Normal Forms in Semantic Language Identification
4
Citation
0
Reference
20
Related Paper
Citation Trend
Keywords:
Identification
Language identification
Semantic compression
Cite
In the article described mechanism of text information on natural language transformation for purposes of processing by computer systems word constructions with different particular words senses but the same common sense. Transformation is based on the set of semantic nodes patterns, which can be lain on actual natural language text information.
Basis (linear algebra)
Cite
Citations (0)
Cite
Citations (3)
ë°°ê²½ ë° ëª©ì : 본 ì°êµ¬ì 목ì ì ë¨ìì¸ì´ì¥ì ìëì ì¸ì´ì ì미íìê³¼ ìê°ì ì미íìì ë¹êµíë ê²ì´ë¤. ì¸ì´ì ë°©ë² ì´ì¸ì 그림 ê³¼ì 를 íµíì¬ ë¨ìì¸ì´ì¥ì ìëì ìê°ì ì미íì ë¥ë ¥ì ììë³´ê³ , ê·¸ ìíë ¥ì ì¸ì´ì ì미íìê³¼ ë¹êµíìë¤. ë°©ë²: 4-6ì¸ì ë¨ìì¸ì´ì¥ì ì§ë¨ 15ëª ê³¼ ìíì°ë ¹ì¼ì¹ ì¼ë° ì§ë¨ 15ëª , ì¸ì´ì°ë ¹ì¼ì¹ ì¼ë° ì§ë¨ 15ëª ì ëìì¼ë¡ íìë¤. ì미íì ë¥ë ¥ì ìì보기 ìí´ âì미 ì¤ëª í기âì â그림ì¼ë¡ ííí기â ê³¼ì 를 ì¤ìí í, ì§ë¨ ê° ë ê³¼ì ì ìíë ¥ ì°¨ì´ë¥¼ ë¹êµíê³ ë ê³¼ì ê° ìê´ê´ê³ë¥¼ ë¶ìíìë¤. ê²°ê³¼: ì미 ì¤ëª í기 ê³¼ì ìì ë¨ìì¸ì´ì¥ì ì§ë¨ì ìíì°ë ¹ì¼ì¹ ì¼ë° ì§ë¨ë³´ë¤ ìíë ¥ì´ ì ìíê² ë¨ì´ì¡ì¼ë, ì¸ì´ì°ë ¹ì¼ì¹ ì¼ë° ì§ë¨ê³¼ë ì°¨ì´ê° ììë¤. ì§ë¨ì ìê´ìì´ ê¸°ë¥ì ë°ìì ê´ê³ì , 물리ì , ë¶ë¥ì ë°ìë³´ë¤, ê´ê³ì ë° ë¬¼ë¦¬ì ë°ìì ë¶ë¥ì ë°ìë³´ë¤ ì ìíê² ë§ì´ ë°ìíìë¤. 그림ì¼ë¡ ííí기 ê³¼ì ìì ë¨ìì¸ì´ì¥ì ì§ë¨ì ìíë ¥ì ìíì°ë ¹ì¼ì¹ ì¼ë° ì§ë¨ë³´ë¤ ì ìíê² ë®ìì¼ë, ì¸ì´ì¸ë ¹ì¼ì¹ ì¼ë° ì§ë¨ë³´ë¤ë ì ìíê² ëìë¤. ì미 ì¤ëª í기ì 그림ì¼ë¡ ííí기 ê³¼ì ë ì ìíê² ëì ì ì ìê´ê´ê³ë¥¼ ëíë´ìë¤. ë ¼ì ë° ê²°ë¡ : ë¨ìì¸ì´ì¥ì ì§ë¨ì´ ì¸ì´ë¿ ìëë¼ ìê°ì ì미íììë ê²°í¨ì ë³´ì¸ë¤ë 본 ì°êµ¬ì ê²°ê³¼ë ì¸ì´ì ê·¸ë¦¼ì´ íëì ì미íìì ê³µì íê³ ìê±°ë ëë ê° ì미íìì´ ìë¡ íë°íê² ìí¸ìì©íê³ ìì ê°ë¥ì±ì ìì¬íë¤. ì´ì ê´ë ¨íì¬ ì¸ì´ì¹ë£ ììíì¥ìì ê³ ë ¤íì¬ì¼ í ë°ë¥¼ ë ¼ìíìë¤. Keywords: ë¨ìì¸ì´ì¥ì , ì미íì, ì¸ì´ì ì미íì, ìê°ì ì미íì, ì미 ì¤ëª í기, 그림ì¼ë¡ ííí기
Representation
Specific Language Impairment
Language impairment
Cite
Citations (5)
Semantic role labeling
Cite
Citations (0)
It is a trend and tendency to study the relationship between syntactic structure and vocabulary classification of the semantic-type language from the perspective of semantics.The division oftopicand commenttoward the syntactic structure of semantic languages has its philosophical stance.The definitenessis the important semantic and pragmatic feature of topic.Under the guidance and requirement of the definiteness,the semantic features ofdiscretenessand Continuitycan be used as a standard to classify the vocabularies into different grammatical categories.The vocabulary categories based on the semantic features can well fit with the syntactic framework oftopicandcomment.
Definiteness
Feature (linguistics)
Semantic feature
Semantic property
Semantic role labeling
Syntactic structure
Cite
Citations (0)
Analysis of sentences can be divided into two main parts, syntactic analysis and semantic analysis. Semantic analysis is an important problem in natural language understanding. The result of semantic analysis is the representation of meanings or actions in response to meanings. This paper describes a method for semantic analysis of Thai sentences with serial verbs. We are creating a new lexicon with semantic features designed to support semantic analysis. The focus of this research is on understanding sentences with serial verbs and finding some meaning representation of those sentences. Analysis of the ORCHID corpus, a corpus of academic literature in Thai, is the basis of much of our work on semantics
Representation
Semantic role labeling
Semantic compression
Cite
Citations (1)
Cite
Citations (7)
Cite
Citations (0)