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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 6251–6300 of 10752 papers

TitleStatusHype
Variational Inference and Deep Generative Models—0
Improving Beam Search by Removing Monotonic Constraint for Neural Machine Translation—0
A Multi-lingual Multi-task Architecture for Low-resource Sequence LabelingCode0
Illustrative Language Understanding: Large-Scale Visual Grounding with Image Search—0
Moon IME: Neural-based Chinese Pinyin Aided Input Method with Customizable Association—0
How Much Attention Do You Need? A Granular Analysis of Neural Machine Translation Architectures—0
Word Embedding and WordNet Based Metaphor Identification and Interpretation—0
Split and Rephrase: Better Evaluation and Stronger BaselinesCode0
Word Error Rate Estimation for Speech Recognition: e-WERCode1
Lost in Translation: Analysis of Information Loss During Machine Translation Between Polysynthetic and Fusional Languages—0
Neural Machine Translation with Key-Value Memory-Augmented Attention—0
Graph-to-Sequence Learning using Gated Graph Neural NetworksCode1
Neural Machine Translation for Low Resource Languages using Bilingual Lexicon Induced from Comparable Corpora—0
On Adversarial Examples for Character-Level Neural Machine TranslationCode0
Persistent Hidden States and Nonlinear Transformation for Long Short-Term Memory—0
BFGAN: Backward and Forward Generative Adversarial Networks for Lexically Constrained Sentence Generation—0
The Natural Language Decathlon: Multitask Learning as Question AnsweringCode1
Learning from Chunk-based Feedback in Neural Machine Translation—0
A Comparison of Transformer and Recurrent Neural Networks on Multilingual Neural Machine Translation—0
Unsupervised Word Segmentation from Speech with Attention—0
Morphological and Language-Agnostic Word Segmentation for NMTCode0
Extracting Parallel Sentences with Bidirectional Recurrent Neural Networks to Improve Machine TranslationCode0
An Evaluation of Neural Machine Translation Models on Historical Spelling NormalizationCode0
Generative Neural Machine Translation—0
Explaining and Generalizing Back-Translation through Wake-Sleep—0
Multi-Task Neural Models for Translating Between Styles Within and Across LanguagesCode0
Fusing Recency into Neural Machine Translation with an Inter-Sentence Gate Model—0
Navigating with Graph Representations for Fast and Scalable Decoding of Neural Language Models—0
SciDTB: Discourse Dependency TreeBank for Scientific AbstractsCode0
Deconvolution-Based Global Decoding for Neural Machine TranslationCode0
Incremental Decoding and Training Methods for Simultaneous Translation in Neural Machine Translation—0
Findings of the Second Workshop on Neural Machine Translation and Generation—0
Multilingual Neural Machine Translation with Task-Specific Attention—0
Emoji-Powered Representation Learning for Cross-Lingual Sentiment ClassificationCode0
Multi-Source Neural Machine Translation with Missing Data—0
A Challenge Set for French --> English Machine Translation—0
Characterizing Departures from Linearity in Word Translation—0
An Explainable Adversarial Robustness Metric for Deep Learning Neural Networks—0
How Do Source-side Monolingual Word Embeddings Impact Neural Machine Translation?—0
Dense Information Flow for Neural Machine TranslationCode0
Fast Locality Sensitive Hashing for Beam Search on GPU—0
Neural Sign Language TranslationCode0
CLUF: a Neural Model for Second Language Acquisition Modeling—0
Entropy-Based Subword Mining with an Application to Word Embeddings—0
Neural Event Extraction from Movies Description—0
Enabling Deep Learning of Emotion With First-Person Seed Expressions—0
An LSTM-CRF Based Approach to Token-Level Metaphor Detection—0
Phrase-Level Metaphor Identification Using Distributed Representations of Word Meaning—0
Meaningless yet meaningful: Morphology grounded subword-level NMT—0
Predicting Authorship and Author Traits from Keystroke Dynamics—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