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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 7901–7950 of 10752 papers

TitleStatusHype
LMU Munich's Neural Machine Translation Systems for News Articles and Health Information Texts—0
Load-balanced Gather-scatter Patterns for Sparse Deep Neural Networks—0
Local Interpretations for Explainable Natural Language Processing: A Survey—0
Localising the Clinical Terminology SNOMED CT by Semi-automated Creation of a German Interface Vocabulary—0
Locality-Sensitive Hashing for Long Context Neural Machine Translation—0
Localizing AI: Evaluating Open-Weight Language Models for Languages of Baltic States—0
Locally Non-Linear Learning for Statistical Machine Translation via Discretization and Structured Regularization—0
Locally Training the Log-Linear Model for SMT—0
Local Monotonic Attention Mechanism for End-to-End Speech and Language Processing—0
Local Phrase Reordering Model for Chinese-English Patent Machine Translation—0
Local String Transduction as Sequence Labeling—0
Local System Voting Feature for Machine Translation System Combination—0
Local Translation Prediction with Global Sentence Representation—0
LoCoML: A Framework for Real-World ML Inference Pipelines—0
Logistic Regression for Automatic Lexical Level Morphological Paradigm Selection for Konkani Nouns—0
Log-linear Combinations of Monolingual and Bilingual Neural Machine Translation Models for Automatic Post-Editing—0
Log-linear Models for Uyghur Segmentation in Spoken Language Translation—0
Log-Linear Reformulation of the Noisy Channel Model for Document-Level Neural Machine Translation—0
Logographic Subword Model for Neural Machine Translation—0
Long-form Simultaneous Speech Translation: Thesis Proposal—0
Long-Short Term Masking Transformer: A Simple but Effective Baseline for Document-level Neural Machine Translation—0
Long Short-Term Memory Over Tree Structures—0
Long Warm-up and Self-Training: Training Strategies of NICT-2 NMT System at WAT-2019—0
Look-ahead Attention for Generation in Neural Machine Translation—0
Look Backward and Forward: Self-Knowledge Distillation with Bidirectional Decoder for Neural Machine Translation—0
Look Harder: A Neural Machine Translation Model with Hard Attention—0
Looking inside Noun Compounds: Unsupervised Prepositional and Free Paraphrasing—0
Look It Up: Bilingual Dictionaries Improve Neural Machine Translation—0
LORIA System for the WMT12 Quality Estimation Shared Task—0
LORIA System for the WMT13 Quality Estimation Shared Task—0
LORIA System for the WMT15 Quality Estimation Shared Task—0
Losing Heads in the Lottery: Pruning Transformer Attention in Neural Machine Translation—0
Lossless Data Compression with Transformer—0
Lost in Back-Translation: Emotion Preservation in Neural Machine Translation—0
The Secret is in the Spectra: Predicting Cross-lingual Task Performance with Spectral Similarity Measures—0
Lost in Interpreting: Speech Translation from Source or Interpreter?—0
Lost in Translation: Analysis of Information Loss During Machine Translation Between Polysynthetic and Fusional Languages—0
Lost in Translation: Loss and Decay of Linguistic Richness in Machine Translation—0
Lost in Translations? Building Sentiment Lexicons using Context Based Machine Translation—0
Love Thy Neighbor: Combining Two Neighboring Low-Resource Languages for Translation—0
Low-Dimensional Discriminative Reranking—0
Low-Latency Neural Speech Translation—0
Low-Memory Neural Network Training: A Technical Report—0
Low rank softmax can have unargmaxable classes in theory but rarely in practice—0
Low Resource Dependency Parsing: Cross-lingual Parameter Sharing in a Neural Network Parser—0
Low-Resourced Machine Translation for Senegalese Wolof Language—0
Low Resourced Machine Translation via Morpho-syntactic Modeling: The Case of Dialectal Arabic—0
Low-Resource Machine Translation based on Asynchronous Dynamic Programming—0
Low-resource Machine Translation for Code-switched Kazakh-Russian Language Pair—0
Low-Resource Machine Translation Training Curriculum Fit for Low-Resource Languages—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