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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 1651–1700 of 10752 papers

TitleStatusHype
Navigating the Metrics Maze: Reconciling Score Magnitudes and AccuraciesCode0
Lost in the Source Language: How Large Language Models Evaluate the Quality of Machine TranslationCode0
An approach for mistranslation removal from popular dataset for Indic MT Task—0
Don't Rank, Combine! Combining Machine Translation Hypotheses Using Quality Estimation—0
A Shocking Amount of the Web is Machine Translated: Insights from Multi-Way ParallelismCode0
Towards Boosting Many-to-Many Multilingual Machine Translation with Large Language ModelsCode0
End to end Hindi to English speech conversion using Bark, mBART and a finetuned XLSR Wav2Vec2—0
Tuning LLMs with Contrastive Alignment Instructions for Machine Translation in Unseen, Low-resource Languages—0
POMP: Probability-driven Meta-graph Prompter for LLMs in Low-resource Unsupervised Neural Machine Translation—0
Natural Language Processing for Dialects of a Language: A Survey—0
Aligning Translation-Specific Understanding to General Understanding in Large Language ModelsCode0
Whose wife is it anyway? Assessing bias against same-gender relationships in machine translationCode0
Convergences and Divergences between Automatic Assessment and Human Evaluation: Insights from Comparing ChatGPT-Generated Translation and Neural Machine Translation—0
We Need to Talk About Classification Evaluation Metrics in NLP—0
Part-of-Speech Tagger for Bodo Language using Deep Learning approach—0
Enhancing Context Through Contrast—0
Hyperparameter-Free Approach for Faster Minimum Bayes Risk DecodingCode0
Quality and Quantity of Machine Translation References for Automatic MetricsCode0
To Diverge or Not to Diverge: A Morphosyntactic Perspective on Machine Translation vs Human Translation—0
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
Language Model is a Branch Predictor for Simultaneous Machine TranslationCode0
On the Use of Metaphor Translation in Psychiatry—0
Don't Believe Everything You Read: Enhancing Summarization Interpretability through Automatic Identification of Hallucinations in Large Language Models—0
Contextual Code Switching for Machine Translation using Language Models—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
Is post-editing really faster than human translation?—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
IndicIRSuite: Multilingual Dataset and Neural Information Models for Indian LanguagesCode0
Pipeline and Dataset Generation for Automated Fact-checking in Almost Any LanguageCode0
Multi-modal Latent Space Learning for Chain-of-Thought Reasoning in Language Models—0
Unraveling Key Factors of Knowledge Distillation—0
Fast Sampling via Discrete Non-Markov Diffusion Models with Predetermined Transition TimeCode0
CL2CM: Improving Cross-Lingual Cross-Modal Retrieval via Cross-Lingual Knowledge Transfer—0
Beyond English: Evaluating LLMs for Arabic Grammatical Error Correction—0
Contractive error feedback for gradient compression—0
Content-Localization based Neural Machine Translation for Informal Dialectal Arabic: Spanish/French to Levantine/Gulf Arabic—0
Towards Faster k-Nearest-Neighbor Machine Translation—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
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
Improving Neural Machine Translation by Multi-Knowledge Integration with Prompting—0
Simul-LLM: A Framework for Exploring High-Quality Simultaneous Translation with Large Language Models—0
Making Translators Privacy-aware on the User's Side—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