https://github.com/shirawein/amr-translationese
공식 코드Lost in Translationese? Reducing Translation Effect Using Abstract Meaning Representation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
Lost in Translationese? Reducing Translation Effect Using Abstract Meaning Representation
Integrating Vectorized Lexical Constraints for Neural Machine Translation
Saliency-driven Word Alignment Interpretation for Neural Machine Translation
Coursera Corpus Mining and Multistage Fine-Tuning for Improving Lectures Translation
StegoGAN: Leveraging Steganography for Non-Bijective Image-to-Image Translation
ACE: Zero-Shot Image to Image Translation via Pretrained Auto-Contrastive-Encoder
NeBLa: Neural Beer-Lambert for 3D Reconstruction of Oral Structures from Panoramic Radiographs
Domain-Scalable Unpaired Image Translation via Latent Space Anchoring
Wronging a Right: Generating Better Errors to Improve Grammatical Error Detection
KpopMT: Translation Dataset with Terminology for Kpop Fandom
Collecting a Large-Scale Gender Bias Dataset for Coreference Resolution and Machine Translation
CycleNet: Rethinking Cycle Consistency in Text-Guided Diffusion for Image Manipulation
The first neural machine translation system for the Erzya language
Molformer: Motif-based Transformer on 3D Heterogeneous Molecular Graphs
Molformer: Motif-based Transformer on 3D Heterogeneous Molecular Graphs
Unsupervised Object Representation Learning using Translation and Rotation Group Equivariant VAE
Songs Across Borders: Singable and Controllable Neural Lyric Translation
Conditional Bilingual Mutual Information Based Adaptive Training for Neural Machine Translation
Towards Understanding and Improving Knowledge Distillation for Neural Machine Translation
CoVoSwitch: Machine Translation of Synthetic Code-Switched Text Based on Intonation Units
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.