WordAlchemy: A transformer-based Reverse Dictionary
원문 초록
A reverse dictionary takes a target word's description as input and returns the words that fit the description. Reverse Dictionaries are useful for new language learners, anomia patients, and for solving common tip-of-the-tongue problems (lethologica). Currently, there does not exist any Reverse Dictionary provider with support for any Indian Language. We present a novel open-source cross-lingual reverse dictionary system with support for Indian languages. In this paper, we propose a transformer-based deep learning approach to tackle the limitations faced by the existing systems using the mT5 model. This architecture uses the Translation Language Modeling (TLM) technique, rather than the conventional BERT's Masked Language Modeling (MLM) technique.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
BMFM-RNA: An Open Framework for Building and Evaluating Transcriptomic Foundation Models
Diffusion Sequence Models for Enhanced Protein Representation and Generation
Masked Language Models are Good Heterogeneous Graph Generalizers
Guaranteed Guess: A Language Modeling Approach for CISC-to-RISC Transpilation with Testing Guarantees
GeoRecon: Graph-Level Representation Learning for 3D Molecules via Reconstruction-Based Pretraining
PHRASED: Phrase Dictionary Biasing for Speech Translation
토론
이 논문과 연결된 포럼 글이 아직 없습니다.