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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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 451–500 of 10752 papers

TitleStatusHype
From Calculation to Adjudication: Examining LLM judges on Mathematical Reasoning Tasks—0
N-gram Prediction and Word Difference Representations for Language Modeling—0
Creating Domain-Specific Translation Memories for Machine Translation Fine-tuning: The TRENCARD Bilingual Cardiology Corpus—0
A Data Selection Approach for Enhancing Low Resource Machine Translation Using Cross-Lingual Sentence Representations—0
Towards Cross-Lingual Explanation of Artwork in Large-scale Vision Language Models—0
Correcting FLORES Evaluation Dataset for Four African Languages—0
InkubaLM: A small language model for low-resource African languages—0
Towards Tailored Recovery of Lexical Diversity in Literary Machine Translation—0
MQM-Chat: Multidimensional Quality Metrics for Chat Translation—0
Instruction-tuned Large Language Models for Machine Translation in the Medical Domain—0
An Investigation of Warning Erroneous Chat Translations in Cross-lingual Communication—0
Pitfalls and Outlooks in Using COMETCode0
A global AI community requires language-diverse publishing—0
From Rule-Based Models to Deep Learning Transformers Architectures for Natural Language Processing and Sign Language Translation Systems: Survey, Taxonomy and Performance Evaluation—0
What Makes a Good Story and How Can We Measure It? A Comprehensive Survey of Story Evaluation—0
Bidirectional Awareness Induction in Autoregressive Seq2Seq Models—0
LowCLIP: Adapting the CLIP Model Architecture for Low-Resource Languages in Multimodal Image Retrieval TaskCode0
Guardians of the Machine Translation Meta-Evaluation: Sentinel Metrics Fall In!Code1
Integrating Multi-Head Convolutional Encoders with Cross-Attention for Improved SPARQL Query Translation—0
Cultural Adaptation of Menus: A Fine-Grained Approach—0
FLEURS-ASL: Including American Sign Language in Massively Multilingual Multitask Evaluation—0
Quality or Quantity? On Data Scale and Diversity in Adapting Large Language Models for Low-Resource Translation—0
High-Quality Data Augmentation for Low-Resource NMT: Combining a Translation Memory, a GAN Generator, and Filtering—0
Defining Boundaries: The Impact of Domain Specification on Cross-Language and Cross-Domain Transfer in Machine Translation—0
Distributional Properties of Subword Regularization—0
Plug, Play, and Fuse: Zero-Shot Joint Decoding via Word-Level Re-ranking Across Diverse Vocabularies—0
IKUN for WMT24 General MT Task: LLMs Are here for Multilingual Machine Translation—0
Towards Inducing Document-Level Abilities in Standard Multilingual Neural Machine Translation Models—0
Expanding FLORES+ Benchmark for more Low-Resource Settings: Portuguese-Emakhuwa Machine Translation Evaluation—0
Large Language Models for Classical Chinese Poetry Translation: Benchmarking, Evaluating, and Improving—0
Improving Rare Word Translation With Dictionaries and Attention MaskingCode0
Large Language Models Might Not Care What You Are Saying: Prompt Format Beats Descriptions—0
PyMarian: Fast Neural Machine Translation and Evaluation in Python—0
Introducing the NewsPaLM MBR and QE Dataset: LLM-Generated High-Quality Parallel Data Outperforms Traditional Web-Crawled Data—0
Cross-Lingual Conversational Speech Summarization with Large Language Models—0
Creating Arabic LLM Prompts at Scale—0
Language-Informed Beam Search Decoding for Multilingual Machine TranslationCode1
SCOI: Syntax-augmented Coverage-based In-context Example Selection for Machine TranslationCode0
Simplifying Translations for Children: Iterative Simplification Considering Age of Acquisition with LLMsCode0
Attention Mechanism and Context Modeling System for Text Mining Machine Translation—0
Trans-Tokenization and Cross-lingual Vocabulary Transfers: Language Adaptation of LLMs for Low-Resource NLPCode2
Conditioning LLMs with Emotion in Neural Machine Translation—0
Evaluating the Translation Performance of Large Language Models Based on Euas-20—0
Enhancing AI-based Generation of Software Exploits with Contextual Information—0
Decoupled Vocabulary Learning Enables Zero-Shot Translation from Unseen Languages—0
BOTS-LM: Training Large Language Models for Setswana—0
Improving Multilingual Neural Machine Translation by Utilizing Semantic and Linguistic FeaturesCode0
Tensor Train Low-rank Approximation (TT-LoRA): Democratizing AI with Accelerated LLMs—0
In-Context Example Selection via Similarity Search Improves Low-Resource Machine TranslationCode0
SynesLM: A Unified Approach for Audio-visual Speech Recognition and Translation via Language Model and Synthetic Data—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