The Use of Lexical Cohesion Elements in the Writing of ESL Learners

This study investigated the use of lexical elements of cohesion in the essay writing of students of English as a Second Language. Two hundred essays of final year students of the University of Nigeria, Nsukka were collated and analyzed by the researchers in order to identify the lexical elements used to achieve cohesion in writing. The result showed that students used three lexical elements as postulated by Gutwinski in varying degrees in their writings. These include: repetition, synonyms, and lexical sets (collocations). Students tended to use more of repetitions and made minimal use of synonyms and lexical sets to achieve cohesion in writing. This has led to poorly written essays by students. It also implies that lexical cohesion elements should be taught in schools to enable students use them appropriately in writing

COHESION AND COHERENCE IN ARTICLES ABOUT PTNBH IN UNPAD’S WEBSITE: A DISCOURSE ANALYSIS STUDY

PTNBH (Perguruan Tinggi Negeri Badan Hukum/Corporate University) is an independent status of universities that have their own authority. Many internal system of universities are undergoing changes, but these changes provide an opportunity for universities to improve their quality. Universitas Padjadjaran (Unpad) inaugurated the change of status to corporate university (PTNBH) in January 2017. The change was officially marked through the signing of declaration by the Minister of Research and Technology. The event is written in an article published in www.unpad.ac.id. The article is considered as important news relating to the topic and it influences the appeareance of time in website. In article or discourse,cohesion is the relationship between sentences in a discourse, both grammatically and lexically. Using good cohesion, a speaker or writer will be able to produce good discourse. This study will look at (1) how lexical cohesive devices appear in this article and then see (2) whether the lexical cohesive devices affect the number of readers of the article. This underlies the selection of research objects that are closely related to the change of Unpad status to PTNBH. Halliday and Hasan use cohesion to refer to relations of meaning that define it as a text (1976: 4). The definition is thus a semantic one, and like all the components of the semantic system, cohesion is realized through grammar and vocabulary. According to Halliday and Hasan, cohesion can be divided into grammatical and lexical cohesion. Grammatical cohesion includes devices such as reference, substitution, ellipsis and conjunction, while lexical cohesion is divided into reiteration (repetition, synonymy etc.) and collocation (co-occurrence of lexical items). The result of this study will give recommendation to Unpad website maintainers relating to writing style in news

Exploring lexical patterns in text : lexical cohesion analysis with WordNet

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 analyses carried out using the combined thesaurus-corpus resource

Automatic Segmentation of Multiparty Dialogue

In this paper, we investigate the problem of automatically predicting segment boundaries in spoken multiparty dialogue. We extend prior work in two ways. We first apply approaches that have been proposed for predicting top-level topic shifts to the problem of identifying subtopic boundaries. We then explore the impact on performance of using ASR output as opposed to human transcription. Examination of the effect of features shows that predicting top-level and predicting subtopic boundaries are two distinct tasks: (1) for predicting subtopic boundaries, the lexical cohesion-based approach alone can achieve competitive results, (2) for predicting top-level boundaries, the machine learning approach that combines lexical-cohesion and conversational features performs best, and (3) conversational cues, such as cue phrases and overlapping speech, are better indicators for the top-level prediction task. We also find that the transcription errors inevitable in ASR output have a negative impact on models that combine lexical-cohesion and conversational features, but do not change the general preference of approach for the two tasks

On Document Relevance and Lexical Cohesion between Query Terms

Cataloged from PDF version of article.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. Lexical cohesion between distinct query terms in a document is estimated on the basis of the lexical-semantic relations (repetition, synonymy, hyponymy and sibling) that exist between there collocates - words that co-occur with them in the same windows of text. Experiments suggest significant differences between the lexical cohesion in relevant and non-relevant document sets exist. A document ranking method based on lexical cohesion shows some performance improvements. (c) 2006 Elsevier Ltd. All rights reserved

KOHESI GRAMATIKAL DAN KOHESI LEKSIKAL DALAM LIRIK GRUP BAND CAPTAIN JACK

Hidayat, Taufik. 2017. "Grammatical Cohesion and Lexical Cohesion lyrics from band of Captain Jack". Thesis (S-1). Indonesian Literature Study, Faculty of Humanities Diponegoro University, Semarang. Thesis Advisor: Dra.Sri Puji Astuti, M.Pd. dan Riris Tiani, S.S., M. Hum. This thesis study the analysis of grammatical cohesion and lexical cohesion using, lyrics from Captain Jack in the album “4th Captain Jack”. Cohesivesness in a discourse, especially in the lyrics a song, give an idea of what you want songwriter. Therefore, the element of cohesion is an important element in the lyrics. Purpose of this research is to determine the element of cohesion raised in song lyrics “Captain Jack” in the album “4th Captain Jack”. This research is a descriptive study qualitative data source is 13 song in “4th Captain Jack” album containing cohesion. Analysed to see the use of gramatical cohesion and lexical cohesion in song lyrics. This research using observation method with basic techniques record and advance techniques note. The theory that is used is discourse study that focus on cohesion. Conclusion of this study is that Captain Jack lyrics from “4th” album, contains cohesion are elements of grammatical cohesion and lexical cohesion element serve to get cohesiveness by the selection of vocabulary, intensity of the meaning as well as beauty of language. The used grammatical cohesion element include: reference, substitution, ellipsis, and conjunction. While the used element of lexical cohesion namely repetition, synonymy, antonym, collocation, hiponimi, and equivalence. Keywords: Lyrics, Gramatical Cohesion, Lexical Cohesion

SeLeCT: a lexical cohesion based news story segmentation system

In this paper we compare the performance of three distinct approaches to lexical cohesion based text segmentation. Most work in this area has focused on the discovery of textual units that discuss subtopic structure within documents. In contrast our segmentation task requires the discovery of topical units of text i.e., distinct news stories from broadcast news programmes. Our approach to news story segmentation (the SeLeCT system) is based on an analysis of lexical cohesive strength between textual units using a linguistic technique called lexical chaining. We evaluate the relative performance of SeLeCT with respect to two other cohesion based segmenters: TextTiling and C99. Using a recently introduced evaluation metric WindowDiff, we contrast the segmentation accuracy of each system on both "spoken" (CNN news transcripts) and "written" (Reuters newswire) news story test sets extracted from the TDT1 corpus