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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 1101–1150 of 10752 papers

TitleStatusHype
Beyond Data Quantity: Key Factors Driving Performance in Multilingual Language ModelsCode0
Make Imagination Clearer! Stable Diffusion-based Visual Imagination for Multimodal Machine Translation—0
The Open Source Advantage in Large Language Models (LLMs)—0
Task-Oriented Dialog Systems for the Senegalese Wolof Language—0
CATER: Leveraging LLM to Pioneer a Multidimensional, Reference-Independent Paradigm in Translation Quality Evaluation—0
Analyzing the Attention Heads for Pronoun Disambiguation in Context-aware Machine Translation ModelsCode0
RoundTripOCR: A Data Generation Technique for Enhancing Post-OCR Error Correction in Low-Resource Devanagari LanguagesCode0
A Comparative Study of LLMs, NMT Models, and Their Combination in Persian-English Idiom TranslationCode0
Shiksha: A Technical Domain focused Translation Dataset and Model for Indian Languages—0
Multi-perspective Alignment for Increasing Naturalness in Neural Machine Translation—0
Annotations for Exploring Food Tweets From Multiple AspectsCode0
Harnessing Transfer Learning from Swahili: Advancing Solutions for Comorian Dialects—0
Paraphrase-Aligned Machine Translation—0
Domain-Specific Translation with Open-Source Large Language Models: Resource-Oriented Analysis—0
PromptRefine: Enhancing Few-Shot Performance on Low-Resource Indic Languages with Example Selection from Related Example Banks—0
Agent AI with LangGraph: A Modular Framework for Enhancing Machine Translation Using Large Language Models—0
Marco-LLM: Bridging Languages via Massive Multilingual Training for Cross-Lingual Enhancement—0
Representation Purification for End-to-End Speech Translation—0
BhashaVerse : Translation Ecosystem for Indian Subcontinent Languages—0
A Measure of the System Dependence of Automated Metrics—0
Improving Language Transfer Capability of Decoder-only Architecture in Multilingual Neural Machine TranslationCode0
A Multi-way Parallel Named Entity Annotated Corpus for English, Tamil and SinhalaCode0
A 2-step Framework for Automated Literary Translation Evaluation: Its Promises and Pitfalls—0
From Priest to Doctor: Domain Adaptaion for Low-Resource Neural Machine TranslationCode0
Homeostasis and Sparsity in Transformer—0
Artificial intelligence contribution to translation industry: looking back and forward—0
Clinical Document Corpora and Assorted Domain Proxies: A Survey of Diversity in Corpus Design, with Focus on German Text Data—0
Towards Santali Linguistic Inclusion: Building the First Santali-to-English Translation Model using mT5 Transformer and Data Augmentation—0
USTCCTSU at SemEval-2024 Task 1: Reducing Anisotropy for Cross-lingual Semantic Textual Relatedness Task—0
Aligning Pre-trained Models for Spoken Language Translation—0
A Runtime-Adaptive Transformer Neural Network Accelerator on FPGAsCode0
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
POS-tagging to highlight the skeletal structure of sentencesCode0
Generative Fuzzy System for Sequence Generation—0
Benchmarking GPT-4 against Human Translators: A Comprehensive Evaluation Across Languages, Domains, and Expertise LevelsCode0
NMT-Obfuscator Attack: Ignore a sentence in translation with only one wordCode0
A Comparative Study of Text Retrieval Models on DaReCzech—0
Low-resource Machine Translation: what for? who for? An observational study on a dedicated Tetun language translation service—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
Code-mixed LLM: Improve Large Language Models' Capability to Handle Code-Mixing through Reinforcement Learning from AI Feedback—0
Direct Speech-to-Speech Neural Machine Translation: A Survey—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
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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