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

Showing 9511000 of 10752 papers

TitleStatusHype
Arabizi vs LLMs: Can the Genie Understand the Language of Aladdin?0
Are BLEU and Meaning Representation in Opposition?0
A Recipe for Arabic-English Neural Machine Translation0
A Recipe of Parallel Corpora Exploitation for Multilingual Large Language Models0
A Recurrent Neural Networks Approach for Estimating the Quality of Machine Translation Output0
A Recursive Recurrent Neural Network for Statistical Machine Translation0
Are Ellipses Important for Machine Translation?0
Alibaba's Neural Machine Translation Systems for WMT180
Arabic Textual Entailment with Word Embeddings0
Adapting Multilingual Parsing Models to Sinica Treebank0
A Large-Scale Evaluation of Pre-editing Strategies for Improving User-Generated Content Translation0
Adapting Grammatical Error Correction Based on the Native Language of Writers with Neural Network Joint Models0
Alibaba Submission to the WMT18 Parallel Corpus Filtering Task0
A Relaxed Optimization Approach for Adversarial Attacks against Neural Machine Translation Models0
A Repository of Data and Evaluation Resources for Natural Language Generation0
Arabic-Segmentation Combination Strategies for Statistical Machine Translation0
Alien Coding0
Adapting Neural Machine Translation with Parallel Synthetic Data0
Are Two Heads Better than One? Crowdsourced Translation via a Two-Step Collaboration of Non-Professional Translators and Editors0
A Review of Discourse-level Machine Translation0
A review of faithfulness metrics for hallucination assessment in Large Language Models0
A Review of Hybrid and Ensemble in Deep Learning for Natural Language Processing0
A Review of Reinforcement Learning for Natural Language Processing, and Applications in Healthcare0
A review of sentiment analysis research in Arabic language0
Adapting Entities across Languages and Cultures0
Are we Estimating or Guesstimating Translation Quality?0
Are You Sure? Confidence in Prediction of Dependency Tree Edges0
Argument structure of adverbial derivatives in Russian0
A Richly Annotated, Multilingual Parallel Corpus for Hybrid Machine Translation0
A Rich Morphological Tagger for English: Exploring the Cross-Linguistic Tradeoff Between Morphology and Syntax0
Arithmetic Sampling: Parallel Diverse Decoding for Large Language Models0
A Roadmap for Big Model0
Accurate Online Posterior Alignments for Principled Lexically-Constrained Decoding0
A Rough Set Formalization of Quantitative Evaluation with Ambiguity0
Arabic-English Text Translation Leveraging Hybrid NER0
Artificial intelligence contribution to translation industry: looking back and forward0
Aligning Bilingual Literary Works: a Pilot Study0
A Rule-Augmented Statistical Phrase-based Translation System0
A rule based approach for automatic clause boundary detection and classification in Hindi0
A Rule-based Shallow-transfer Machine Translation System for Scots and English0
Arabic-English Semantic Word Class Alignment to Improve Statistical Machine Translation0
Aligning context-based statistical models of language with brain activity during reading0
A Large Parallel Corpus of Full-Text Scientific Articles0
ArzEn-ST: A Three-way Speech Translation Corpus for Code-Switched Egyptian Arabic - English0
A Scalable Distributed Syntactic, Semantic, and Lexical Language Model0
Aligning Neural Machine Translation Models: Human Feedback in Training and Inference0
A Semantic Evaluation of Machine Translation Lexical Choice0
A Semantic QA-Based Approach for Text Summarization Evaluation0
A Semi-Automated Live Interlingual Communication Workflow Featuring Intralingual Respeaking: Evaluation and Benchmarking0
An Empirical Study of Generation Order for Machine Translation0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Transformer Cycle (Rev)BLEU score35.14Unverified
2Noisy back-translationBLEU score35Unverified
3Transformer+Rep(Uni)BLEU score33.89Unverified
4T5-11BBLEU score32.1Unverified
5BiBERTBLEU score31.26Unverified
6Transformer + R-DropBLEU score30.91Unverified
7Bi-SimCutBLEU score30.78Unverified
8BERT-fused NMTBLEU score30.75Unverified
9Data Diversification - TransformerBLEU score30.7Unverified
10SimCutBLEU score30.56Unverified
#ModelMetricClaimedVerifiedStatus
1Transformer+BT (ADMIN init)BLEU score46.4Unverified
2Noisy back-translationBLEU score45.6Unverified
3mRASP+Fine-TuneBLEU score44.3Unverified
4Transformer + R-DropBLEU score43.95Unverified
5Transformer (ADMIN init)BLEU score43.8Unverified
6AdminBLEU score43.8Unverified
7BERT-fused NMTBLEU score43.78Unverified
8MUSE(Paralllel Multi-scale Attention)BLEU score43.5Unverified
9T5BLEU score43.4Unverified
10Local Joint Self-attentionBLEU score43.3Unverified
#ModelMetricClaimedVerifiedStatus
1PiNMTBLEU score40.43Unverified
2BiBERTBLEU score38.61Unverified
3Bi-SimCutBLEU score38.37Unverified
4Cutoff + Relaxed Attention + LMBLEU score37.96Unverified
5DRDABLEU score37.95Unverified
6Transformer + R-Drop + CutoffBLEU score37.9Unverified
7SimCutBLEU score37.81Unverified
8Cutoff+KneeBLEU score37.78Unverified
9CutoffBLEU score37.6Unverified
10CipherDAugBLEU score37.53Unverified
#ModelMetricClaimedVerifiedStatus
1HWTSC-Teacher-SimScore19.97Unverified
2MS-COMET-22Score19.89Unverified
3MS-COMET-QE-22Score19.76Unverified
4KG-BERTScoreScore17.28Unverified
5metricx_xl_DA_2019Score17.17Unverified
6COMET-QEScore16.8Unverified
7COMET-22Score16.31Unverified
8UniTE-srcScore15.68Unverified
9UniTE-refScore15.38Unverified
10metricx_xxl_DA_2019Score15.24Unverified