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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 4901–4950 of 10752 papers

TitleStatusHype
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
Using Interlinear Glosses as Pivot in Low-Resource Multilingual Machine Translation—0
Low-Resource Machine Translation Using Cross-Lingual Language Model Pretraining—0
Low-resource Machine Translation: what for? who for? An observational study on a dedicated Tetun language translation service—0
Low-Resource Machine Transliteration Using Recurrent Neural Networks of Asian Languages—0
Low Resource Multimodal Neural Machine Translation of English-Hindi in News Domain—0
Low-resource Neural Machine Translation: Benchmarking State-of-the-art Transformer for Wolof<->French—0
Low-Resource Neural Machine Translation for Southern African Languages—0
Low-Resource Semantic Role Labeling—0
Low Resource Similar Language Neural Machine Translation for Tamil-Telugu—0
Low-Resource Speech-to-Text Translation—0
Low-Resource Translation as Language Modeling—0
LR Parsing for LCFRS—0
LSDSCC: a Large Scale Domain-Specific Conversational Corpus for Response Generation with Diversity Oriented Evaluation Metrics—0
LSTM Neural Reordering Feature for Statistical Machine Translation—0
LSTMs Can Learn Syntax-Sensitive Dependencies Well, But Modeling Structure Makes Them Better—0
LSX_team5 at SemEval-2022 Task 8: Multilingual News Article Similarity Assessment based on Word- and Sentence Mover’s Distance—0
LTRC-MT Simple \& Effective Hindi-English Neural Machine Translation Systems at WAT 2019—0
Lump at SemEval-2017 Task 1: Towards an Interlingua Semantic Similarity—0
LV-CTC: Non-autoregressive ASR with CTC and latent variable models—0
LVP-M3: Language-aware Visual Prompt for Multilingual Multimodal Machine Translation—0
LZ1904 at SemEval-2021 Task 5: Bi-LSTM-CRF for Toxic Span Detection using Pretrained Word Embedding—0
M3D-GAN: Multi-Modal Multi-Domain Translation with Universal Attention—0
m3P: Towards Multimodal Multilingual Translation with Multimodal Prompt—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