: an LLM-based Literary Translation evaluation metric with Professional Question AnsweringCode0
Data Augmentation With Back translation for Low Resource languages: A case of English and Luganda—0
SignSplat: Rendering Sign Language via Gaussian Splatting—0
Same evaluation, more tokens: On the effect of input length for machine translation evaluation using Large Language Models—0
AI agents may be worth the hype but not the resources (yet): An initial exploration of machine translation quality and costs in three language pairs in the legal and news domains—0
Sadeed: Advancing Arabic Diacritization Through Small Language Model—0
Improving Retrieval-Augmented Neural Machine Translation with Monolingual Data—0
Team ACK at SemEval-2025 Task 2: Beyond Word-for-Word Machine Translation for English-Korean Pairs—0
DMDTEval: An Evaluation and Analysis of LLMs on Disambiguation in Multi-domain Translation—0
Can LLMs Detect Intrinsic Hallucinations in Paraphrasing and Machine Translation?—0
Calibrating Translation Decoding with Quality Estimation on LLMsCode0
MEDIBENG WHISPER TINY: A FINE-TUNED CODE-SWITCHED BENGALI-ENGLISH TRANSLATOR FOR CLINICAL APPLICATIONSCode1
CLIRudit: Cross-Lingual Information Retrieval of Scientific Documents—0
FairTranslate: An English-French Dataset for Gender Bias Evaluation in Machine Translation by Overcoming Gender BinarityCode0
Automatic Evaluation Metrics for Document-level Translation: Overview, Challenges and Trends—0
Trans-Zero: Self-Play Incentivizes Large Language Models for Multilingual Translation Without Parallel DataCode0
Translation Analytics for Freelancers: I. Introduction, Data Preparation, Baseline Evaluations—0
A Multimodal Recaptioning Framework to Account for Perceptual Diversity in Multilingual Vision-Language Modeling—0
Remedy: Learning Machine Translation Evaluation from Human Preferences with Reward ModelingCode1
Are AI agents the new machine translation frontier? Challenges and opportunities of single- and multi-agent systems for multilingual digital communication—0
ADAT: Time-Series-Aware Adaptive Transformer Architecture for Sign Language Translation—0
Multilingual Contextualization of Large Language Models for Document-Level Machine Translation—0
Déjà Vu: Multilingual LLM Evaluation through the Lens of Machine Translation Evaluation—0
AskQE: Question Answering as Automatic Evaluation for Machine Translation—0
Automated Python Translation—0
MorphTok: Morphologically Grounded Tokenization for Indian Languages—0
MT-R1-Zero: Advancing LLM-based Machine Translation via R1-Zero-like Reinforcement LearningCode2
LLMs Can Achieve High-quality Simultaneous Machine Translation as Efficiently as OfflineCode0
Can you map it to English? The Role of Cross-Lingual Alignment in Multilingual Performance of LLMsCode0
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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