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 3651–3700 of 10752 papers

TitleStatusHype
Data Filtering using Cross-Lingual Word Embeddings—0
NRC-CNRC Machine Translation Systems for the 2021 AmericasNLP Shared Task—0
Moses and the Character-Based Random Babbling Baseline: CoAStaL at AmericasNLP 2021 Shared Task—0
Parallel sentences mining with transfer learning in an unsupervised setting—0
The REPU CS’ Spanish–Quechua Submission to the AmericasNLP 2021 Shared Task on Open Machine Translation—0
Cultural and Geographical Influences on Image Translatability of Words across LanguagesCode0
Autocorrect in the Process of Translation --- Multi-task Learning Improves Dialogue Machine Translation—0
SGL: Speaking the Graph Languages of Semantic Parsing via Multilingual TranslationCode0
Les lettres et la machine : un état de l’art en traduction littéraire automatique (Machines in the humanities: current state of the art in literary machine translation)—0
Cross-lingual Cross-modal Pretraining for Multimodal Retrieval—0
Syntax-Based Attention Masking for Neural Machine Translation—0
Training Data Augmentation for Code-Mixed TranslationCode0
On Randomized Classification Layers and Their Implications in Natural Language Generation—0
Continuous Model Improvement for Language Understanding with Machine Translation—0
Continual Learning for Neural Machine Translation—0
Context-Interactive Pre-Training for Document Machine Translation—0
Gated Convolutional Sequence to Sequence Based Learning for English-Hingilsh Code-Switched Machine Translation.—0
Compositional Generalization for Neural Semantic Parsing via Span-level Supervised Attention—0
Highland Puebla Nahuatl Speech Translation Corpus for Endangered Language Documentation—0
Almost Free Semantic Draft for Neural Machine Translation—0
CoMeT: Towards Code-Mixed Translation Using Parallel Monolingual SentencesCode0
Adapting High-resource NMT Models to Translate Low-resource Related Languages without Parallel DataCode0
Do Multilingual Neural Machine Translation Models Contain Language Pair Specific Attention Heads?—0
Beyond Noise: Mitigating the Impact of Fine-grained Semantic Divergences on Neural Machine TranslationCode0
Bangla Natural Language Processing: A Comprehensive Analysis of Classical, Machine Learning, and Deep Learning Based Methods—0
Verdi: Quality Estimation and Error Detection for Bilingual CorporaCode0
POS-Tagging based Neural Machine Translation System for European Languages using Transformers—0
Good for Misconceived Reasons: An Empirical Revisiting on the Need for Visual Context in Multimodal Machine Translation—0
Grammar Accuracy Evaluation (GAE): Quantifiable Quantitative Evaluation of Machine Translation Models—0
Korean-English Machine Translation with Multiple Tokenization StrategyCode0
Reinforcement Learning for on-line Sequence Transformation—0
Investigating Code-Mixed Modern Standard Arabic-Egyptian to English Machine Translation—0
Extremely low-resource machine translation for closely related languages—0
TranSmart: A Practical Interactive Machine Translation System—0
How Does Distilled Data Complexity Impact the Quality and Confidence of Non-Autoregressive Machine Translation?—0
Online Learning Meets Machine Translation Evaluation: Finding the Best Systems with the Least Human EffortCode0
Data Expansion using Back Translation and Paraphrasing for Hate Speech Detection—0
IntelliCAT: Intelligent Machine Translation Post-Editing with Quality Estimation and Translation Suggestion—0
Unsupervised Multilingual Sentence Embeddings for Parallel Corpus Mining—0
Multi-source Learning via Completion of Block-wise Overlapping Noisy Matrices—0
Investigating Math Word Problems using Pretrained Multilingual Language ModelsCode0
Training Heterogeneous Features in Sequence to Sequence Tasks: Latent Enhanced Multi-filter Seq2Seq ModelCode0
Exploring Text-to-Text Transformers for English to Hinglish Machine Translation with Synthetic Code-Mixing—0
Ensemble-based Transfer Learning for Low-resource Machine Translation Quality Estimation—0
Breaking Down Multilingual Machine Translation—0
LiSTra, Automatic Speech Translation: English to Lingala case study—0
Data Augmentation for Sign Language Gloss Translation—0
Multilingual Domain Adaptation for NMT: Decoupling Language and Domain Information with Adapters—0
From Masked Language Modeling to Translation: Non-English Auxiliary Tasks Improve Zero-shot Spoken Language UnderstandingCode0
Rethinking Skip Connection with Layer Normalization in Transformers and ResNets—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