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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 901–950 of 10752 papers

TitleStatusHype
Building Efficient and Effective OpenQA Systems for Low-Resource LanguagesCode1
Enhancing Context Through Contrast—0
Part-of-Speech Tagger for Bodo Language using Deep Learning approach—0
Hyperparameter-Free Approach for Faster Minimum Bayes Risk DecodingCode0
To Diverge or Not to Diverge: A Morphosyntactic Perspective on Machine Translation vs Human Translation—0
Quality and Quantity of Machine Translation References for Automatic MetricsCode0
LogicAsker: Evaluating and Improving the Logical Reasoning Ability of Large Language ModelsCode1
Machine Translation Testing via Syntactic Tree PruningCode0
ShennongAlpha: an AI-driven sharing and collaboration platform for intelligent curation, acquisition, and translation of natural medicinal material knowledgeCode0
Heterogeneous Encoders Scaling In The Transformer For Neural Machine Translation—0
PersianLLaMA: Towards Building First Persian Large Language Model—0
Don't Believe Everything You Read: Enhancing Summarization Interpretability through Automatic Identification of Hallucinations in Large Language Models—0
On the Use of Metaphor Translation in Psychiatry—0
Language Model is a Branch Predictor for Simultaneous Machine TranslationCode0
Cached Transformers: Improving Transformers with Differentiable Memory CacheCode1
Contextual Code Switching for Machine Translation using Language Models—0
Fine-tuning Large Language Models for Adaptive Machine TranslationCode1
Is post-editing really faster than human translation?—0
Predicting Human Translation Difficulty with Neural Machine Translation—0
An Empirical study of Unsupervised Neural Machine Translation: analyzing NMT output, model's behavior and sentences' contribution—0
APE-then-QE: Correcting then Filtering Pseudo Parallel Corpora for MT Training Data Creation—0
Distinguishing Translations by Human, NMT, and ChatGPT: A Linguistic and Statistical Approach—0
Pipeline and Dataset Generation for Automated Fact-checking in Almost Any LanguageCode0
IndicIRSuite: Multilingual Dataset and Neural Information Models for Indian LanguagesCode0
Fast Sampling via Discrete Non-Markov Diffusion Models with Predetermined Transition TimeCode0
Unraveling Key Factors of Knowledge Distillation—0
CL2CM: Improving Cross-Lingual Cross-Modal Retrieval via Cross-Lingual Knowledge Transfer—0
Multi-modal Latent Space Learning for Chain-of-Thought Reasoning in Language Models—0
Beyond English: Evaluating LLMs for Arabic Grammatical Error Correction—0
Contractive error feedback for gradient compression—0
Towards Faster k-Nearest-Neighbor Machine Translation—0
Content-Localization based Neural Machine Translation for Informal Dialectal Arabic: Spanish/French to Levantine/Gulf Arabic—0
Neural Machine Translation of Clinical Text: An Empirical Investigation into Multilingual Pre-Trained Language Models and Transfer-LearningCode0
Order Matters in the Presence of Dataset Imbalance for Multilingual Learning—0
A Review of Hybrid and Ensemble in Deep Learning for Natural Language Processing—0
Improving Neural Machine Translation by Multi-Knowledge Integration with Prompting—0
Seamless: Multilingual Expressive and Streaming Speech TranslationCode6
First Attempt at Building Parallel Corpora for Machine Translation of Northeast India's Very Low-Resource Languages—0
Converting Epics/Stories into Pseudocode using Transformers—0
Making Translators Privacy-aware on the User's Side—0
Simul-LLM: A Framework for Exploring High-Quality Simultaneous Translation with Large Language Models—0
Prompt Optimization via Adversarial In-Context LearningCode1
Explaining with Contrastive Phrasal Highlighting: A Case Study in Assisting Humans to Detect Translation DifferencesCode0
On Significance of Subword tokenization for Low Resource and Efficient Named Entity Recognition: A case study in Marathi—0
English to Arabic machine translation of mathematical documents—0
End-to-End Speech-to-Text Translation: A Survey—0
Quick Back-Translation for Unsupervised Machine TranslationCode0
PipeOptim: Ensuring Effective 1F1B Schedule with Optimizer-Dependent Weight PredictionCode0
Relevance-guided Neural Machine Translation—0
INarIG: Iterative Non-autoregressive Instruct Generation Model For Word-Level Auto Completion—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
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