Parsing is a process of building structure onto a sentence or other string of characters so that the meaning of the sentence or string can be derived. Consider a simple English sentence: ”the boy hit the ball.” Thinking back to elementary school English class, the sentence can be broken into parts of speech as per Figure 1: an article followed by a noun, then a verb, then an article, then a nou...

The increasing interest in providing various information on the Web has heightened the need for a sophisticated search tool. Most existing information retrieval systems, however, merely provides documents, and this often leaves users to read a relatively large amount of full-text. The study of question answering (QA) systems, which enable people to locate the information they need directly from...

Flat noun phrase structure was, up until recently, the standard in annotation for the Penn Treebanks. With the recent addition of internal noun phrase annotation, dependency parsing and applications down the NLP pipeline are likely affected. Some machine translation systems, such as TectoMT, use deep syntax as a language transfer layer. It is proposed that changes to the noun phrase dependency ...

The present study examines the relative order of noun-adjective sequences within code-switched Determiner Phrases. Several hypotheses have been considered: (i) Order is a property defined by noun; (ii) it adjective; (iii) governed carrier phrase. studies that investigated issue all assume class adjectives homogeneous, but in fact, there exist several sub-classes which many languages, including ...

one of the chief discussions within the phrase structure theory is the analysis of the projection level of modifiers of different grammatical categories. this study provides an analysis of the noun phrase structure in persian, considering the projection levels of the post-modifiers. the study is within the framework of the extended standard theory (est) and, in particular, x-bar syntax. data an...

This paper offers a method for the noun phrase recognition of Hungarian natural language texts based on machine learning methods. The approach learns noun phrase tree patterns described by regular expressions from an annotated corpus. The tree patterns are completed with probability values using error statistics. The noun phrase recognition parser tries to find the best-fitting trees for a sent...