https://github.com/orangeinsouth/lssd
공식 코드Unifying the Convergences in Multilingual Neural Machine Translation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
Neural machine translation is an approach to machine translation that uses an artificial neural network to predict the likelihood of a sequence of words, typically modeling entire sentences in a single integrated model.
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
Unifying the Convergences in Multilingual Neural Machine Translation
Towards Supervised and Unsupervised Neural Machine Translation Baselines for Nigerian Pidgin
Salute the Classic: Revisiting Challenges of Machine Translation in the Age of Large Language Models
Towards Accurate Translation via Semantically Appropriate Application of Lexical Constraints
Multiscale Collaborative Deep Models for Neural Machine Translation
Learning to Generalize to More: Continuous Semantic Augmentation for Neural Machine Translation
Distill the Image to Nowhere: Inversion Knowledge Distillation for Multimodal Machine Translation
An Effective Method using Phrase Mechanism in Neural Machine Translation
On Creating an English-Thai Code-switched Machine Translation in Medical Domain
Energy-Based Reranking: Improving Neural Machine Translation Using Energy-Based Models
Sampling-Based Approximations to Minimum Bayes Risk Decoding for Neural Machine Translation
An Unsupervised method for OCR Post-Correction and Spelling Normalisation for Finnish
Nearest Neighbor Machine Translation is Meta-Optimizer on Output Projection Layer
Contextual Neural Machine Translation Improves Translation of Cataphoric Pronouns
Selective Attention for Context-aware Neural Machine Translation
Revisiting the Weaknesses of Reinforcement Learning for Neural Machine Translation
A Comparative Study of LLMs, NMT Models, and Their Combination in Persian-English Idiom Translation
LLMEffiChecker: Understanding and Testing Efficiency Degradation of Large Language Models
Better Neural Machine Translation by Extracting Linguistic Information from BERT
Interrogating the Explanatory Power of Attention in Neural Machine Translation
Neural Machine Translation System of Indic Languages -- An Attention based Approach
Integrating Vectorized Lexical Constraints for Neural Machine Translation
Saliency-driven Word Alignment Interpretation for Neural Machine Translation
The first neural machine translation system for the Erzya language
Songs Across Borders: Singable and Controllable Neural Lyric Translation
NMT-Obfuscator Attack: Ignore a sentence in translation with only one word
A Classification-Guided Approach for Adversarial Attacks against Neural Machine Translation
Targeted Adversarial Attacks against Neural Machine Translation
TransFool: An Adversarial Attack against Neural Machine Translation Models
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.