https://github.com/ictnlp/lnmt-ca
공식 코드Low-resource Neural Machine Translation with Cross-modal Alignment
Papers with Code 아카이브
Translation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 0
- 평가표
- 4
- 보존된 평가 기록
- 5
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/ictnlp/moe-waitk
공식 코드Universal Simultaneous Machine Translation with Mixture-of-Experts Wait-k Policy
https://github.com/ictnlp/multiscale-contextualization
공식 코드Integrating Multi-scale Contextualized Information for Byte-based Neural Machine Translation
https://github.com/ictnlp/nast
공식 코드Non-autoregressive Streaming Transformer for Simultaneous Translation
https://github.com/ictnlp/nast-s2x
공식 코드A Non-autoregressive Generation Framework for End-to-End Simultaneous Speech-to-Speech Translation
https://github.com/ictnlp/nmla-nat
공식 코드Non-Monotonic Latent Alignments for CTC-Based Non-Autoregressive Machine Translation
https://github.com/ictnlp/pcfg-nat
공식 코드Non-autoregressive Machine Translation with Probabilistic Context-free Grammar
https://github.com/ictnlp/ped-simt
공식 코드Turning Fixed to Adaptive: Integrating Post-Evaluation into Simultaneous Machine Translation
https://github.com/ictnlp/sammt
공식 코드Bridging the Gap between Synthetic and Authentic Images for Multimodal Machine Translation
https://github.com/ictnlp/semling-mnmt
공식 코드Improving Multilingual Neural Machine Translation by Utilizing Semantic and Linguistic Features
https://github.com/ictnlp/sillm
공식 코드SiLLM: Large Language Models for Simultaneous Machine Translation
https://github.com/ictnlp/streamspeech
공식 코드StreamSpeech: Simultaneous Speech-to-Speech Translation with Multi-task Learning
https://github.com/ictnlp/su4mt
공식 코드https://github.com/ictnlp/wait-info
공식 코드https://github.com/ictnlp/zero-mnmt
공식 코드Improving Zero-Shot Multilingual Translation with Universal Representations and Cross-Mappings
https://github.com/idiap/Attentive_Residual_Connections_NMT
공식 코드Self-Attentive Residual Decoder for Neural Machine Translation
https://github.com/idiap/HAN_NMT
공식 코드Document-Level Neural Machine Translation with Hierarchical Attention Networks
https://github.com/idiap/hourglass_push
공식 코드https://github.com/idiap/joint-embedding-nmt
공식 코드Beyond Weight Tying: Learning Joint Input-Output Embeddings for Neural Machine Translation
https://github.com/idiap/sense_aware_NMT
공식 코드Integrating Weakly Supervised Word Sense Disambiguation into Neural Machine Translation
https://github.com/idiap/translation-aided-slu
공식 코드https://github.com/ieee8023/dist-bias
공식 코드Distribution Matching Losses Can Hallucinate Features in Medical Image Translation
https://github.com/ijauregiCMCRC/Shared_Attention_for_APE
공식 코드A Shared Attention Mechanism for Interpretation of Neural Automatic Post-Editing Systems
https://github.com/ikergarcia1996/Easy-Translate
공식 코드Model and Data Transfer for Cross-Lingual Sequence Labelling in Zero-Resource Settings
https://github.com/ikergarcia1996/annotation-projection-app
공식 코드Model and Data Transfer for Cross-Lingual Sequence Labelling in Zero-Resource Settings
https://github.com/ikergarcia1996/easy-label-projection
공식 코드Model and Data Transfer for Cross-Lingual Sequence Labelling in Zero-Resource Settings
https://github.com/ikergarcia1996/t-projection
공식 코드T-Projection: High Quality Annotation Projection for Sequence Labeling Tasks
https://github.com/imatge-upc/sign-topic
공식 코드https://github.com/imlixinyang/AGUIT
공식 코드Attribute Guided Unpaired Image-to-Image Translation with Semi-supervised Learning
https://github.com/imlixinyang/HiSD
공식 코드Image-to-image Translation via Hierarchical Style Disentanglement
https://github.com/indian-nlp/assamese-dataset
공식 코드Enhancing Assamese NLP Capabilities: Introducing a Centralized Dataset Repository
https://github.com/indonlp/nusa-writes
공식 코드https://github.com/indonlp/nusax
공식 코드NusaX: Multilingual Parallel Sentiment Dataset for 10 Indonesian Local Languages
https://github.com/inseq-team/inseq
공식 코드Inseq: An Interpretability Toolkit for Sequence Generation Models
https://github.com/instance-wise-ordered-transformer/IOT
공식 코드IOT: Instance-wise Layer Reordering for Transformer Structures
https://github.com/is2ai/kazparc
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.