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 8301–8350 of 10752 papers

TitleStatusHype
Are BLEU and Meaning Representation in Opposition?—0
A Recipe for Arabic-English Neural Machine Translation—0
A Recipe of Parallel Corpora Exploitation for Multilingual Large Language Models—0
A Recurrent Neural Networks Approach for Estimating the Quality of Machine Translation Output—0
A Recursive Recurrent Neural Network for Statistical Machine Translation—0
Are Ellipses Important for Machine Translation?—0
A Relaxed Optimization Approach for Adversarial Attacks against Neural Machine Translation Models—0
A Repository of Data and Evaluation Resources for Natural Language Generation—0
Are Two Heads Better than One? Crowdsourced Translation via a Two-Step Collaboration of Non-Professional Translators and Editors—0
A Review of Discourse-level Machine Translation—0
A review of faithfulness metrics for hallucination assessment in Large Language Models—0
A Review of Hybrid and Ensemble in Deep Learning for Natural Language Processing—0
A Review of Reinforcement Learning for Natural Language Processing, and Applications in Healthcare—0
A review of sentiment analysis research in Arabic language—0
Are we Estimating or Guesstimating Translation Quality?—0
Are You Sure? Confidence in Prediction of Dependency Tree Edges—0
Argument structure of adverbial derivatives in Russian—0
A Richly Annotated, Multilingual Parallel Corpus for Hybrid Machine Translation—0
A Rich Morphological Tagger for English: Exploring the Cross-Linguistic Tradeoff Between Morphology and Syntax—0
Arithmetic Sampling: Parallel Diverse Decoding for Large Language Models—0
A Roadmap for Big Model—0
A Robust Abstractive System for Cross-Lingual Summarization—0
A Rough Set Formalization of Quantitative Evaluation with Ambiguity—0
Artificial Error Generation with Machine Translation and Syntactic Patterns—0
Artificial intelligence contribution to translation industry: looking back and forward—0
A Rule-Augmented Statistical Phrase-based Translation System—0
A rule based approach for automatic clause boundary detection and classification in Hindi—0
A Rule-based Shallow-transfer Machine Translation System for Scots and English—0
A Rule-Based System for Disambiguating French Locative Verbs and Their Translation into Arabic—0
ArzEn-ST: A Three-way Speech Translation Corpus for Code-Switched Egyptian Arabic - English—0
A Scalable Distributed Syntactic, Semantic, and Lexical Language Model—0
A Semantic Evaluation of Machine Translation Lexical Choice—0
A Semantic QA-Based Approach for Text Summarization Evaluation—0
A Semi-Automated Live Interlingual Communication Workflow Featuring Intralingual Respeaking: Evaluation and Benchmarking—0
A Semi-supervised Approach for a Better Translation of Sentiment in Dialectical Arabic UGT—0
A Semi-supervised Approach to Generate the Code-Mixed Text using Pre-trained Encoder and Transfer Learning—0
A Semi-Supervised BERT Approach for Arabic Named Entity Recognition—0
A Sense-Based Translation Model for Statistical Machine Translation—0
A Sentence Meaning Based Alignment Method for Parallel Text Corpora Preparation—0
A Shared Task on Bandit Learning for Machine Translation—0
A Shared Task on Multimodal Machine Translation and Crosslingual Image Description—0
A Shift-Reduce Parsing Algorithm for Phrase-based String-to-Dependency Translation—0
A Simple and Effective Approach to Coverage-Aware Neural Machine Translation—0
A Simple and Effective Method of Cross-Lingual Plagiarism Detection—0
A Simple and Effective Unified Encoder for Document-Level Machine Translation—0
A Simple and General Strategy for Referential Problem in Low-Resource Neural Machine Translation—0
A Simple and Strong Baseline: NAIST-NICT Neural Machine Translation System for WAT2017 English-Japanese Translation Task—0
A Simple Baseline for Beam Search Reranking—0
A Simple but Effective Approach to Improve Arabizi-to-English Statistical Machine Translation—0
A simple discriminative training method for machine translation with large-scale features—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