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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 5751–5800 of 10752 papers

TitleStatusHype
An Analysis of Encoder Representations in Transformer-Based Machine Translation—0
`Indicatements' that character language models learn English morpho-syntactic units and regularities—0
Convolutions Are All You Need (For Classifying Character Sequences)—0
Importance of Self-Attention for Sentiment Analysis—0
When does deep multi-task learning work for loosely related document classification tasks?—0
Toward Universal Dependencies for Shipibo-Konibo—0
Sisyphus, a Workflow Manager Designed for Machine Translation and Automatic Speech Recognition—0
An Interactive Web-Interface for Visualizing the Inner Workings of the Question Answering LSTM—0
Towards Linear Time Neural Machine Translation with Capsule Networks—0
Learning Unsupervised Word Mapping by Maximizing Mean Discrepancy—0
Latent Variable Model for Multi-modal TranslationCode0
Language-Independent Representor for Neural Machine Translation—0
Addressing word-order Divergence in Multilingual Neural Machine Translation for extremely Low Resource Languages—0
Hybrid Self-Attention Network for Machine Translation—0
How2: A Large-scale Dataset for Multimodal Language UnderstandingCode1
Cross-Lingual Transfer Learning for Multilingual Task Oriented Dialog—0
Hallucinations in neural machine translation—0
Machine Translation between Vietnamese and English: an Empirical Study—0
Simplifying Neural Machine Translation with Addition-Subtraction Twin-Gated Recurrent NetworksCode0
Unsupervised Neural Machine Translation Initialized by Unsupervised Statistical Machine Translation—0
Learning to Teach with Dynamic Loss Functions—0
Learning to Screen for Fast Softmax Inference on Large Vocabulary Neural Networks—0
On Controllable Sparse Alternatives to Softmax—0
Parallel Attention Mechanisms in Neural Machine Translation—0
Counting in Language with RNNs—0
The MeMAD Submission to the IWSLT 2018 Speech Translation Task—0
Exploiting Deep Representations for Neural Machine Translation—0
Learning to Discriminate Noises for Incorporating External Information in Neural Machine Translation—0
Modeling Localness for Self-Attention Networks—0
Out-of-Order Decoding for Robust Neural Machine Translation—0
Area AttentionCode0
Language Modeling at Scale—0
Learning Robust Joint Representations for Multimodal Sentiment Analysis—0
On Zero-shot Cross-lingual Transfer of Multilingual Neural Machine Translation—0
Identifying and Controlling Important Neurons in Neural Machine Translation—0
Abstractive Summarization Using Attentive Neural TechniquesCode0
Improving Multilingual Semantic Textual Similarity with Shared Sentence Encoder for Low-resource Languages—0
Optimizing Segmentation Granularity for Neural Machine Translation—0
Impact of Corpora Quality on Neural Machine TranslationCode0
Sequence to Sequence Mixture Model for Diverse Machine Translation—0
An Analysis of Attention Mechanisms: The Case of Word Sense Disambiguation in Neural Machine Translation—0
Fine-tuning on Clean Data for End-to-End Speech Translation: FBK @ IWSLT 2018—0
Multi-Source Neural Machine Translation with Data Augmentation—0
UMONS Submission for WMT18 Multimodal Translation TaskCode0
Bringing back simplicity and lightliness into neural image captioning—0
(Self-Attentive) Autoencoder-based Universal Language Representation for Machine Translation—0
Robust Neural Machine Translation with Joint Textual and Phonetic Embedding—0
Learning to Jointly Translate and Predict Dropped Pronouns with a Shared Reconstruction Mechanism—0
Simple and Effective Text Simplification Using Semantic and Neural Methods—0
Exploring the Use of Attention within an Neural Machine Translation Decoder States to Translate Idioms—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