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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 901–950 of 10752 papers

TitleStatusHype
Comparative analysis of subword tokenization approaches for Indian languages—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
Pivot Language for Low-Resource Machine Translation—0
Scaling Low-Resource MT via Synthetic Data Generation with LLMs—0
HausaNLP: Current Status, Challenges and Future Directions for Hausa Natural Language Processing—0
FuxiMT: Sparsifying Large Language Models for Chinese-Centric Multilingual Machine Translation—0
TransBench: Benchmarking Machine Translation for Industrial-Scale Applications—0
THOR-MoE: Hierarchical Task-Guided and Context-Responsive Routing for Neural Machine Translation—0
A Case Study of Cross-Lingual Zero-Shot Generalization for Classical Languages in LLMsCode0
Combining the Best of Both Worlds: A Method for Hybrid NMT and LLM Translation—0
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
Are We Paying Attention to Her? Investigating Gender Disambiguation and Attention in Machine TranslationCode0
Aya Vision: Advancing the Frontier of Multilingual Multimodality—0
Development of a WAZOBIA-Named Entity Recognition System—0
Do Not Change Me: On Transferring Entities Without Modification in Neural Machine Translation -- a Multilingual PerspectiveCode0
TopicVD: A Topic-Based Dataset of Video-Guided Multimodal Machine Translation for DocumentariesCode0
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
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
Team ACK at SemEval-2025 Task 2: Beyond Word-for-Word Machine Translation for English-Korean Pairs—0
Calibrating Translation Decoding with Quality Estimation on LLMsCode0
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
Are AI agents the new machine translation frontier? Challenges and opportunities of single- and multi-agent systems for multilingual digital communication—0
Déjà Vu: Multilingual LLM Evaluation through the Lens of Machine Translation Evaluation—0
Multilingual Contextualization of Large Language Models for Document-Level Machine Translation—0
ADAT: Time-Series-Aware Adaptive Transformer Architecture for Sign Language Translation—0
AskQE: Question Answering as Automatic Evaluation for Machine Translation—0
Automated Python Translation—0
MorphTok: Morphologically Grounded Tokenization for Indian Languages—0
Can you map it to English? The Role of Cross-Lingual Alignment in Multilingual Performance of LLMsCode0
LLMs Can Achieve High-quality Simultaneous Machine Translation as Efficiently as OfflineCode0
Large Language Models as Span Annotators—0
Context-Aware Monolingual Human Evaluation of Machine Translation—0
Benchmarking Adversarial Robustness to Bias Elicitation in Large Language Models: Scalable Automated Assessment with LLM-as-a-JudgeCode0
Redefining Machine Translation on Social Network Services with Large Language ModelsCode0
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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
5AdminBLEU score43.8—Unverified
6Transformer (ADMIN init)BLEU 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