statistical semantics造句

Statistical Semantics is a subfield of computational semantics, which is in turn a subfield of computational linguistics and natural language processing.
The term " statistical semantics " was first used by Warren Weaver in his well-known paper on machine translation.
Recent work on Statistical semantics, in particular Distributional semantics, is based on the Distributional hypothesis, and explicitly acknowledges the influence of Harris'work on distributional structure.
Many of the applications of Statistical Semantics ( listed above ) can also be addressed by lexicon-based algorithms, instead of the corpus-based algorithms of Statistical Semantics.
Many of the applications of Statistical Semantics ( listed above ) can also be addressed by lexicon-based algorithms, instead of the corpus-based algorithms of Statistical Semantics.
It's difficult to find statistical semantics in a sentence. 用statistical semantics造句挺难的

The underlying assumption that " a word is characterized by the company it keeps " was advocated by Furnas et al . 1983 " is frequently cited as a foundational contribution to statistical semantics.
Statistical Semantics focuses on the meanings of common words and the relations between common words, unlike text mining, which tends to focus on whole documents, document collections, or named entities ( names of people, places, and organizations ).