Extraction And Classification Of VNC Multi-Word Expression

Natural language processing as, an important research areas of artificial intelligence, uses computers language for knowledge acquisition, representation and application, helps to exchange information between computers and human beings by providing a more efficient and convenient method.Multi-Word Expression is very common in natural language processing and there is no precise definition about it. It refers to two (or more) word units appear together with a relatively high probability. It includes variety forms of combination. Multi-Word Expressions is a fairly common phenomenon in natural language processing, so the recognition and classification of MWE becomes more important.The Verb Noun Construction (VNC) has the highest proportion in Multi-Word Expression, so its study is relatively typical.Multi-Word Expressions has been a difficult point, the semantic information and syntactic information cannot be directly obtained from the whole MWE, some overall meanings of many MWEs are irrelevant to their components. It makes the machine translation has to make an accurate pre-judgment:to explain the MWE based on the combination meaning of the components, or using a third meaning to explain it.The main job is classified as MWE extraction and classification. First, refer to the extraction:as many other independent words, MWE has relatively higher degree of adhesion between the component words. Based on this, by calculating the degree of adhesion between the composition of words, and the independence to the adjacent words, we can extract the MWEs from a lot of text to as candidates.The second step is classification. After accessing the MWE, we have to classify the candidates:Compositionality and Non-compositionality. In this article, we consider the classification performance according to the word semantic and the context. This classification for machine translation has a crucial role in the fields, directly determine the translation method: classified as compositionality, the meaning can be explained based on the literal meaning; while classified as non-compositionality, it is required to explain the MWE from the idiotic way.