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121. The specific domain in the paper is background of the natural language interface in Chinese CNLIGW.

122. There is ambiguity phenomenon in natural language and syntactic ambiguity is one type of ambiguity.

123. This wraps up my three-part discussion of how to use the WordNet natural language semantic database in XML and RDF applications.

124. Professor Zhang Qiyu has made remarkable achievements in natural language searching and information retrieval language research.

125. The natural language interface system for controlling space teleoperator in natural language is described.

126. Chinese semantic analysis is the most important and difficult problem of Chinese Natural Language Understanding.

127. The choice is feasible because of the three properties of natural language: variability, negotiability and adaptability.

128. Research on speech recognition error detection and correction by natural language understanding (NLU) method will be an important research direction of improving the performance of speech recognition.

128. Sentencedict.com is a sentence dictionary, on which you can find good sentences for a large number of words.

129. The representation and application of semantic knowledge is an important factor for Natural Language Processing (NLP).

130. CQAES (Chinese Question-Answer Experimental System) is a chinese natural language understanding system.

131. Speech recognition and natural language processing are technologies still in their infancy.

132. In the field of Natural Language Processing, one important way of acquiring semantic information is Semantic Role labelling (SRL).

133. HQL is a natural language to use for querying objects that require a small learning curve.

134. We shall study and develop all the subjects of logical system, not only the mathematical logic but also logic of natural language, inductive logic, dialectical logic and logic in law.

135. This pap er describes in detail the design methods and realization techniques of a natural language communication and procession module in a multi-agent parallel design environment.

136. Text inference is central to natural language applications. This paper presents an inference method based on HowNet, which organizes knowledge with semantic net and infers with marker passing.

137. Word sense tagging has always been important in natural language processing.

138. It is an intrinsic property of natural language as well as human thinking.

139. Generative semantics linguists diverge from Chomsky's syntax research, and declare that syntax of natural language is related to semantics, which is connected with cognition.

140. Morphological analysis is the foundation task for most natural language processing.

141. Prof Mellish said: 'The system will use a technique called Natural Language Generation, where complex data is translated into simple and understandable text.

142. While in natural language, "or...or..." can also expresses antipathic propositions which can be distinguished from such aspects as semanteme and symbols.

143. Computational complexity of natural language , largely theory , with the application of context-sensitive grammar and linearly - boundedTuring machines.

144. Person deictic words can be found in every natural language.

145. The representation and application of semantic knowledge is an important factor for Natural Language Processing.

146. We report experiments on song lyrics based on natural language processing techniques.

147. In natural language, Listing 1 encapsulates the question "Which professional snowboarder endorses the K2 FatBob?"

148. Word sense disambiguation is one of the difficult problems in natural language processing.

149. The na?ve and bright artistic conception of her poetry comprises her sensitive and exquisite heart and her sententious and natural language.

150. Enhanced maximum matching method and similar string is brought forward to realize the natural language retrieval of teaching resources.