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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 1301–1350 of 10752 papers

TitleStatusHype
Large Language Models Might Not Care What You Are Saying: Prompt Format Beats Descriptions—0
PyMarian: Fast Neural Machine Translation and Evaluation in Python—0
Introducing the NewsPaLM MBR and QE Dataset: LLM-Generated High-Quality Parallel Data Outperforms Traditional Web-Crawled Data—0
Creating Arabic LLM Prompts at Scale—0
Cross-Lingual Conversational Speech Summarization with Large Language Models—0
SCOI: Syntax-augmented Coverage-based In-context Example Selection for Machine TranslationCode0
Simplifying Translations for Children: Iterative Simplification Considering Age of Acquisition with LLMsCode0
Attention Mechanism and Context Modeling System for Text Mining Machine Translation—0
Conditioning LLMs with Emotion in Neural Machine Translation—0
Evaluating the Translation Performance of Large Language Models Based on Euas-20—0
Enhancing AI-based Generation of Software Exploits with Contextual Information—0
Decoupled Vocabulary Learning Enables Zero-Shot Translation from Unseen Languages—0
BOTS-LM: Training Large Language Models for Setswana—0
Improving Multilingual Neural Machine Translation by Utilizing Semantic and Linguistic FeaturesCode0
Tensor Train Low-rank Approximation (TT-LoRA): Democratizing AI with Accelerated LLMs—0
In-Context Example Selection via Similarity Search Improves Low-Resource Machine TranslationCode0
SynesLM: A Unified Approach for Audio-visual Speech Recognition and Translation via Language Model and Synthetic Data—0
Teaching LLMs at Charles University: Assignments and Activities—0
Simply Trainable Nearest Neighbour Machine Translation with GPU Inference—0
Generating Gender Alternatives in Machine Translation—0
Granularity is crucial when applying differential privacy to text: An investigation for neural machine translationCode0
Advancing Neural Network Performance through Emergence-Promoting Initialization SchemeCode0
The power of Prompts: Evaluating and Mitigating Gender Bias in MT with LLMs—0
Machine Translation Hallucination Detection for Low and High Resource Languages using Large Language ModelsCode0
Beyond Binary Gender: Evaluating Gender-Inclusive Machine Translation with Ambiguous Attitude WordsCode0
Promises and Pitfalls of Generative Masked Language Modeling: Theoretical Framework and Practical Guidelines—0
Fine-grained Gender Control in Machine Translation with Large Language Models—0
Generalization v.s. Memorization: Tracing Language Models' Capabilities Back to Pretraining Data—0
CoVoSwitch: Machine Translation of Synthetic Code-Switched Text Based on Intonation UnitsCode0
Towards Zero-Shot Multimodal Machine TranslationCode0
Fixed and Adaptive Simultaneous Machine Translation Strategies Using AdaptersCode0
Translate-and-Revise: Boosting Large Language Models for Constrained Translation—0
LLMs-in-the-loop Part-1: Expert Small AI Models for Bio-Medical Text Translation—0
Scaling Sign Language Translation—0
MASIVE: Open-Ended Affective State Identification in English and SpanishCode0
Ancient Korean Archive Translation: Comparison Analysis on Statistical phrase alignment, LLM in-context learning, and inter-methodological approach—0
AraFinNLP 2024: The First Arabic Financial NLP Shared Task—0
sPhinX: Sample Efficient Multilingual Instruction Fine-Tuning Through N-shot Guided Prompting—0
DAHRS: Divergence-Aware Hallucination-Remediated SRL Projection—0
Towards Chapter-to-Chapter Context-Aware Literary Translation via Large Language Models—0
Tamil Language Computing: the Present and the Future—0
Rule-Based, Neural and LLM Back-Translation: Comparative Insights from a Variant of Ladin—0
Arabic Automatic Story Generation with Large Language ModelsCode0
An Automatic Quality Metric for Evaluating Simultaneous Interpretation—0
Enhancing Low-Resource NMT with a Multilingual Encoder and Knowledge Distillation: A Case StudyCode0
Segment-Based Interactive Machine Translation for Pre-trained Models—0
Large Language Models for Judicial Entity Extraction: A Comparative Study—0
How Effective are State Space Models for Machine Translation?Code0
Rethinking Targeted Adversarial Attacks For Neural Machine TranslationCode0
SmurfCat at PAN 2024 TextDetox: Alignment of Multilingual Transformers for Text DetoxificationCode0
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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