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 3501–3550 of 10752 papers

TitleStatusHype
Hybrid Statistical Machine Translation for English-Myanmar: UTYCC Submission to WAT-2021—0
Corpus Creation and Evaluation for Speech-to-Text and Speech Translation—0
Optimizing Word Alignments with Better Subword Tokenization—0
Keynote Abstract: Events on a Global Scale: Towards Language-Agnostic Event Extraction—0
A Bidirectional Transformer Based Alignment Model for Unsupervised Word Alignment—0
Investigating Softmax Tempering for Training Neural Machine Translation Models—0
Sentiment Preservation in Review Translation using Curriculum-based Re-inforcement Framework—0
Continual Quality Estimation with Online Bayesian Meta-Learning—0
mixSeq: A Simple Data Augmentation Methodfor Neural Machine Translation—0
IMS’ Systems for the IWSLT 2021 Low-Resource Speech Translation Task—0
Manipuri-English Machine Translation using Comparable Corpus—0
Manifold Adversarial Augmentation for Neural Machine Translation—0
MT-Telescope: An interactive platform for contrastive evaluation of MT systems—0
Post-Editing Job Profiles for Subtitlers—0
A Study of Morphological Robustness of Neural Machine TranslationCode0
Surprise Language Challenge: Developing a Neural Machine Translation System between Pashto and English in Two Months—0
The Myth of Signing Avatars—0
Glossary functionality in commercial machine translation: does it help? A first step to identify best practices for a language service provider—0
NHK’s Lexically-Constrained Neural Machine Translation at WAT 2021—0
A Statistical Extension of Byte-Pair EncodingCode0
Love Thy Neighbor: Combining Two Neighboring Low-Resource Languages for Translation—0
Point, Disambiguate and Copy: Incorporating Bilingual Dictionaries for Neural Machine Translation—0
Putting words into the system’s mouth: A targeted attack on neural machine translation using monolingual data poisoningCode0
Video-guided Machine Translation with Spatial Hierarchical Attention Network—0
A Speech-enabled Fixed-phrase Translator for Healthcare Accessibility—0
Difficulty-Aware Machine Translation EvaluationCode0
The Cross-Lingual Arabic Information REtrieval (CLAIRE) System—0
Using Perturbed Length-aware Positional Encoding for Non-autoregressive Neural Machine Translation—0
Cross-lingual Transferring of Pre-trained Contextualized Language Models—0
Revisiting Negation in Neural Machine TranslationCode0
MDQE: A More Accurate Direct Pretraining for Machine Translation Quality Estimation—0
Extending Challenge Sets to Uncover Gender Bias in Machine Translation: Impact of Stereotypical Verbs and Adjectives—0
Tsformer: Time series Transformer for tourism demand forecasting—0
Confidence-Aware Scheduled Sampling for Neural Machine TranslationCode0
What Do You Get When You Cross Beam Search with Nucleus Sampling?—0
More Parameters? No Thanks!Code0
Residual Tree Aggregation of Layers for Neural Machine Translation—0
Integrating Unsupervised Data Generation into Self-Supervised Neural Machine Translation for Low-Resource Languages—0
As Easy as 1, 2, 3: Behavioural Testing of NMT Systems for Numerical TranslationCode0
Dynamic Transformer for Efficient Machine Translation on Embedded Devices—0
On the Copying Behaviors of Pre-Training for Neural Machine TranslationCode0
How to Do Human Evaluation: Best Practices for User Studies in NLP—0
Synthetic Data Generation and Joint Learning for Robust Code-Mixed Translation—0
Efficient automated U-Net based tree crown delineation using UAV multi-spectral imagery on embedded devices—0
From Machine Translation to Code-Switching: Generating High-Quality Code-Switched TextCode0
On the Difficulty of Translating Free-Order Case-Marking LanguagesCode0
Generating Gender Augmented Data for NLP—0
The IWSLT 2021 BUT Speech Translation Systems—0
Zero-shot Speech Translation—0
Putting words into the system's mouth: A targeted attack on neural machine translation using monolingual data poisoningCode0
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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