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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 701–750 of 10752 papers

TitleStatusHype
GeMQuAD : Generating Multilingual Question Answering Datasets from Large Language Models using Few Shot Learning—0
Multilingual Evaluation of Semantic Textual Relatedness—0
Investigating Neural Machine Translation for Low-Resource Languages: Using Bavarian as a Case StudyCode0
Introducing L2M3, A Multilingual Medical Large Language Model to Advance Health Equity in Low-Resource Regions—0
Extending Translate-Train for ColBERT-X to African Language CLIR—0
Curated Datasets and Neural Models for Machine Translation of Informal Registers between Mayan and Spanish VernacularsCode0
Guiding Large Language Models to Post-Edit Machine Translation with Error AnnotationsCode1
An inclusive review on deep learning techniques and their scope in handwriting recognition—0
Charles Translator: A Machine Translation System between Ukrainian and Czech—0
Control-DAG: Constrained Decoding for Non-Autoregressive Directed Acyclic T5 using Weighted Finite State AutomataCode0
Accelerating Inference in Large Language Models with a Unified Layer Skipping StrategyCode1
Exploring the Necessity of Visual Modality in Multimodal Machine Translation using Authentic Datasets—0
Interplay of Machine Translation, Diacritics, and Diacritization—0
Semantic Stealth: Adversarial Text Attacks on NLP Using Several Methods—0
Low-Resource Machine Translation through Retrieval-Augmented LLM Prompting: A Study on the Mambai LanguageCode0
F-MALLOC: Feed-forward Memory Allocation for Continual Learning in Neural Machine TranslationCode0
SLPL SHROOM at SemEval2024 Task 06: A comprehensive study on models ability to detect hallucinationCode0
KazQAD: Kazakh Open-Domain Question Answering DatasetCode0
Unlocking Parameter-Efficient Fine-Tuning for Low-Resource Language Translation—0
Towards Automated Movie Trailer Generation—0
Retrieving Examples from Memory for Retrieval Augmented Neural Machine Translation: A Systematic Comparison—0
Backdoor Attack on Multilingual Machine Translation—0
Large Language Models for Expansion of Spoken Language Understanding Systems to New LanguagesCode1
An Incomplete Loop: Deductive, Inductive, and Abductive Learning in Large Language Models—0
Low-resource neural machine translation with morphological modelingCode0
Optical Text Recognition in Nepali and Bengali: A Transformer-based Approach—0
MaiNLP at SemEval-2024 Task 1: Analyzing Source Language Selection in Cross-Lingual Textual Relatedness—0
Transforming LLMs into Cross-modal and Cross-lingual Retrieval Systems—0
Towards Better Understanding of Cybercrime: The Role of Fine-Tuned LLMs in Translation—0
HyperCLOVA X Technical Report—0
Finding Replicable Human Evaluations via Stable Ranking Probability—0
AAdaM at SemEval-2024 Task 1: Augmentation and Adaptation for Multilingual Semantic Textual RelatednessCode0
An image speaks a thousand words, but can everyone listen? On image transcreation for cultural relevanceCode1
Advancing AI with Integrity: Ethical Challenges and Solutions in Neural Machine Translation—0
An Analysis of BPE Vocabulary Trimming in Neural Machine Translation—0
A Systematic Analysis of Subwords and Cross-Lingual Transfer in Multilingual Translation—0
Going Beyond Word Matching: Syntax Improves In-context Example Selection for Machine Translation—0
A Tulu Resource for Machine TranslationCode0
LV-CTC: Non-autoregressive ASR with CTC and latent variable models—0
KazParC: Kazakh Parallel Corpus for Machine TranslationCode1
EthioMT: Parallel Corpus for Low-resource Ethiopian Languages—0
Improving Vietnamese-English Medical Machine Translation—0
The Comparison of Translationese in Machine Translation and Human Transation in terms of Translation Relations—0
The Impact of Syntactic and Semantic Proximity on Machine Translation with Back-Translation—0
MIND Your Language: A Multilingual Dataset for Cross-lingual News RecommendationCode2
Large Language Models Are State-of-the-Art Evaluator for Grammatical Error Correction—0
m3P: Towards Multimodal Multilingual Translation with Multimodal Prompt—0
The Role of n-gram Smoothing in the Age of Neural Networks—0
Synthetic Data Generation and Joint Learning for Robust Code-Mixed Translation—0
Can Machine Translation Bridge Multilingual Pretraining and Cross-lingual Transfer Learning?—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