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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 1151–1200 of 10752 papers

TitleStatusHype
Benchmarking LLMs' Judgments with No Gold StandardCode0
Isochrony-Controlled Speech-to-Text Translation: A study on translating from Sino-Tibetan to Indo-European Languages—0
CULL-MT: Compression Using Language and Layer pruning for Machine Translation—0
Fineweb-Edu-Ar: Machine-translated Corpus to Support Arabic Small Language Models—0
Quasi-random Multi-Sample Inference for Large Language Models—0
Fine-Grained Reward Optimization for Machine Translation using Error Severity Mappings—0
Using Language Models to Disambiguate Lexical Choices in TranslationCode0
When Does Classical Chinese Help? Quantifying Cross-Lingual Transfer in Hanja and KanbunCode0
Prompt Engineering Using GPT for Word-Level Code-Mixed Language Identification in Low-Resource Dravidian Languages—0
Predictor-Corrector Enhanced Transformers with Exponential Moving Average Coefficient Learning—0
Language Models and Cycle Consistency for Self-Reflective Machine Translation—0
MoCE: Adaptive Mixture of Contextualization Experts for Byte-based Neural Machine TranslationCode0
Leveraging LLMs for MT in Crisis Scenarios: a blueprint for low-resource languages—0
Multilingual Vision-Language Pre-training for the Remote Sensing DomainCode0
Anticipating Future with Large Language Model for Simultaneous Machine Translation—0
Efficient Machine Translation with a BiLSTM-Attention ApproachCode0
CRAT: A Multi-Agent Framework for Causality-Enhanced Reflective and Retrieval-Augmented Translation with Large Language Models—0
SpeechQE: Estimating the Quality of Direct Speech TranslationCode0
Current State-of-the-Art of Bias Detection and Mitigation in Machine Translation for African and European Languages: a Review—0
Sequential Large Language Model-Based Hyper-parameter OptimizationCode0
GrammaMT: Improving Machine Translation with Grammar-Informed In-Context Learning—0
LLM Tree Search—0
kNN For Whisper And Its Effect On Bias And Speaker Adaptation—0
Dialectal and Low-Resource Machine Translation for Aromanian—0
Responsible Multilingual Large Language Models: A Survey of Development, Applications, and Societal Impact—0
Can General-Purpose Large Language Models Generalize to English-Thai Machine Translation ?—0
Learning from others' mistakes: Finetuning machine translation models with span-level error annotations—0
Efficient Terminology Integration for LLM-based Translation in Specialized Domains—0
On Creating an English-Thai Code-switched Machine Translation in Medical DomainCode0
Analyzing Context Contributions in LLM-based Machine Translation—0
Subword Embedding from Bytes Gains Privacy without Sacrificing Accuracy and Complexity—0
Generalized Probabilistic Attention Mechanism in Transformers—0
Grammatical Error Correction for Low-Resource Languages: The Case of Zarma—0
Back to School: Translation Using Grammar BooksCode0
mHumanEval -- A Multilingual Benchmark to Evaluate Large Language Models for Code GenerationCode0
SwaQuAD-24: QA Benchmark Dataset in Swahili—0
Analyzing Context Utilization of LLMs in Document-Level Translation—0
Improving Vector-Quantized Image Modeling with Latent Consistency-Matching Diffusion—0
Towards Cross-Cultural Machine Translation with Retrieval-Augmented Generation from Multilingual Knowledge Graphs—0
NLIP_Lab-IITH Multilingual MT System for WAT24 MT Shared TaskCode0
Boosting LLM Translation Skills without General Ability Loss via Rationale Distillation—0
Sarcasm Detection in a Less-Resourced LanguageCode0
Enhancing Assamese NLP Capabilities: Introducing a Centralized Dataset RepositoryCode0
"Is Hate Lost in Translation?": Evaluation of Multilingual LGBTQIA+ Hate Speech Detection—0
PMMT: Preference Alignment in Multilingual Machine Translation via LLM Distillation—0
IntGrad MT: Eliciting LLMs' Machine Translation Capabilities with Sentence Interpolation and Gradual MT—0
QE-EBM: Using Quality Estimators as Energy Loss for Machine Translation—0
IsoChronoMeter: A simple and effective isochronic translation evaluation metricCode0
Beyond Human-Only: Evaluating Human-Machine Collaboration for Collecting High-Quality Translation Data—0
Ukrainian-to-English folktale corpus: Parallel corpus creation and augmentation for machine translation in low-resource languages—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