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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 1551–1600 of 10752 papers

TitleStatusHype
Triples-to-isiXhosa (T2X): Addressing the Challenges of Low-Resource Agglutinative Data-to-Text GenerationCode0
ACT-MNMT Auto-Constriction Turning for Multilingual Neural Machine Translation—0
Few-Shot Cross-Lingual Transfer for Prompting Large Language Models in Low-Resource Languages—0
Enhanced Auto Language Prediction with Dictionary Capsule -- A Novel Approach—0
Cross-lingual Transfer or Machine Translation? On Data Augmentation for Monolingual Semantic Textual Similarity—0
Where does In-context Translation Happen in Large Language Models—0
Attempt Towards Stress Transfer in Speech-to-Speech Machine Translation—0
Towards Automatic Composition of ASP Programs from Natural Language Specifications—0
Inverse-Free Fast Natural Gradient Descent Method for Deep Learning—0
BiVert: Bidirectional Vocabulary Evaluation using Relations for Machine Translation—0
gaHealth: An English-Irish Bilingual Corpus of Health DataCode0
Design of an Open-Source Architecture for Neural Machine Translation—0
General2Specialized LLMs Translation for E-commerce—0
Did Translation Models Get More Robust Without Anyone Even Noticing?—0
Detecting Concrete Visual Tokens for Multimodal Machine Translation—0
The Case for Evaluating Multimodal Translation Models on Text Datasets—0
Eliciting Better Multilingual Structured Reasoning from LLMs through Code—0
Adding Multimodal Capabilities to a Text-only Translation Model—0
Human Evaluation of English--Irish Transformer-Based NMT—0
Transformers for Low-Resource Languages:Is Féidir Linn!—0
adaptNMT: an open-source, language-agnostic development environment for Neural Machine Translation—0
adaptMLLM: Fine-Tuning Multilingual Language Models on Low-Resource Languages with Integrated LLM PlaygroundsCode0
Align-to-Distill: Trainable Attention Alignment for Knowledge Distillation in Neural Machine TranslationCode0
Enhancing Neural Machine Translation of Low-Resource Languages: Corpus Development, Human Evaluation and Explainable AI Architectures—0
You Need to Pay Better Attention: Rethinking the Mathematics of Attention Mechanism—0
Machine Translation in the Covid domain: an English-Irish case study for LoResMT 2021—0
Mediapi-RGB: Enabling Technological Breakthroughs in French Sign Language (LSF) Research through an Extensive Video-Text CorpusCode0
EBBS: An Ensemble with Bi-Level Beam Search for Zero-Shot Machine Translation—0
Robust Guidance for Unsupervised Data Selection: Capturing Perplexing Named Entities for Domain-Specific Machine TranslationCode0
Leveraging Diverse Modeling Contexts with Collaborating Learning for Neural Machine Translation—0
Fine-Tuned Machine Translation Metrics Struggle in Unseen DomainsCode0
NeuroPrune: A Neuro-inspired Topological Sparse Training Algorithm for Large Language Models—0
When Scaling Meets LLM Finetuning: The Effect of Data, Model and Finetuning Method—0
Layer-wise Regularized Dropout for Neural Language Models—0
Pre-training Cross-lingual Open Domain Question Answering with Large-scale Synthetic SupervisionCode0
Training a Bilingual Language Model by Mapping Tokens onto a Shared Character Space—0
Fine-tuning Large Language Models for Domain-specific Machine Translation—0
Transformers are Expressive, But Are They Expressive Enough for Regression?Code0
DeMPT: Decoding-enhanced Multi-phase Prompt Tuning for Making LLMs Be Better Context-aware TranslatorsCode0
Two Counterexamples to Tokenization and the Noiseless Channel—0
GATE X-E : A Challenge Set for Gender-Fair Translations from Weakly-Gendered Languages—0
Does the Generator Mind its Contexts? An Analysis of Generative Model Faithfulness under Context Transfer—0
Could We Have Had Better Multilingual LLMs If English Was Not the Central Language?—0
AlgoFormer: An Efficient Transformer Framework with Algorithmic Structures—0
Bangla AI: A Framework for Machine Translation Utilizing Large Language Models for Ethnic Media—0
RefuteBench: Evaluating Refuting Instruction-Following for Large Language ModelsCode0
UMBCLU at SemEval-2024 Task 1A and 1C: Semantic Textual Relatedness with and without machine translationCode0
Enhanced Hallucination Detection in Neural Machine Translation through Simple Detector Aggregation—0
NEO-BENCH: Evaluating Robustness of Large Language Models with NeologismsCode0
Semantic Textual Similarity Assessment in Chest X-ray Reports Using a Domain-Specific Cosine-Based MetricCode0
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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