In studies of anaphor comprehension, the capacity for recognizing a noun in a sentence decreases following the resolution of a repeated-noun anaphor (Gernsbacher, 1989). In studies of recognition memory, the capacity for recognizing a noun in a scrambled sentence decreases following the recognition that another noun has occurred before in the scrambled sentence (Dopkins & Ngo, 2002). The result...

A text partition model is proposed to determine the boundaries of discourse structures. It is based on association of noun-noun relations and noun-verb relations defined on discourse level and sentence level. Three factors are considered: 1) repetition of words, 2) importance of words, and 3) collocational semantics. Ten texts serve as experimental objects. The applications of the results to se...

This paper describes a new method for syntactic analysis of English. Instead of the conventional subject-predicate structure as a basis for analysis, elementary sentence patterns are used. It is observed that there are two basic sentence formats in English. One, using a transitive verb, consists of the sequence noun, verb, noun, noun. The other, using an intransitive verb, consists of the seque...

Embedded noun phrase structures are frequently used in the Japanese language because embedded sentences make modified noun phrases more expressive. In embedded noun phrase structures, a noun phrase modified by an embedded sentence is usually created by extraposing the case, such as the subjective case, of the sentence. In contrast, there is another type of embedded noun phrase structure. In thi...

The present research documents the American English usage frequencies for 136 verbs that occur with noun phrase and tensed sentence complements (e.g., accepted, noun phrase complement: The student knew the answer yesterday, tensed sentence complement: The student knew the answer was correct). This class of verbs has been the focus of numerous empirical studies investigating how syntactic ambigu...

This article describes a compositional model based on syntactic dependencies which has been designed to build contextualized word vectors, by following linguistic principles related the concept of selectional preferences. The strategy proposed in current work evaluated syntactically controlled and multilingual dataset, compared with Transformer BERT-like models, such as Sentence BERT, state-of-...