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태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/antonioalmudevar/variational_translation
공식 코드https://github.com/antoniogois/keystrokes_ape
공식 코드Learning Non-Monotonic Automatic Post-Editing of Translations from Human Orderings
https://github.com/antoniosudoso/attention-nilm
공식 코드Improving Non-Intrusive Load Disaggregation through an Attention-Based Deep Neural Network
https://github.com/antot/human_parity_eamt2020
공식 코드Reassessing Claims of Human Parity and Super-Human Performance in Machine Translation at WMT 2019
https://github.com/antot/human_parity_mt
공식 코드Attaining the Unattainable? Reassessing Claims of Human Parity in Neural Machine Translation
https://github.com/antot/mt_lit_transformer
공식 코드https://github.com/antot/neural_vs_-phrasebased_smt_eacl17
공식 코드https://github.com/antot/pemt_creativity_reading
공식 코드The Impact of Post-editing and Machine Translation on Creativity and Reading Experience
https://github.com/antot/posteditese_mtsummit19
공식 코드https://github.com/anzeyimana/kinmt_naacl2024
공식 코드Low-resource neural machine translation with morphological modeling
https://github.com/aoncevay/multiview-langrep
공식 코드https://github.com/apeterswu/Depth_Growing_NMT
공식 코드https://github.com/apeterswu/RL4NMT
공식 코드A Study of Reinforcement Learning for Neural Machine Translation
https://github.com/apoll2000/stereofog
공식 코드STEREOFOG -- Computational DeFogging via Image-to-Image Translation on a real-world Dataset
https://github.com/apple/ml-behavioral-testing-for-mt
공식 코드https://github.com/apple/ml-code-switched-speech-translation
공식 코드https://github.com/apple/ml-codeswitching-translations
공식 코드Towards Real-World Streaming Speech Translation for Code-Switched Speech
https://github.com/apple/ml-mkqa
공식 코드MKQA: A Linguistically Diverse Benchmark for Multilingual Open Domain Question Answering
https://github.com/apple/ml-sigma-reparam
공식 코드Stabilizing Transformer Training by Preventing Attention Entropy Collapse
https://github.com/apple/ml-transcript-translation-consistency-ratings
공식 코드https://github.com/apple/ml-translate-vis
공식 코드Angler: Helping Machine Translation Practitioners Prioritize Model Improvements
https://github.com/arabelatso/semmt
공식 코드SemMT: A Semantic-based Testing Approach for Machine Translation Systems
https://github.com/aralab-unr/CoSM-ICP
공식 코드Registration of 3D Point Sets Using Correntropy Similarity Matrix
https://github.com/aravindsankar28/Meta-GNN
공식 코드https://github.com/arayabrain/PermutationalNetworks
공식 코드Permutation-equivariant neural networks applied to dynamics prediction
https://github.com/arianna-bis/freeorder-mt
공식 코드On the Difficulty of Translating Free-Order Case-Marking Languages
https://github.com/aries-lm/lexmatcher-mt
공식 코드LexMatcher: Dictionary-centric Data Collection for LLM-based Machine Translation
https://github.com/arifusta/DBTagger
공식 코드https://github.com/armelrandy/icl-mt
공식 코드In-Context Example Selection via Similarity Search Improves Low-Resource Machine Translation
https://github.com/arnabgho/iSketchNFill
공식 코드Interactive Sketch & Fill: Multiclass Sketch-to-Image Translation
https://github.com/art-jang/sign-to-subtitle
공식 코드Deep Understanding of Sign Language for Sign to Subtitle Alignment
https://github.com/artetxem/esxnli
공식 코드https://github.com/artetxem/monoses
공식 코드https://github.com/artetxem/undreamt
공식 코드https://github.com/artetxem/vecmap
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.