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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 2551–2600 of 10752 papers

TitleStatusHype
A Taxonomy of Bias-Causing Ambiguities in Machine Translation—0
LSX_team5 at SemEval-2022 Task 8: Multilingual News Article Similarity Assessment based on Word- and Sentence Mover’s Distance—0
Raccoons at SemEval-2022 Task 11: Leveraging Concatenated Word Embeddings for Named Entity Recognition—0
How to Translate Your Samples and Choose Your Shots? Analyzing Translate-train & Few-shot Cross-lingual Transfer—0
Code Translation with Compiler Representations—0
Building Multilingual Machine Translation Systems That Serve Arbitrary X-Y Translations—0
GERNERMED++: Transfer Learning in German Medical NLPCode0
Your Autoregressive Generative Model Can be Better If You Treat It as an Energy-Based One—0
Probing Causes of Hallucinations in Neural Machine Translations—0
Evaluation of Semantic Answer Similarity MetricsCode0
Answer Fast: Accelerating BERT on the Tensor Streaming Processor—0
Towards Unsupervised Content Disentanglement in Sentence Representations via Syntactic RolesCode0
Scaling Autoregressive Models for Content-Rich Text-to-Image GenerationCode0
Comparing Formulaic Language in Human and Machine Translation: Insight from a Parliamentary Corpus—0
0/1 Deep Neural Networks via Block Coordinate Descent—0
The ITU Faroese Pairs Dataset—0
Statistical and Neural Methods for Cross-lingual Entity Label Mapping in Knowledge Graphs—0
An Extractive-and-Abstractive Framework for Source Code SummarizationCode0
FreeTransfer-X: Safe and Label-Free Cross-Lingual Transfer from Off-the-Shelf Models—0
An Exploration of Post-Editing Effectiveness in Text Summarization—0
Can the Language of the Collation be Translated into the Language of the Stemma? Using Machine Translation for Witness Localization—0
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
MorisienMT: A Dataset for Mauritian Creole Machine Translation—0
Multilingual Neural Machine Translation with Deep Encoder and Multiple Shallow Decoders—0
Finetuning a Kalaallisut-English machine translation system using web-crawled data—0
BayesFormer: Transformer with Uncertainty Estimation—0
Finding the Right Recipe for Low Resource Domain Adaptation in Neural Machine Translation—0
Exploring Diversity in Back Translation for Low-Resource Machine TranslationCode0
Fast-Paced Improvements to Named Entity Handling for Neural Machine Translation—0
GECO-MT: The Ghent Eye-tracking Corpus of Machine Translation—0
MTee: Open Machine Translation Platform for Estonian Government—0
Developing Machine Translation Engines for Multilingual Participatory Spaces—0
On “Human Parity” and “Super Human Performance” in Machine Translation Evaluation—0
Unsupervised Machine Translation in Real-World Scenarios—0
A Semi-Automated Live Interlingual Communication Workflow Featuring Intralingual Respeaking: Evaluation and Benchmarking—0
Language Technologies for the Creation of Multilingual Terminologies. Lessons Learned from the SSHOC Project—0
ENRICH4ALL: A First Luxembourgish BERT Model for a Multilingual Chatbot—0
Machine Translation of 16Th Century Letters from Latin to German—0
SciPar: A Collection of Parallel Corpora from Scientific Abstracts—0
InDeep × NMT: Empowering Human Translators via Interpretable Neural Machine Translation—0
The LTRC Hindi-Telugu Parallel Corpus—0
Error Annotation in Post-Editing Machine Translation: Investigating the Impact of Text-to-Speech Technology—0
“Hi, how can I help you?” Improving Machine Translation of Conversational Content in a Business Context—0
Language Resources to Support Language Diversity – the ELRA Achievements—0
Domain Adaptation for Neural Machine Translation—0
Challenges of Neural Machine Translation for Short Texts—0
Challenges of Building Domain-Specific Parallel Corpora from Public Administration Documents—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