https://github.com/mosharafhossain/negation-mt
공식 코드It's not a Non-Issue: Negation as a Source of Error in Machine Translation
Papers with Code 아카이브
Translation
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/mounicam/bisect
공식 코드BiSECT: Learning to Split and Rephrase Sentences with Bitexts
https://github.com/moussakam/frugalscore
공식 코드FrugalScore: Learning Cheaper, Lighter and Faster Evaluation Metricsfor Automatic Text Generation
https://github.com/mp2893/med2vec
공식 코드https://github.com/mriosb08/medical-nmt-haitrans
공식 코드Impact of Domain-Adapted Multilingual Neural Machine Translation in the Medical Domain
https://github.com/ms-dot-k/tmt
공식 코드https://github.com/msseibel/accut
공식 코드https://github.com/mswellhao/dangle
공식 코드Disentangled Sequence to Sequence Learning for Compositional Generalization
https://github.com/mt-upc/SegAugment
공식 코드SegAugment: Maximizing the Utility of Speech Translation Data with Segmentation-based Augmentations
https://github.com/mt-upc/fairseq
공식 코드Tackling Low-Resourced Sign Language Translation: UPC at WMT-SLT 22
https://github.com/mt-upc/iwslt-2021
공식 코드End-to-End Speech Translation with Pre-trained Models and Adapters: UPC at IWSLT 2021
https://github.com/mt-upc/resetox
공식 코드ReSeTOX: Re-learning attention weights for toxicity mitigation in machine translation
https://github.com/mt-upc/s2t-perceiver
공식 코드https://github.com/mt-upc/shas
공식 코드SHAS: Approaching optimal Segmentation for End-to-End Speech Translation
https://github.com/mt-upc/transformer-contributions-nmt
공식 코드https://github.com/mt-upc/zeroswot
공식 코드Pushing the Limits of Zero-shot End-to-End Speech Translation
https://github.com/mtresearcher/terminology_dataset
공식 코드Training Neural Machine Translation To Apply Terminology Constraints
https://github.com/mttgdd/open-radvlad
공식 코드https://github.com/mttravel/Dictionary-based-MT
공식 코드Bilingual Dictionary Based Neural Machine Translation without Using Parallel Sentences
https://github.com/mu-cai/frequency-domain-image-translation
공식 코드Frequency Domain Image Translation: More Photo-realistic, Better Identity-preserving
https://github.com/mu-y/diarist
공식 코드DiariST: Streaming Speech Translation with Speaker Diarization
https://github.com/muhammed-saeed/clat
공식 코드Low-Resource Cross-Lingual Adaptive Training for Nigerian Pidgin
https://github.com/multi30k/dataset
공식 코드https://github.com/myniuuu/vcsd
공식 코드Visibility Constrained Wide-band Illumination Spectrum Design for Seeing-in-the-Dark
https://github.com/mzboito/iwslt2022_tamasheq_data
공식 코드https://github.com/nadeemlab/CEP
공식 코드Visualizing Missing Surfaces In Colonoscopy Videos using Shared Latent Space Representations
https://github.com/nadeemlab/Physics-ArX
공식 코드https://github.com/naist-nlp/knn-seq
공식 코드https://github.com/naist-nlp/mbrs
공식 코드https://github.com/namisan/exdeep-nmt
공식 코드https://github.com/nantiamak/sql2tf
공식 코드sql4ml A declarative end-to-end workflow for machine learning
https://github.com/nantiamak/sql4ml
공식 코드sql4ml A declarative end-to-end workflow for machine learning
https://github.com/natanielruiz/disrupting-deepfakes
공식 코드https://github.com/naughtyzz/3d_facial_shape_attribute_translation_ssgmap
공식 코드https://github.com/naver-ai/MetricMT
공식 코드Reward Optimization for Neural Machine Translation with Learned Metrics
https://github.com/naver/covid19-nmt
공식 코드A Multilingual Neural Machine Translation Model for Biomedical Data
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.