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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 301–350 of 10752 papers

TitleStatusHype
Artificial intelligence contribution to translation industry: looking back and forward—0
USTCCTSU at SemEval-2024 Task 1: Reducing Anisotropy for Cross-lingual Semantic Textual Relatedness Task—0
A Runtime-Adaptive Transformer Neural Network Accelerator on FPGAsCode0
Aligning Pre-trained Models for Spoken Language Translation—0
DiffSLT: Enhancing Diversity in Sign Language Translation via Diffusion Model—0
From Jack of All Trades to Master of One: Specializing LLM-based Autoraters to a Test Set—0
From MTEB to MTOB: Retrieval-Augmented Classification for Descriptive GrammarsCode0
SwissADT: An Audio Description Translation System for Swiss Languages—0
Benchmarking GPT-4 against Human Translators: A Comprehensive Evaluation Across Languages, Domains, and Expertise LevelsCode0
POS-tagging to highlight the skeletal structure of sentencesCode0
Generative Fuzzy System for Sequence Generation—0
NMT-Obfuscator Attack: Ignore a sentence in translation with only one wordCode0
Low-resource Machine Translation: what for? who for? An observational study on a dedicated Tetun language translation service—0
A Comparative Study of Text Retrieval Models on DaReCzech—0
BanglaDialecto: An End-to-End AI-Powered Regional Speech StandardizationCode0
On the Shortcut Learning in Multilingual Neural Machine Translation—0
Systolic Arrays and Structured Pruning Co-design for Efficient Transformers in Edge Systems—0
A Bayesian Optimization Approach to Machine Translation RerankingCode0
Direct Speech-to-Speech Neural Machine Translation: A Survey—0
Code-mixed LLM: Improve Large Language Models' Capability to Handle Code-Mixing through Reinforcement Learning from AI Feedback—0
Refining Translations with LLMs: A Constraint-Aware Iterative Prompting Approach—0
Theoretical Analysis of Byte-Pair Encoding—0
Deceiving Question-Answering Models: A Hybrid Word-Level Adversarial ApproachCode0
Isochrony-Controlled Speech-to-Text Translation: A study on translating from Sino-Tibetan to Indo-European Languages—0
Benchmarking LLMs' Judgments with No Gold StandardCode0
Fineweb-Edu-Ar: Machine-translated Corpus to Support Arabic Small Language Models—0
CULL-MT: Compression Using Language and Layer pruning for Machine Translation—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
Context-Informed Machine Translation of Manga using Multimodal Large Language ModelsCode1
MoCE: Adaptive Mixture of Contextualization Experts for Byte-based Neural Machine TranslationCode0
MetaMetrics-MT: Tuning Meta-Metrics for Machine Translation via Human Preference CalibrationCode1
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
SpeechQE: Estimating the Quality of Direct Speech TranslationCode0
Fine-Grained and Multi-Dimensional Metrics for Document-Level Machine TranslationCode1
CRAT: A Multi-Agent Framework for Causality-Enhanced Reflective and Retrieval-Augmented Translation with Large Language Models—0
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
How Good Are LLMs for Literary Translation, Really? Literary Translation Evaluation with Humans and LLMsCode1
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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