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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 1201–1250 of 10752 papers

TitleStatusHype
Ukrainian-to-English folktale corpus: Parallel corpus creation and augmentation for machine translation in low-resource languages—0
Machine Translation Evaluation Benchmark for Wu Chinese: Workflow and Analysis—0
Watching the Watchers: Exposing Gender Disparities in Machine Translation Quality EstimationCode0
QE-EBM: Using Quality Estimators as Energy Loss for Machine Translation—0
Effective Self-Mining of In-Context Examples for Unsupervised Machine Translation with LLMs—0
State of NLP in Kenya: A Survey—0
Adapters for Altering LLM Vocabularies: What Languages Benefit the Most?Code0
SLAM-AAC: Enhancing Audio Captioning with Paraphrasing Augmentation and CLAP-Refine through LLMs—0
Balancing Innovation and Privacy: Data Security Strategies in Natural Language Processing Applications—0
NusaMT-7B: Machine Translation for Low-Resource Indonesian Languages with Large Language Models—0
Modeling User Preferences with Automatic Metrics: Creating a High-Quality Preference Dataset for Machine Translation—0
Personal Intelligence System UniLM: Hybrid On-Device Small Language Model and Server-Based Large Language Model for Malay Nusantara—0
Mitigating the Language Mismatch and Repetition Issues in LLM-based Machine Translation via Model EditingCode0
Are Large Language Models State-of-the-art Quality Estimators for Machine Translation of User-generated Content?Code0
Neural machine translation system for Lezgian, Russian and Azerbaijani languagesCode0
Beyond Correlation: Interpretable Evaluation of Machine Translation Metrics—0
Leveraging Grammar Induction for Language Understanding and GenerationCode0
CTC-GMM: CTC guided modality matching for fast and accurate streaming speech translation—0
Translation Canvas: An Explainable Interface to Pinpoint and Analyze Translation Systems—0
A test suite of prompt injection attacks for LLM-based machine translationCode0
On Instruction-Finetuning Neural Machine Translation Models—0
Toxic Subword Pruning for Dialogue Response Generation on Large Language Models—0
Can the Variation of Model Weights be used as a Criterion for Self-Paced Multilingual NMT?—0
PsFuture: A Pseudo-Future-based Zero-Shot Adaptive Policy for Simultaneous Machine Translation—0
Textless Streaming Speech-to-Speech Translation using Semantic Speech Tokens—0
What do Large Language Models Need for Machine Translation Evaluation?Code0
X-ALMA: Plug & Play Modules and Adaptive Rejection for Quality Translation at Scale—0
A Multi-task Learning Framework for Evaluating Machine Translation of Emotion-loaded User-generated Content—0
Post-edits Are Preferences Too—0
Large Language Model for Multi-Domain Translation: Benchmarking and Domain CoT Fine-tuning—0
What the Harm? Quantifying the Tangible Impact of Gender Bias in Machine Translation with a Human-centered StudyCode0
On the Implications of Verbose LLM Outputs: A Case Study in Translation Evaluation—0
Efficient Technical Term Translation: A Knowledge Distillation Approach for Parenthetical Terminology Translation—0
Is Preference Alignment Always the Best Option to Enhance LLM-Based Translation? An Empirical Analysis—0
Evaluating and explaining training strategies for zero-shot cross-lingual news sentiment analysis—0
Contrastive Token Learning with Similarity Decay for Repetition Suppression in Machine Translation—0
Multimodal LLM Enhanced Cross-lingual Cross-modal RetrievalCode0
Disentangling Singlish Discourse Particles with Task-Driven Representation—0
LANDeRMT: Detecting and Routing Language-Aware Neurons for Selectively Finetuning LLMs to Machine Translation—0
Can LLMs Really Learn to Translate a Low-Resource Language from One Grammar Book?—0
Predicting Anchored Text from Translation Memories for Machine Translation Using Deep Learning Methods—0
On Translating Technical Terminology: A Translation Workflow for Machine-Translated Acronyms—0
Cross-lingual Human-Preference Alignment for Neural Machine Translation with Direct Quality Optimization—0
Shifting from endangerment to rebirth in the Artificial Intelligence Age: An Ensemble Machine Learning Approach for Hawrami Text ClassificationCode0
On Extending Direct Preference Optimization to Accommodate Ties—0
Multilingual Transfer and Domain Adaptation for Low-Resource Languages of Spain—0
Machine Translation Advancements of Low-Resource Indian Languages by Transfer Learning—0
EuroLLM: Multilingual Language Models for Europe—0
Real-Time Detection of Electronic Components in Waste Printed Circuit Boards: A Transformer-Based Approach—0
HW-TSC's Submission to the CCMT 2024 Machine Translation Tasks—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
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