natural language造句
61. At the time of the rapid development of technology, the ambiguity problem has become one of the bottlenecks of natural language processing.
62. But if one’s already made knowledge computable, one doesn’t need to do that kind of natural language understanding.
63. Through a comparative study of language input between first language acquisition and second language acquisition, some special features of natural language input have been discovered.
64. Word Segmentation is a fundamental problem of the Chinese Natural Language Processing.
65. The parsing technique is one of the key techniques in natural language processing.
66. For automatic natural language processing, the words must be stemmed.
67. Cognitive semantics is an effective approach to analyze the natural language that puts special emphasis on language as an instrument for organizing, processing and conveying information.
68. This paper specifies precise natural language process based on fuzzy description logic as fuzzy PNL question-answering system.
69. Literary language processing deserves its due attention in the current research atmosphere of Natural Language Processing ( NLP ) .
70. Automatic alignment of parallel corpora is an important research subject in natural language processing area.
71. Traditional research in speech - based technology is concentrated on speech recognition,[http:///natural language.html] speech synthesis and natural language understanding.
72. NLP ( Natural Language Processing ) is an important branch of Artificial Intelligence.
73. Identification of translingual equivalence of named entities is substantial to multilingual natural language processing.
74. The computer readable electronic dictionary is the foundation for all natural language processing, especially for the system of machine translation.
75. Polysemy is one of the key characters of natural language.
76. Word Sense Disambiguation ( WSD ) is a difficult issue in many fields of natural language processing, e.
77. The paper mainly discusses the retrieval technique with natural language interface. It contains some key techniques, such as extraction of concept, choice of chunk and combination of concept.
78. "His idea ... was to use an "escape sequence", whereby each natural language had its own registered escape seqence code and associated set ..."
79. Word sense tagging is one of the most difficult problem in natural language processing.
80. QA is a high level application of natural language processing.
81. Finding base noun phrase is very important in the field of natural language processing.
82. The semi-fixed structure is a kind of multiword phenomenon in natural language.
83. This paper discusses human auditory sense in map spatial cognition, which combines cognitive map with natural language and enriches ways to cognize map.
84. Wortklassen recognition is the basis of natural language understanding and analysis.
85. The acquisition of knowledge from natural language text is a very important application of NLP. This technique has great prospect because it can help people search and acquire knowledge efficiently.
86. They reflect the development and evolution trend of lexics, become concerns of Linguistics and make big challenge to Natural Language Processing.
87. And for example we're still very far away from having computers systematically understand large volumes of natural language text on the web.
88. Essentially, the research of Natural Language Understanding should be independent of any specific language.
89. It relates to many domains, such as the natural language technology, computational linguistics, and so on.
90. Weizenbaum, Joseph. "ELIZA ? A Computer Program for the Study of Natural Language Communication Between Man and Machine. " Communications of the Association for Computing Machinery 9 (1966).
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