natural language造句
151. Through a series of large-scale evaluations, TDT has become a hot problem for worldwide research in the fields of natural language processing, especially in information retrieval.
152. Natural language interface is one of the most hopeful applied fields in the research on Natural Language Processing.
153. In a natural language, a graphic character that represents an object or a concept and associated sound elements.
154. According to the characteristics of natural language understanding and expert system of network fault diagnosis, the extended production rule was presented.
155. Zhuodaluowa also noted that the natural language is created, but not scheduled.
156. In a natural language, a graphic character that represents an object or a concept and associated sound elements. Example: A Chinese ideogram or a Japanese Kanji.
157. In addition, proper names recognition give prop to the natural language processing in the field of information extraction, question answering system and so on.
158. The quantitative research of semantic relation between words is an essential subtask for some natural language processing task.
159. Due to the uncertainty of the natural language meaning and difficulties of the semantic formalization, semantic processing becomes the key problem of Natural Language Processing.
160. Formal semantics of natural language research is an important Chinese information processing. Information processing is also facing a major task for Chinese studies.
161. Computational linguists teach computer systems how to process natural language.
162. The accuracy of computer understanding query of natural language is key to the quality of the natural language interface.
163. Development of a semi - automatic natural language translation system.
164. If your target is the end player, a more natural language or graphical approach might be beneficial.
165. Natural language is an effective tool to express ideas. It is a sententious and effective method to express the semantic information of images.
166. The purpose of putting forward the concept of "relevant implication" is mainly to analyze the hypothetical proposition of natural language.
167. Here, we have the same paradox as that of a natural language which is at the same time the last, the highest metalanguage .
168. Apart from my natural language, I speak English and French.
169. These types of systems include advanced natural language processing systems that can discover new terms and relationships by analyzing content (such as document text in ECM systems).
170. In any case , the programming of a natural language recognition engine is beyond the capabilities and budget of your average programming team.
171. Areas of emphasis include: artificial intelligence, natural language processing, and pattern and voice recognition.
172. This class introduces students to the basics of Artificial Intelligence, which includes machine learning, probabilistic reasoning, robotics, and natural language processing...
173. Identification of translingual equivalence of named entities is substantial to natural language processing.
174. American philosopher Paul Grice concluded that natural language had its own logic.
175. Annotation is the keystone of the knowledge representation of any natural language processing ( NLP ) research.
176. Question Answering System for Reading Comprehension (QARC) can automatically analyze a passage of natural language text and generate an answer for each question based on information in the passage.
177. The act of enabling a computer to recognize utterances of a natural language.
178. This paper reports the preliminary development of a continually building Natural Language Understanding System.
179. Cognitive physics, from the perspective of natural language, focuses on the thinking process that is from quantity to quality and from data to knowledge as well as the organization of information.
180. As an example, a natural language interface(NLI) having a limited subset of English to a specific expert system for database design (ERGTORS) is designed and implemented with TURBO PROLOG on IBM PC.
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