Chinese Embedding via Stroke and Glyph Information: A Dual-channel View
Recent studies have consistently given positive hints that morphology is helpful in enriching word embeddings. In this paper, we argue that Chinese word embeddings can be substantially enriched by the morphological information hidden in characters which is reflected not only in strokes order sequentially, but also in character glyphs spatially. Then, we propose a novel Dual-channel Word Embedding (DWE) model to realize the joint learning of sequential and spatial information of characters. Through the evaluation on both word similarity and word analogy tasks, our model shows its rationality and superiority in modelling the morphology of Chinese.
Code (0)
등록된 구현이 없습니다.
Tasks
Word EmbeddingsWord SimilaritySimilar Papers 제목 키워드 기반
Stroke Modeling Enables Vectorized Character Generation with Large Vectorized Glyph Model
Vectorized glyphs are widely used in poster design, network animation, art display, and various other fields due to their scalability and flexibility. In typography, they are often seen as special sequences composed of o…
StyleBERT: Chinese pretraining by font style information
With the success of down streaming task using English pre-trained language model, the pre-trained Chinese language model is also necessary to get a better performance of Chinese NLP task. Unlike the English language, Chi…
Language ModelingLanguage ModellingFontTransformer: Few-shot High-resolution Chinese Glyph Image Synthesis via Stacked Transformers
Automatic generation of high-quality Chinese fonts from a few online training samples is a challenging task, especially when the amount of samples is very small. Existing few-shot font generation methods can only synthes…
Few-Shot LearningFont GenerationImage GenerationGlyphCRM: Bidirectional Encoder Representation for Chinese Character with its Glyph
Previous works indicate that the glyph of Chinese characters contains rich semantic information and has the potential to enhance the representation of Chinese characters. The typical method to utilize the glyph features …
GlyphMastero: A Glyph Encoder for High-Fidelity Scene Text Editing
Scene text editing, a subfield of image editing, requires modifying texts in images while preserving style consistency and visual coherence with the surrounding environment. While diffusion-based methods have shown promi…
Optical Character Recognition (OCR)Scene Text EditingText Generation