Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). FSPRM: A Feature Subsequence Based Probability Representation Model for Chinese Word Embedding. Retrieved May 24, 2026, from https://4ort.xyz/entity/fsprm-a-feature-subsequence-based-probability-representation-model-for-chinese-word-embedding
MLA“FSPRM: A Feature Subsequence Based Probability Representation Model for Chinese Word Embedding.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/fsprm-a-feature-subsequence-based-probability-representation-model-for-chinese-word-embedding.
BibTeX@misc{4ortxyz_fsprm-a-feature-subsequence-based-probability-representation-model-for-chinese-word-embedding_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{FSPRM: A Feature Subsequence Based Probability Representation Model for Chinese Word Embedding}}, year = {2026}, url = {https://4ort.xyz/entity/fsprm-a-feature-subsequence-based-probability-representation-model-for-chinese-word-embedding}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): FSPRM: A Feature Subsequence Based Probability Representation Model for Chinese Word Embedding — https://4ort.xyz/entity/fsprm-a-feature-subsequence-based-probability-representation-model-for-chinese-word-embedding (retrieved 2026-05-24)
