This study tested whether an Intermediate Phrase (ip) right boundary is interpreted by French listeners as cueing a major syntactic break (e.g. NounPhrase/Verb Phrase break) or also a weaker syntactic break (e.g. Noun Phrase internal boundary). Pairs of Noun Phrases, whose segmental structure was identical up to the sixth syllable, but differing in the potential placement of either an Accentual...

In this paper we present NLML (Natural Language Markup Language), a markup language to describe the syntactic and semantic structure of any grammatically correct English expression. At first the related works are analyzed to demonstrate the necessity of the NLML: simple form, easy management and direct storage. Then the description of the English grammar with NLML is introduced in details in th...

This paper shows that linguistic techniques along with machine learning can extract high quality noun phrases for the purpose of providing the gist or summary of email messages. We describe a set of comparative experiments using several machine learning algorithms for the task of salient noun phrase extraction. Three main conclusions can be drawn from this study: (i) the modifiers of a noun phr...

Structural priming, the tendency for speakers to reuse the structures of recent utterances (Bock, 1986) or to produce repeated structures more fluently, is well documented for structural selection, but less so for phrase structure generation. Priming of structural choices is long-lived, persisting across intervening utterances (Bock & Griffin, 2000), but priming of phrase structure does not sur...

Brain-based features of meaning (sensory-motor features: sound, color, manipulation, motion, and shape) are used to compare two popular models of adjective-noun semantic composition: element-wise vector addition and multiplication. A large literature (e.g. Fernandino et al., 2015) suggests that perceptual systems contain information that can be extracted using neural decoding (e.g. Anderson, Mu...

Automated medical concept recognition is important for medical informatics such as medical document retrieval and text mining research. In this paper, we present a software tool called keyphrase identification program (KIP) for identifying topical concepts from medical documents. KIP combines two functions: noun phrase extraction and keyphrase identification. The former automatically extracts n...

The Guardian editorial headline is viewed as a two-component structure punctuated with colons in which the first part names topic and second one provides its comment. article examines frequency diversity of eight noun phrase patterns gives structural functional analysis their constituents. author studies how categorial features nouns, adjectives, prepositions manifest themselves on level. Three...

In this paper, we present a learning approach to coreference resolution of noun phrases in unrestricted text. The approach learns from a small, annotated corpus and the task includes resolving not just a certain type of noun phrase (e.g., pronouns) but rather general noun phrases. It also does not restrict the entity types of the noun phrases; that is, coreference is assigned whether they are o...