https://github.com/arthurxlw/cytonMt
공식 코드CytonMT: an Efficient Neural Machine Translation Open-source Toolkit Implemented in C++
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/artursstaf/mitigating-gender-bias-wmt-2020
공식 코드Mitigating Gender Bias in Machine Translation with Target Gender Annotations
https://github.com/asappresearch/imitkd
공식 코드Autoregressive Knowledge Distillation through Imitation Learning
https://github.com/asappresearch/sru
공식 코드https://github.com/asappresearch/wav2seq
공식 코드Wav2Seq: Pre-training Speech-to-Text Encoder-Decoder Models Using Pseudo Languages
https://github.com/asking28/offenseval2020
공식 코드https://github.com/asking28/sentimix2020
공식 코드https://github.com/asp-dac/asp-dac-1323
공식 코드Thermal and IR Drop Analysis Using Convolutional Encoder-Decoder Networks
https://github.com/astonzhang/Parameterization-of-Hypercomplex-Multiplications
공식 코드https://github.com/astra-vision/guideddisent
공식 코드Physics-informed Guided Disentanglement in Generative Networks
https://github.com/asw91666/trg-release
공식 코드6DoF Head Pose Estimation through Explicit Bidirectional Interaction with Face Geometry
https://github.com/asyml/texar
공식 코드Texar: A Modularized, Versatile, and Extensible Toolkit for Text Generation
https://github.com/atnafuatx/ethionmt-datasets
공식 코드The Effect of Normalization for Bi-directional Amharic-English Neural Machine Translation
https://github.com/atrewin/pgen
공식 코드Scaling Back-Translation with Domain Text Generation for Sign Language Gloss Translation
https://github.com/atrewin/signxmda
공식 코드Cross-modality Data Augmentation for End-to-End Sign Language Translation
https://github.com/attilanagy234/syntax-augmentation-nmt
공식 코드Syntax-based data augmentation for Hungarian-English machine translation
https://github.com/attilanagy234/treeswap
공식 코드TreeSwap: Data Augmentation for Machine Translation via Dependency Subtree Swapping
https://github.com/av9ash/English-Please
공식 코드https://github.com/avisekiit/TCSVT-LightWeight-CNNs
공식 코드Lightweight Modules for Efficient Deep Learning based Image Restoration
https://github.com/avishaiwa/SPARCWave
공식 코드Clustering Noisy Signals with Structured Sparsity Using Time-Frequency Representation
https://github.com/avishkarsaha/translating-images-into-maps
공식 코드https://github.com/avivga/lord
공식 코드https://github.com/avivga/overlord
공식 코드https://github.com/avmb/mt_scaling_prompt_injection
공식 코드Scaling Behavior of Machine Translation with Large Language Models under Prompt Injection Attacks
https://github.com/avoskou/Stochastic-Transformer-Networks-with-Linear-Competing-Units-Application-to-end-to-end-SL-Translatio
공식 코드https://github.com/awslabs/mlm-scoring
공식 코드https://github.com/awslabs/multilingual-top
공식 코드Multilingual Neural Semantic Parsing for Low-Resourced Languages
https://github.com/awslabs/sockeye
공식 코드https://github.com/axondeepseg/AxonDeepSynth
공식 코드Unpaired Modality Translation for Pseudo Labeling of Histology Images
https://github.com/aymenmir1/pix2surf
공식 코드Learning to Transfer Texture from Clothing Images to 3D Humans
https://github.com/ayushbits/saamayik
공식 코드Sāmayik: A Benchmark and Dataset for English-Sanskrit Translation
https://github.com/babangain/indicmmt
공식 코드Impact of Visual Context on Noisy Multimodal NMT: An Empirical Study for English to Indian Languages
https://github.com/baoguangsheng/g-transformer
공식 코드https://github.com/baoguangsheng/nat-on-doc
공식 코드https://github.com/baoguangsheng/target-side-augmentation
공식 코드Target-Side Augmentation for Document-Level Machine Translation
https://github.com/baohaoliao/multiback
공식 코드Back-translation for Large-Scale Multilingual Machine Translation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.