SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 651–700 of 10752 papers

TitleStatusHype
Beyond MLE: Investigating SEARNN for Low-Resourced Neural Machine Translation—0
A Novel Cartography-Based Curriculum Learning Method Applied on RoNLI: The First Romanian Natural Language Inference CorpusCode0
Chasing COMET: Leveraging Minimum Bayes Risk Decoding for Self-Improving Machine Translation—0
Cyber Risks of Machine Translation Critical Errors : Arabic Mental Health Tweets as a Case Study—0
Benchmarking Large Language Models on CFLUE -- A Chinese Financial Language Understanding Evaluation DatasetCode3
Word Alignment as Preference for Machine Translation—0
LLM-Assisted Rule Based Machine Translation for Low/No-Resource Languages—0
Enhancing Gender-Inclusive Machine Translation with Neomorphemes and Large Language Models—0
An Empirical Study on the Robustness of Massively Multilingual Neural Machine TranslationCode0
CANTONMT: Investigating Back-Translation and Model-Switch Mechanisms for Cantonese-English Neural Machine TranslationCode0
Learning to Solve Geometry Problems via Simulating Human Dual-Reasoning ProcessCode0
Using Machine Translation to Augment Multilingual Classification—0
Kreyòl-MT: Building MT for Latin American, Caribbean and Colonial African Creole LanguagesCode0
Automated Program Repair: Emerging trends pose and expose problems for benchmarks—0
Fine-tuning Pre-trained Named Entity Recognition Models For Indian Languages—0
Guylingo: The Republic of Guyana Creole CorporaCode0
Comparative study of models trained on synthetic data for Ukrainian grammatical error correctionCode0
Sentiment Analysis Across Languages: Evaluation Before and After Machine Translation to EnglishCode0
Relay Decoding: Concatenating Large Language Models for Machine Translation—0
The Call for Socially Aware Language Technologies—0
Reinforcement Learning for Edit-Based Non-Autoregressive Neural Machine Translation—0
The IgboAPI Dataset: Empowering Igbo Language Technologies through Multi-dialectal Enrichment—0
Efficient Sample-Specific Encoder Perturbations—0
Context-Aware Machine Translation with Source Coreference ExplanationCode0
Does Generative AI speak Nigerian-Pidgin?: Issues about Representativeness and Bias for Multilingualism in LLMsCode0
Suvach -- Generated Hindi QA benchmark—0
3AM: An Ambiguity-Aware Multi-Modal Machine Translation DatasetCode1
Modeling Orthographic Variation Improves NLP Performance for Nigerian Pidgin—0
Quality Estimation with k-nearest Neighbors and Automatic Evaluation for Model-specific Quality Estimation—0
Scaffold-BPE: Enhancing Byte Pair Encoding for Large Language Models with Simple and Effective Scaffold Token Removal—0
I Have an Attention Bridge to Sell You: Generalization Capabilities of Modular Translation Architectures—0
Usefulness of Emotional Prosody in Neural Machine Translation—0
TIGQA:An Expert Annotated Question Answering Dataset in Tigrinya—0
Prefix Text as a Yarn: Eliciting Non-English Alignment in Foundation Language Model—0
Translation of Multifaceted Data without Re-Training of Machine Translation Systems—0
IndicGenBench: A Multilingual Benchmark to Evaluate Generation Capabilities of LLMs on Indic LanguagesCode2
BERT vs GPT for financial engineering—0
Mamba-360: Survey of State Space Models as Transformer Alternative for Long Sequence Modelling: Methods, Applications, and ChallengesCode2
Neural Proto-Language Reconstruction—0
Sentence-Level or Token-Level? A Comprehensive Study on Knowledge Distillation—0
Setting up the Data Printer with Improved English to Ukrainian Machine TranslationCode1
Automated Multi-Language to English Machine Translation Using Generative Pre-Trained Transformers—0
Fine-Tuning Large Language Models to Translate: Will a Touch of Noisy Data in Misaligned Languages Suffice?—0
From LLM to NMT: Advancing Low-Resource Machine Translation with Claude—0
Evaluation of Machine Translation Based on Semantic Dependencies and Keywords—0
NLP-enabled Trajectory Map-matching in Urban Road Networks using a Transformer-based Encoder-decoder—0
Simultaneous Interpretation Corpus Construction by Large Language Models in Distant Language PairCode0
Enhancing Length Extrapolation in Sequential Models with Pointer-Augmented Neural Memory—0
Neuron Specialization: Leveraging intrinsic task modularity for multilingual machine translation—0
Bridging the Gap between Different Vocabularies for LLM EnsembleCode1
Show:102550
← PrevPage 14 of 216Next →
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