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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 2101–2150 of 10752 papers

TitleStatusHype
Synthetic Cross-language Information Retrieval Training Data—0
Prompt Engineering for Healthcare: Methodologies and Applications—0
Tensor Decomposition for Model Reduction in Neural Networks: A Review—0
State Spaces Aren't Enough: Machine Translation Needs Attention—0
Escaping the sentence-level paradigm in machine translationCode0
PAXQA: Generating Cross-lingual Question Answering Examples at Training ScaleCode0
NAIST-SIC-Aligned: an Aligned English-Japanese Simultaneous Interpretation CorpusCode0
Lost in Translationese? Reducing Translation Effect Using Abstract Meaning RepresentationCode0
Exploring Paracrawl for Document-level Neural Machine TranslationCode0
Improving Speech Translation by Cross-Modal Multi-Grained Contrastive Learning—0
Decouple Non-parametric Knowledge Distillation For End-to-end Speech Translation—0
An Empirical Study of Leveraging Knowledge Distillation for Compressing Multilingual Neural Machine Translation Models—0
Low-resource Bilingual Dialect Lexicon Induction with Large Language ModelsCode0
The eBible Corpus: Data and Model Benchmarks for Bible Translation for Low-Resource LanguagesCode0
Tailoring Domain Adaptation for Machine Translation Quality EstimationCode0
Improving Autoregressive NLP Tasks via Modular Linearized Attention—0
Neural Machine Translation For Low Resource LanguagesCode0
A Comprehensive Evaluation of Neural SPARQL Query Generation from Natural Language Questions—0
TransDocs: Optical Character Recognition with word to word translationCode0
Just Tell Me: Prompt Engineering in Business Process Management—0
Learning Homographic Disambiguation Representation for Neural Machine Translation—0
DISTO: Evaluating Textual Distractors for Multi-Choice Questions using Negative Sampling based Approach—0
RISC: Generating Realistic Synthetic Bilingual Insurance ContractCode0
Decoder-Only or Encoder-Decoder? Interpreting Language Model as a Regularized Encoder-Decoder—0
A Simple and Effective Method of Cross-Lingual Plagiarism Detection—0
PEACH: Pre-Training Sequence-to-Sequence Multilingual Models for Translation with Semi-Supervised Pseudo-Parallel Document GenerationCode0
LAHM : Large Annotated Dataset for Multi-Domain and Multilingual Hate Speech Identification—0
Semi-supervised Neural Machine Translation with Consistency Regularization for Low-Resource Languages—0
Selective Knowledge Distillation for Non-Autoregressive Neural Machine Translation—0
Exploiting Multilingualism in Low-resource Neural Machine Translation via Adversarial Learning—0
KÚ <MASK>: Integrating Yorùbá cultural greetings into machine translation—0
Reference-less Analysis of Context Specificity in Translation with Personalised Language ModelsCode0
Sejarah dan Perkembangan Teknik Natural Language Processing (NLP) Bahasa Indonesia: Tinjauan tentang sejarah, perkembangan teknologi, dan aplikasi NLP dalam bahasa Indonesia—0
Comparative Analysis of CHATGPT and the evolution of language models—0
Bilex Rx: Lexical Data Augmentation for Massively Multilingual Machine Translation—0
Linguistically Informed ChatGPT Prompts to Enhance Japanese-Chinese Machine Translation: A Case Study on Attributive Clauses—0
Return of the RNN: Residual Recurrent Networks for Invertible Sentence Embeddings—0
Selective Data Augmentation for Robust Speech Translation—0
Unlocking Layer-wise Relevance Propagation for Autoencoders—0
LEAPT: Learning Adaptive Prefix-to-prefix Translation For Simultaneous Machine Translation—0
Towards Reliable Neural Machine Translation with Consistency-Aware Meta-Learning—0
PanGu-Σ: Towards Trillion Parameter Language Model with Sparse Heterogeneous Computing—0
Translate your gibberish: black-box adversarial attack on machine translation systemsCode0
RenewNAT: Renewing Potential Translation for Non-Autoregressive Transformer—0
AMOM: Adaptive Masking over Masking for Conditional Masked Language ModelCode0
Towards MoE Deployment: Mitigating Inefficiencies in Mixture-of-Expert (MoE) Inference—0
An Overview on Language Models: Recent Developments and Outlook—0
Exploring the Feasibility of ChatGPT for Event Extraction—0
Preparing the Vuk'uzenzele and ZA-gov-multilingual South African multilingual corporaCode0
GATE: A Challenge Set for Gender-Ambiguous Translation ExamplesCode0
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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
5AdminBLEU score43.8—Unverified
6Transformer (ADMIN init)BLEU 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