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

Showing 66016650 of 10752 papers

TitleStatusHype
Generalization algorithm of multimodal pre-training model based on graph-text self-supervised training0
Generalization v.s. Memorization: Tracing Language Models' Capabilities Back to Pretraining Data0
Generalized Agreement for Bidirectional Word Alignment0
Generalized Character-Level Spelling Error Correction0
Generalized Data Augmentation for Low-Resource Translation0
Generalized Probabilistic Attention Mechanism in Transformers0
Generalized Reordering Rules for Improved SMT0
Generalizing Back-Translation in Neural Machine Translation0
Generating a Gold Standard for a Swedish Sentiment Lexicon0
Generating and using probabilistic morphological resources for the biomedical domain0
Generating artificial errors for grammatical error correction0
Generating Authentic Adversarial Examples beyond Meaning-preserving with Doubly Round-trip Translation0
Generating Classical Chinese Poems via Conditional Variational Autoencoder and Adversarial Training0
Generating Diverse Translation by Manipulating Multi-Head Attention0
Generating Diverse Translation from Model Distribution with Dropout0
Generating Diverse Translations via Weighted Fine-tuning and Hypotheses Filtering for the Duolingo STAPLE Task0
Generating Diverse Translations with Sentence Codes0
Generating Diverse Translation with Perturbed kNN-MT0
Generating English Determiners in Phrase-Based Translation with Synthetic Translation Options0
Generating English from Abstract Meaning Representations0
Generating Equation by Utilizing Operators : GEO model0
Generating Fluent Translations from Disfluent Text Without Access to Fluent References: IIT Bombay@IWSLT20200
Generating Gender Alternatives in Machine Translation0
Generating Gender Augmented Data for NLP0
Generating Image Descriptions using Multilingual Data0
Generating Medical Reports from Patient-Doctor Conversations Using Sequence-to-Sequence Models0
Generating Multilingual Parallel Corpus Using Subtitles0
Generating Natural Language Inference Chains0
Generating sets of related sentences from input seed features0
Generating Subjective Responses to Opinionated Articles in Social Media: An Agenda-Driven Architecture and a Turing-Like Test0
Generating Syntactic Paraphrases0
Generating Synthetic Data for Neural Keyword-to-Question Models0
Generating titles for millions of browse pages on an e-Commerce site0
Generating Training Data for Semantic Role Labeling based on Label Transfer from Linked Lexical Resources0
Generation from Abstract Meaning Representation using Tree Transducers0
Generation of Compound Words in Statistical Machine Translation into Compounding Languages0
Generative Bridging Network for Neural Sequence Prediction0
Generative Bridging Network in Neural Sequence Prediction0
Generative Fuzzy System for Sequence Generation0
Generative Imagination Elevates Machine Translation0
Generative Incremental Dependency Parsing with Neural Networks0
Generative latent neural models for automatic word alignment0
Generative Models for Alignment and Data Efficiency in Language0
Generative Neural Machine Translation0
Generic and Specialized Word Embeddings for Multi-Domain Machine Translation0
Generic Mechanism for Reducing Repetitions in Encoder-Decoder Models0
GEO-BLEU: Similarity Measure for Geospatial Sequences0
Geographical Distance Is The New Hyperparameter: A Case Study Of Finding The Optimal Pre-trained Language For English-isiZulu Machine Translation.0
Geographical Evaluation of Word Embeddings0
Geometric Understanding of Deep Learning0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Transformer Cycle (Rev)BLEU score35.14Unverified
2Noisy back-translationBLEU score35Unverified
3Transformer+Rep(Uni)BLEU score33.89Unverified
4T5-11BBLEU score32.1Unverified
5BiBERTBLEU score31.26Unverified
6Transformer + R-DropBLEU score30.91Unverified
7Bi-SimCutBLEU score30.78Unverified
8BERT-fused NMTBLEU score30.75Unverified
9Data Diversification - TransformerBLEU score30.7Unverified
10SimCutBLEU score30.56Unverified
#ModelMetricClaimedVerifiedStatus
1Transformer+BT (ADMIN init)BLEU score46.4Unverified
2Noisy back-translationBLEU score45.6Unverified
3mRASP+Fine-TuneBLEU score44.3Unverified
4Transformer + R-DropBLEU score43.95Unverified
5Transformer (ADMIN init)BLEU score43.8Unverified
6AdminBLEU score43.8Unverified
7BERT-fused NMTBLEU score43.78Unverified
8MUSE(Paralllel Multi-scale Attention)BLEU score43.5Unverified
9T5BLEU score43.4Unverified
10Local Joint Self-attentionBLEU score43.3Unverified
#ModelMetricClaimedVerifiedStatus
1PiNMTBLEU score40.43Unverified
2BiBERTBLEU score38.61Unverified
3Bi-SimCutBLEU score38.37Unverified
4Cutoff + Relaxed Attention + LMBLEU score37.96Unverified
5DRDABLEU score37.95Unverified
6Transformer + R-Drop + CutoffBLEU score37.9Unverified
7SimCutBLEU score37.81Unverified
8Cutoff+KneeBLEU score37.78Unverified
9CutoffBLEU score37.6Unverified
10CipherDAugBLEU score37.53Unverified
#ModelMetricClaimedVerifiedStatus
1HWTSC-Teacher-SimScore19.97Unverified
2MS-COMET-22Score19.89Unverified
3MS-COMET-QE-22Score19.76Unverified
4KG-BERTScoreScore17.28Unverified
5metricx_xl_DA_2019Score17.17Unverified
6COMET-QEScore16.8Unverified
7COMET-22Score16.31Unverified
8UniTE-srcScore15.68Unverified
9UniTE-refScore15.38Unverified
10metricx_xxl_DA_2019Score15.24Unverified