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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 501–550 of 10752 papers

TitleStatusHype
Investigating Sparsity in Recurrent Neural NetworksCode1
Generating Gender Alternatives in Machine Translation—0
Teaching LLMs at Charles University: Assignments and Activities—0
Simply Trainable Nearest Neighbour Machine Translation with GPU Inference—0
The power of Prompts: Evaluating and Mitigating Gender Bias in MT with LLMs—0
Advancing Neural Network Performance through Emergence-Promoting Initialization SchemeCode0
Granularity is crucial when applying differential privacy to text: An investigation for neural machine translationCode0
Beyond Binary Gender: Evaluating Gender-Inclusive Machine Translation with Ambiguous Attitude WordsCode0
Machine Translation Hallucination Detection for Low and High Resource Languages using Large Language ModelsCode0
Promises and Pitfalls of Generative Masked Language Modeling: Theoretical Framework and Practical Guidelines—0
Fine-grained Gender Control in Machine Translation with Large Language Models—0
Generalization v.s. Memorization: Tracing Language Models' Capabilities Back to Pretraining Data—0
CoVoSwitch: Machine Translation of Synthetic Code-Switched Text Based on Intonation UnitsCode0
Towards Zero-Shot Multimodal Machine TranslationCode0
Translate-and-Revise: Boosting Large Language Models for Constrained Translation—0
Fixed and Adaptive Simultaneous Machine Translation Strategies Using AdaptersCode0
MASIVE: Open-Ended Affective State Identification in English and SpanishCode0
Ancient Korean Archive Translation: Comparison Analysis on Statistical phrase alignment, LLM in-context learning, and inter-methodological approach—0
Scaling Sign Language Translation—0
LLMs-in-the-loop Part-1: Expert Small AI Models for Bio-Medical Text Translation—0
AraFinNLP 2024: The First Arabic Financial NLP Shared Task—0
sPhinX: Sample Efficient Multilingual Instruction Fine-Tuning Through N-shot Guided Prompting—0
Towards Chapter-to-Chapter Context-Aware Literary Translation via Large Language Models—0
DAHRS: Divergence-Aware Hallucination-Remediated SRL Projection—0
Rule-Based, Neural and LLM Back-Translation: Comparative Insights from a Variant of Ladin—0
Learning Program Behavioral Models from Synthesized Input-Output PairsCode1
Tamil Language Computing: the Present and the Future—0
Arabic Automatic Story Generation with Large Language ModelsCode0
Segment-Based Interactive Machine Translation for Pre-trained Models—0
Enhancing Low-Resource NMT with a Multilingual Encoder and Knowledge Distillation: A Case StudyCode0
An Automatic Quality Metric for Evaluating Simultaneous Interpretation—0
Large Language Models for Judicial Entity Extraction: A Comparative Study—0
How Effective are State Space Models for Machine Translation?Code0
Predicting Word Similarity in Context with Referential Translation Machines—0
Rethinking Targeted Adversarial Attacks For Neural Machine TranslationCode0
SmurfCat at PAN 2024 TextDetox: Alignment of Multilingual Transformers for Text DetoxificationCode0
Enhancing Language Learning through Technology: Introducing a New English-Azerbaijani (Arabic Script) Parallel Corpus—0
NADI 2024: The Fifth Nuanced Arabic Dialect Identification Shared Task—0
Automatic Prediction of the Performance of Every Parser—0
Identifying Intensity of the Structure and Content in Tweets and the Discriminative Power of Attributes in Context with Referential Translation Machines—0
Toucan: Many-to-Many Translation for 150 African Language PairsCode0
QET: Enhancing Quantized LLM Parameters and KV cache Compression through Element Substitution and Residual Clustering—0
Finetuning End-to-End Models for Estonian Conversational Spoken Language Translation—0
Regurgitative Training: The Value of Real Data in Training Large Language Models—0
Sentence-level Aggregation of Lexical Metrics Correlates Stronger with Human Judgements than Corpus-level Aggregation—0
CATT: Character-based Arabic Tashkeel TransformerCode2
A Case Study on Context-Aware Neural Machine Translation with Multi-Task Learning—0
Evaluating Automatic Metrics with Incremental Machine Translation SystemsCode0
Translatotron-V(ison): An End-to-End Model for In-Image Machine TranslationCode1
How to Learn in a Noisy World? Self-Correcting the Real-World Data Noise on Machine Translation—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
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