https://github.com/072jiajia/image-text-co-decomposition
공식 코드Image-Text Co-Decomposition for Text-Supervised Semantic Segmentation
Papers with Code 아카이브
Word Alignment
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Word Alignment is the task of finding the correspondence between source and target words in a pair of sentences that are translations of each other.
Source: Neural Network-based Word Alignment through Score Aggregation
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/CZWin32768/XLM-Align
공식 코드Improving Pretrained Cross-Lingual Language Models via Self-Labeled Word Alignment
https://github.com/Cosmos-Break/transfer-mt-submit
공식 코드https://github.com/NickRuiz/power-asr
공식 코드https://github.com/PluviophileYU/CVC-QA
공식 코드Counterfactual Variable Control for Robust and Interpretable Question Answering
https://github.com/THUNLP-MT/Mask-Align
공식 코드https://github.com/UltraSuite/ultrasuite-kaldi
공식 코드Ultrasound tongue imaging for diarization and alignment of child speech therapy sessions
https://github.com/ZhangShiyue/ChrEn
공식 코드https://github.com/ZhangShiyue/ChrEnTranslate
공식 코드https://github.com/abteen/alignment
공식 코드Meeting the Needs of Low-Resource Languages: The Value of Automatic Alignments via Pretrained Models
https://github.com/akoksal/silveralign
공식 코드SilverAlign: MT-Based Silver Data Algorithm For Evaluating Word Alignment
https://github.com/aksh555/cl-neril
공식 코드https://github.com/amazon-research/multiatis
공식 코드End-to-End Slot Alignment and Recognition for Cross-Lingual NLU
https://github.com/artetxem/monoses
공식 코드Bilingual Lexicon Induction through Unsupervised Machine Translation
https://github.com/bebing93/devil-in-details
공식 코드https://github.com/belgats/arabic-multimodal-dataset
공식 코드https://github.com/bzhangGo/zero
공식 코드https://github.com/cambridgeltl/BLICEr
공식 코드Improving Bilingual Lexicon Induction with Cross-Encoder Reranking
https://github.com/cambridgeltl/contrastivebli
공식 코드Improving Word Translation via Two-Stage Contrastive Learning
https://github.com/cambridgeltl/prompt4bli
공식 코드https://github.com/cambridgeltl/sail-bli
공식 코드Self-Augmented In-Context Learning for Unsupervised Word Translation
https://github.com/chaojiang06/neural-Jacana
공식 코드https://github.com/cisnlp/graph-align
공식 코드https://github.com/cuthbertcai/demovlp
공식 코드Revitalize Region Feature for Democratizing Video-Language Pre-training of Retrieval
https://github.com/cvmi-lab/codet
공식 코드CoDet: Co-Occurrence Guided Region-Word Alignment for Open-Vocabulary Object Detection
https://github.com/duonglm38/codec
공식 코드https://github.com/edchengg/easyproject
공식 코드Frustratingly Easy Label Projection for Cross-lingual Transfer
https://github.com/eumesy/wrd
공식 코드https://github.com/facebookresearch/MUSE
공식 코드https://github.com/frankkramer-lab/gernermed-pp
공식 코드https://github.com/fstahlberg/ucam-scripts
공식 코드An Operation Sequence Model for Explainable Neural Machine Translation
https://github.com/ghrua/ccpr_release
공식 코드https://github.com/gorokoba560/norm-analysis-of-transformer
공식 코드Attention is Not Only a Weight: Analyzing Transformers with Vector Norms
https://github.com/hlt-mt/fbk-fairseq
공식 코드https://github.com/icip-cas/Word-Deed-Consistency-Test
공식 코드https://github.com/jaimeenahn/ethnic_bias
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.