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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 2001–2050 of 10752 papers

TitleStatusHype
A Novel Chinese Dialect TTS Frontend with Non-Autoregressive Neural Machine Translation—0
Dict-NMT: Bilingual Dictionary based NMT for Extremely Low Resource Languages—0
LegoNN: Building Modular Encoder-Decoder Models—0
DiMS: Distilling Multiple Steps of Iterative Non-Autoregressive Transformers for Machine TranslationCode0
Pretrained Models for Multilingual Federated LearningCode1
MorisienMT: A Dataset for Mauritian Creole Machine Translation—0
Bi-SimCut: A Simple Strategy for Boosting Neural Machine TranslationCode1
Multilingual Neural Machine Translation with Deep Encoder and Multiple Shallow Decoders—0
Finetuning a Kalaallisut-English machine translation system using web-crawled data—0
Findings of the The RuATD Shared Task 2022 on Artificial Text Detection in RussianCode1
Finding the Right Recipe for Low Resource Domain Adaptation in Neural Machine Translation—0
BayesFormer: Transformer with Uncertainty Estimation—0
Construction and Validation of a Japanese Honorific Corpus Based on Systemic Functional Linguistics—0
The Nós Project: Opening routes for the Galician language in the field of language technologies—0
LiSTra Automatic Speech Translation: English to Lingala Case Study—0
Language Planning in Action: Depiction as a Driver of New Terminology in Irish Sign Language—0
Introducing RezoJDM16k: a French KnowledgeGraph DataSet for Link Prediction—0
Translation Memories as Baselines for Low-Resource Machine Translation—0
MC-TRISLAN: A Large 3D Motion Capture Sign Language Data-set—0
Challenges of Building Domain-Specific Parallel Corpora from Public Administration Documents—0
ENRICH4ALL: A First Luxembourgish BERT Model for a Multilingual Chatbot—0
GeezSwitch: Language Identification in Typologically Related Low-resourced East African LanguagesCode0
Cross-lingual and Multilingual CLIPCode2
Machine Translation from Standard German to Alemannic Dialects—0
Building Domain-specific Corpora from the Web: the Case of European Digital Service Infrastructures—0
Evaluating Pre-training Objectives for Low-Resource Translation into Morphologically Rich Languages—0
KC4MT: A High-Quality Corpus for Multilingual Machine Translation—0
CUNI Submission to the BUCC 2022 Shared Task on Bilingual Term Alignment—0
BERTology for Machine Translation: What BERT Knows about Linguistic Difficulties for Translation—0
Low-resource Neural Machine Translation: Benchmarking State-of-the-art Transformer for Wolof<->French—0
CUNI Submission to MT4All Shared Task—0
Machine Translation of 16Th Century Letters from Latin to German—0
Automatic Bilingual Phrase Dictionary Construction from GIZA++ Output—0
gaHealth: An English–Irish Bilingual Corpus of Health DataCode0
On “Human Parity” and “Super Human Performance” in Machine Translation Evaluation—0
A Survey of Machine Translation Tasks on Nigerian Languages—0
A Benchmark Dataset for Multi-Level Complexity-Controllable Machine TranslationCode0
A Machine Learning-based Segmentation Approach for Measuring Similarity between Sign Languages—0
Constructing Parallel Corpora from COVID-19 News using MediSys Metadata—0
A Semi-Automated Live Interlingual Communication Workflow Featuring Intralingual Respeaking: Evaluation and Benchmarking—0
Compiling a Highly Accurate Bilingual Lexicon by Combining Different Approaches—0
MTLens: Machine Translation Output Debugging—0
Unsupervised Machine Translation in Real-World Scenarios—0
Language Technologies for the Creation of Multilingual Terminologies. Lessons Learned from the SSHOC Project—0
Domain Mismatch Doesn’t Always Prevent Cross-lingual Transfer Learning—0
Introducing EM-FT for Manipuri-English Neural Machine Translation—0
Nunc profana tractemus. Detecting Code-Switching in a Large Corpus of 16th Century Letters—0
Empirical Analysis of Noising Scheme based Synthetic Data Generation for Automatic Post-editing—0
Building Sentiment Lexicons for Mainland Scandinavian Languages Using Machine Translation and Sentence Embeddings—0
Building Comparable Corpora for Assessing Multi-Word Term Alignment—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