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

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Showing 2351–2400 of 10752 papers

TitleStatusHype
A Unified Annotation Scheme for the Semantic/Pragmatic Components of Definiteness—0
A Deep Memory-based Architecture for Sequence-to-Sequence Learning—0
Current Shortcomings of Machine Translation in Spanish and Bulgarian Vis-à-vis English—0
AUGVIC: Exploiting BiText Vicinity for Low-Resource NMT—0
Augmenting Translation Models with Simulated Acoustic Confusions for Improved Spoken Language Translation—0
A Deep Learning Based Approach to Transliteration—0
Augmenting String-to-Tree and Tree-to-String Translation with Non-Syntactic Phrases—0
Augmenting Statistical Machine Translation with Subword Translation of Out-of-Vocabulary Words—0
Analyzing Optimization for Statistical Machine Translation: MERT Learns Verbosity, PRO Learns Length—0
A Comparison between Pre-training and Large-scale Back-translation for Neural Machine Translation—0
Augmenting Pivot based SMT with word segmentation—0
Augmenting Phrase Table by Employing Lexicons for Pivot-based SMT—0
A deep language model to predict metabolic network equilibria—0
Analyzing Knowledge Distillation in Neural Machine Translation—0
Abstraction, Reasoning and Deep Learning: A Study of the "Look and Say" Sequence—0
Thinking Slow about Latency Evaluation for Simultaneous Machine Translation—0
Curious Case of Language Generation Evaluation Metrics: A Cautionary Tale—0
Current State-of-the-Art of Bias Detection and Mitigation in Machine Translation for African and European Languages: a Review—0
Customized Neural Machine Translation Systems for the Swiss Legal Domain—0
CVIT's submissions to WAT-2019—0
Augmenting Large Language Model Translators via Translation Memories—0
Augmenting Image Question Answering Dataset by Exploiting Image Captions—0
Analyzing English-Spanish Named-Entity enhanced Machine Translation—0
Augment Dependency-to-String Translation with Fixed and Floating Structures—0
Audiovisual Translation through NMT and Subtitling in the Netflix Series ‘Cable Girls’—0
Analyzing Context Utilization of LLMs in Document-Level Translation—0
A Deep Investigation of RNN and Self-attention for the Cyrillic-Traditional Mongolian Bidirectional Conversion—0
Audiovisual Transformer Architectures for Large-Scale Classification and Synchronization of Weakly Labeled Audio Events—0
Audience-specific Explanations for Machine Translation—0
Analyzing Context Contributions in LLM-based Machine Translation—0
A Two-Stage Curriculum Training Framework for NMT—0
A Two-level Classifier for Discriminating Similar Languages—0
Analyzing Architectures for Neural Machine Translation Using Low Computational Resources—0
A Deep Fusion Model for Domain Adaptation in Phrase-based MT—0
A Comparison Between Morphological Complexity Measures: Typological Data vs. Language Corpora—0
Analyzing and Exploiting NARX Recurrent Neural Networks for Long-Term Dependencies—0
AttS2S-VC: Sequence-to-Sequence Voice Conversion with Attention and Context Preservation Mechanisms—0
A Deeper Exploration of the Standard PB-SMT Approach to Text Simplification and its Evaluation—0
Attribute based Chinese Named Entity Recognition and Disambiguation—0
attr2vec: Jointly Learning Word and Contextual Attribute Embeddings with Factorization Machines—0
Analysis Tool for UNL-Based Knowledge Representation—0
CUNI Systems for the Unsupervised News Translation Task in WMT 2019—0
Analysis of Positional Encodings for Neural Machine Translation—0
A Comparison between Count and Neural Network Models Based on Joint Translation and Reordering Sequences—0
Attentive Language Models—0
Crossing the Conversational Chasm: A Primer on Natural Language Processing for Multilingual Task-Oriented Dialogue Systems—0
Analysis of Levenshtein Transformer's Decoder and Its Variants—0
Addressing Zero-Resource Domains Using Document-Level Context in Neural Machine Translation—0
A Binarized Neural Network Joint Model for Machine Translation—0
CUNI Systems for the WMT22 Czech-Ukrainian Translation Task—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