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 3151–3200 of 10752 papers

TitleStatusHype
An Investigation of Warning Erroneous Chat Translations in Cross-lingual Communication—0
Dynamic Layer Aggregation for Neural Machine Translation with Routing-by-Agreement—0
Dynamic Masking for Improved Stability in Spoken Language Translation—0
Dynamically Composing Domain-Data Selection with Clean-Data Selection by "Co-Curricular Learning" for Neural Machine Translation—0
Dynamic Oracle for Neural Machine Translation in Decoding Phase—0
Dynamic Adaptation of Neural Machine-Translation Systems Through Translation Exemplars—0
Dynamic Position Encoding for Transformers—0
DUTNLP Machine Translation System for WMT21 Triangular Translation Task—0
Bilingual Sentiment Consistency for Statistical Machine Translation—0
Dynamic Sentence Sampling for Efficient Training of Neural Machine Translation—0
An Investigation of the Sampling-Based Alignment Method and Its Contributions—0
Dynamic Terminology Integration Methods in Statistical Machine Translation—0
A general framework for minimizing translation effort: towards a principled combination of translation technologies in computer-aided translation—0
Acquiring Knowledge from Pre-trained Model to Neural Machine Translation—0
A case study on English-Malayalam Machine Translation—0
A3-108 Machine Translation System for Similar Language Translation Shared Task 2020—0
E2E NLG Challenge Submission: Towards Controllable Generation of Diverse Natural Language—0
Dudley North visits North London: Learning When to Transliterate to Arabic—0
EAG: Extract and Generate Multi-way Aligned Corpus for Complete Multi-lingual Neural Machine Translation—0
Bilingual Sentence Alignment of a Parallel Corpus by Using English as a Pivot Language—0
Dual-view Curricular Optimal Transport for Cross-lingual Cross-modal Retrieval—0
Dual Supervised Learning—0
An Investigation of Machine Translation Evaluation Metrics in Cross-lingual Question Answering—0
Echo State Neural Machine Translation—0
Dual Subtitles as Parallel Corpora—0
ECNU at SemEval-2017 Task 1: Leverage Kernel-based Traditional NLP features and Neural Networks to Build a Universal Model for Multilingual and Cross-lingual Semantic Textual Similarity—0
ECNU at SemEval-2018 Task 10: Evaluating Simple but Effective Features on Machine Learning Methods for Semantic Difference Detection—0
ECNUCS: Measuring Short Text Semantic Equivalence Using Multiple Similarity Measurements—0
Controllable Dual Skew Divergence Loss for Neural Machine Translation—0
ECNU: Leveraging on Ensemble of Heterogeneous Features and Information Enrichment for Cross Level Semantic Similarity Estimation—0
ECNU: Leveraging Word Embeddings to Boost Performance for Paraphrase in Twitter—0
Eco.pangeamt: Industrializing Neural MT—0
Echo: Compiler-based GPU Memory Footprint Reduction for LSTM RNN Training—0
EdgeFormer: A Parameter-Efficient Transformer for On-Device Seq2seq Generation—0
Bilingual Methods for Adaptive Training Data Selection for Machine Translation—0
Edinburgh’s End-to-End Multilingual Speech Translation System for IWSLT 2021—0
Edinburgh's Machine Translation Systems for European Language Pairs—0
Edinburgh's Phrase-based Machine Translation Systems for WMT-14—0
Edinburgh's Statistical Machine Translation Systems for WMT16—0
Edinburgh's Submissions to the 2020 Machine Translation Efficiency Task—0
Edinburgh's Syntax-Based Machine Translation Systems—0
Edinburgh's Syntax-Based Systems at WMT 2014—0
Edinburgh's Syntax-Based Systems at WMT 2015—0
EdinSaar@WMT21: North-Germanic Low-Resource Multilingual NMT—0
Dual Reconstruction: a Unifying Objective for Semi-Supervised Neural Machine Translation—0
Edit Distance: A New Data Selection Criterion for Domain Adaptation in SMT—0
Edit Distance Based Curriculum Learning for Paraphrase Generation—0
Bilingually-constrained Synthetic Data for Implicit Discourse Relation Recognition—0
An Introductory Survey on Attention Mechanisms in NLP Problems—0
A Gamified Evaluation and Recruitment Platform for Low Resource Language Machine Translation Systems—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