نتایج جستجو برای: lexical cohesion patterns lcps
تعداد نتایج: 450051 فیلتر نتایج به سال:
We present a system for the linguistic exploration and analysis of lexical cohesion in English texts. Using an electronic thesaurus-like resource, Princeton WordNet, and the Brown Corpus of English, we have implemented a process of annotating text with lexical chains and a graphical user interface for inspection of the annotated text. We describe the system and report on some sample linguistic ...
in this study an adaptation of halliday and hasan's (1976) description of cohesion in english was applied to the spoken narratives of typical developing children. regarding the development in grammatical cohesion, narrations of 3 groups of children 4;00 to 7;00 years of age, 5 in each age group, were analyzed and compared with each other. this research applies an experimental method.to evaluate...
Lexical Cohesion is a commonly studied linguistic feature as it is easily identified from the surface of a text. However, the purposes for studying lexical cohesion are varied, and each purpose requires different methods. This study analyzes two short movie review texts for four different research purposes using lexical cohesion: text evaluation, text segmentation, text summarization, and text ...
Lexical cohesion is a property of text, achieved through lexical-semantic relations between words in text. Most information retrieval systems make use of lexical relations in text only to a limited extent. In this paper we empirically investigate whether the degree of lexical cohesion between the contexts of query terms’ occurrences in a document is related to its relevance to the query. Lexica...
An analogy is presented between music and linguistic discourse in terms of lexical cohesion. Linguistic discourse and music are two different manifestations of human communication. They are both meaningful and coherent, and both are processes inherently temporal. Lexical cohesion is a semantic relation manifested in the lexical level of language. A short sample of discourse is analysed and comp...
This study compares and contrasts lexical cohesion in English and Persian abstracts of Iranian medical students’ theses to appreciate textualization processes in the two languages. For this purpose, one hundred English and Persian abstracts were selected randomly and analyzed based on Seddigh and Yarmohamadi’s (1996) lexical cohesion framework, a version of Halliday and Hasan’s (1976) and Halli...
This article outlines a quantitative method for segmenting texts into thematically coherent units. This method relies on a network of lexical collocations to compute the thematic coherence of the different parts of a text from the lexical cohesiveness of their words. We also present the results of an experiment about locating boundaries between a series of concatened texts. 1 I n t r o d u c t ...
Lexical chains provide a representation of the lexical cohesion structure of a text. In this paper, we propose two lexical chain based cohesion models to incorporate lexical cohesion into document-level statistical machine translation: 1) a count cohesion model that rewards a hypothesis whenever a chain word occurs in the hypothesis, 2) and a probability cohesion model that further takes chain ...
In this paper lexical cohesion modeling is considered. We argue that to model lexical cohesion in connected texts it is not enough to find related words in a text. It is important to take into account relations between entities participating in the described situations. Consideration of this factor gives the possibility to develop more flexible lexical chaining algorithms and to construct lexic...
Lexical cohesion arises from a chain of lexical items that establish links between sentences in a text. In this paper we propose three different models to capture lexical cohesion for document-level machine translation: (a) a direct reward model where translation hypotheses are rewarded whenever lexical cohesion devices occur in them, (b) a conditional probability model where the appropriatenes...
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