Based on Research Connecting Word Corpus of Spoken English

2014 ◽  
Vol 1030-1032 ◽  
pp. 2689-2692
Author(s):  
Yong Mei Peng ◽  
Yun Hua Qu
Keyword(s):  
Native Speakers ◽  
Chinese Students ◽  
Spoken Word ◽  
English Teaching ◽  
Spoken English ◽  
English Majors ◽  
Reference Corpus ◽  
Native Speakers Of English ◽  
British National Corpus ◽  
National Corpus

This paper examines our spoken English Majors used to connect words and characteristics. Corpus used the "Chinese students Spoken and Written English Corpus (SWECCL2.0)" in the spoken corpus SECCL2.0, reference corpus used in the British National Corpus BNC spoken corpus BNC Spoken Corpus (BNC / S). The study found that of native speakers of English majors and English spoken words using both common connections are also differences. Meanwhile, China's English Majors spoken word there are multiple connections with the situation misuse. Based on the findings, the article on spoken English teaching some suggestions.

Native and non-native uses of English modal particles. The case of "surely" and "for sure"

2015 ◽  
Vol 51 (4) ◽  
Author(s):  
Agata Rozumko
Keyword(s):  
Native Speakers ◽  
Modal Particles ◽  
Scholarly Publications ◽  
Native Speakers Of English ◽  
Native Student ◽  
British National Corpus ◽  
National Corpus

AbstractIt has frequently been noted that non-native speakers of English find it difficult to express their views with the appropriate degree of conviction. However, many of the problems which non-native speakers have with specific modal expressions are still waiting to be identified. The aim of this paper is to compare native and non-native (student) uses of two English epistemics: "surely" and "for sure". The students' uses are mostly examined with reference to PICLE (the Polish subsection of the International Corpus of Learner English), while native uses are analyzed on the basis of two corpora of texts written by native speakers of English available at the PICLE website, the British National Corpus, and scholarly publications concerning the two particles. The study demonstrates that Polish students tend to wrongly assume the functions of surely and for sure to be identical with the functions of the Polish expression "na pewno" (a literal equivalent of "for sure" with a broader range of uses). In consequence, they use the challenging and pressure-building particle "surely" in contexts which require neutral epistemic adverbs, such as "clearly". They also tend to put "for sure" in positions characteristic of epistemic adverbs, and use it in formal discourse.

The limits of extended naturalistic exposure on the perceptual mastery of English /r/ and /l/ by adult Japanese learners of English

1995 ◽  
Vol 16 (4) ◽  
pp. 380-406 ◽  
Author(s):  
Naoyuki Takagi ◽  
Virginia Mann
Keyword(s):  
United States ◽  
Native Speakers ◽  
The United States ◽  
Identification Accuracy ◽  
Spoken English ◽  
Japanese Learners Of English ◽  
Native Speakers Of English ◽  
Japanese Learners ◽  
One Year ◽  
Adult Exposure

AbstractTo evaluate the effect of extended adult exposure to authentic spoken English on the perceptual mastery of English /r/ and /l/, we tested 12 native speakers of English (A), 12 experienced Japanese (EJ) who had spent 12 or more years in the United States, and 12 less experienced Japanese (LJ) who had spent less than one year in the United States. The tests included the forced-choice identification of naturally produced /r/s and /1/s and the labeling of word-initial synthetic tokens that varied F2 and F3 to form an /r/-/l/-/w/ continuum. The F.Js’ mean performance in both tasks was closer to that of the As than the LJs, but nonetheless fell short. Extended exposure may improve /r/-/l/ identification accuracy; it does not ensure perfect perceptual mastery.

Social Differentiation in the Use of English Vocabulary

1997 ◽  
Vol 2 (1) ◽  
pp. 133-152 ◽  
Author(s):  
Paul Rayson ◽  
Geoffrey N. Leech ◽  
Mary Hodges
Keyword(s):  
Social Group ◽  
Geographical Region ◽  
Social Differentiation ◽  
Future Research ◽  
Analysis Tool ◽  
Spoken English ◽  
Transcription System ◽  
Group A ◽  
British National Corpus ◽  
National Corpus

In this article, we undertake selective quantitative analyses of the demographi-cally-sampled spoken English component of the British National Corpus (for brevity, referred to here as the ''Conversational Corpus"). This is a subcorpus of c. 4.5 million words, in which speakers and respondents (see I below) are identified by such factors as gender, age, social group, and geographical region. Using a corpus analysis tool developed at Lancaster, we undertake a comparison of the vocabulary of speakers, highlighting those differences which are marked by a very high X2 value of difference between different sectors of the corpus according to gender, age, and social group. A fourth variable, that of geographical region of the United Kingdom, is not investigated in this article, although it remains a promising subject for future research. (As background we also briefly examine differences between spoken and written material in the British National Corpus [BNC].) This study is illustrative of the potentiality of the Conversational Corpus for future corpus-based research on social differentiation in the use of language. There are evident limitations, including (a) the reliance on vocabulary frequency lists and (b) the simplicity of the transcription system employed for the spoken part of the BNC The conclusion of the article considers future advances in the research paradigm illustrated here.

L2-constructions that go together – more on valency constructions and learner language

2019 ◽  
Vol 7 (1) ◽  
pp. 9-30
Author(s):  
Armine Garibyan ◽  
Evelin Balog ◽  
Thomas Herbst
Keyword(s):  
Argument Structure ◽  
Stimulus Word ◽  
Native Speakers ◽  
Language Teaching ◽  
Verbal Stimulus ◽  
Test Battery ◽  
Advanced Learners ◽  
British National Corpus ◽  
Learner Language ◽  
National Corpus

Abstract This paper sets out to illustrate differences between learner language and the language of native speakers by a number of tests carried out with students of English at the Friedrich-Alexander-Universität Erlangen-Nürnberg. The first part of the experiment aims at testing knowledge of collocations: In order to compare to what extent combinations of certain words are stored in the constructica of native speakers and advanced learners of English, we used the test battery developed by Dąbrowska (2014): although, as was to be expected, on the whole, native speakers displayed a much greater competence at judging which combinations of words can be regarded as established collocations, interestingly, some learners outperformed some native speakers. The second part of the project was designed to explore the number and types of different valency constructions informants produce on being provided with a verbal stimulus. It is very interesting to see that, given the stimulus word caught, for example, the non-native speakers would predominantly produce sentences with police, thief, murderer, suspect etc. which do not rank amongst the 50 top collexemes of caught in the British National Corpus. We would thus argue that an analysis of the words used in particular slots of argument structure constructions (i.e. the collexemes or itecxes) provides a useful means of characterizing the language of advanced learners and to underscore the importance of collo-phenomena in language teaching.

scholarly journals Detecting innovations in a parsed corpus of learner English

2016 ◽  
Vol 2 (2) ◽  
pp. 177-204 ◽  
Author(s):  
Gerold Schneider ◽  
Gaëtanelle Gilquin
Keyword(s):  
Large Scale ◽  
Data Driven ◽  
Phrasal Verbs ◽  
Scale Method ◽  
T Score ◽  
Reference Corpus ◽  
Similarities And Differences ◽  
British National Corpus ◽  
Qualitative Analyses ◽  
National Corpus

In research on L2 English, recent corpus-based studies indicate that some non-standard forms are shared by indigenized (ESL) and foreign (EFL) varieties of English, which challenges the idea of a clear dichotomy between innovation and error. We present a data-driven large-scale method to detect innovations, test it on verb + preposition structures (including phrasal verbs) and adjective + preposition structures, and describe similarities and differences between EFL and ESL. We use a dependency-parsed version of the International Corpus of Learner English to automatically extract potential innovations, defined as patterns of overuse compared to the British National Corpus as reference corpus. We measure overuse by means of collocation measures like O/E or T-score, and compare our results with similar results for ESL. In both quantitative and qualitative analyses, we detect similarities between the two varieties (e.g. discuss about) and dissimilarities (e.g. accuse for, only distinctive for EFL). We report more verb/adjective + preposition combinations than previous studies and discuss the roles of analogy and transfer.

scholarly journals FUNCTIONAL LOAD: TRANSCRIPTION AND ANALYSIS OF THE 10,000 MOST FREQUENT WORDS IN SPOKEN ENGLISH

2010 ◽  
Vol 3 ◽  
pp. 135-162
Author(s):  
Leah Gilner ◽  
Frank Morales
Keyword(s):  
Point Of View ◽  
Subsequent Work ◽  
Functional Load ◽  
Spoken English ◽  
Equal Importance ◽  
British National Corpus ◽  
National Corpus ◽  
Language Description ◽  
Fluent Speakers

Not all aspects of a language have equal importance for speakers or for learners. From the point of view of language description, functional load is a construct that attempts to establish quantifiable hierarchies of relevance among elements of a linguistic class. This paper makes use of analyses conducted on the 10-million-word spoken subcorpus of the British National Corpus in order to characterize what amounts to approximately 97% of the phonological forms and components heard and produced by fluent speakers in a range of contexts. Our aim is to provide segmental, sequential, and syllabic level rankings of spoken English that can serve as the basis for reference and subsequent work by language educators and researchers.

scholarly journals Extracting Significant Words in Engineering Texts for Specialised Language Descriptions

2019 ◽  
Vol 8 (12) ◽  
pp. 5862-5868
Keyword(s):  
Language Use ◽  
Visual Representations ◽  
Academic Discourse ◽  
Multivariate Technique ◽  
Technical Vocabulary ◽  
Reference Corpus ◽  
Language Needs ◽  
British National Corpus ◽  
Potential Tool ◽  
National Corpus

The academic discourse of a specialised language is characterised by specialised and technical vocabulary, and lexicogrammar. Studies on language description suggest the need to explore and determine the specific characteristics of the academic discourse of each specialised language, to serve the language needs of the learners. This study demonstrates an exploration of this discipline specificity by looking at the nouns used in a specialised language - an Engineering English. It attempts to integrate a multivariate technique, i.e. the Correspondence Analysis (CA), as a tool to extract significant nouns in a specialised language for any further language use scrutiny. CA allows visual representations of the word interrelationships across different genres in a specialised language. To exemplify this, an Engineering English Corpus (E2C) was created. E2C is composed of two sub-corpora (genres): Engineering reference books (RBC) and online journals articles (EJC). The British National Corpus (BNC) was used as the reference corpus. 30 key-key-nouns were identified from the E2C, and the frequency lists of the words were retrieved from all the corpora to run the CA. The CA maps of the nouns display how these corpora are different from each other, as well as, which words characterise not only E2C from a general corpus (BNC), but also the different genres in E2C. Thus, CA proves to be a potential tool to display words which characterise not only a specialised corpus from a general corpus, but also the different genres in that specialised corpus. This study promises more informed descriptions of a specialised language can be made with the identification of specific and significant vocabulary for any academic discourse investigations.

scholarly journals Swearing in informal spoken English: 1990s–2010s

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Robbie Love
Keyword(s):  
Large Scale ◽  
Economic Status ◽  
Age Groups ◽  
British English ◽  
Spoken English ◽  
Gender And Age ◽  
The Social ◽  
Social Distribution ◽  
British National Corpus ◽  
National Corpus

Abstract This paper investigates changes in swearing usage in informal speech using large-scale corpus data, comparing the occurrence and social distribution of swear words in two corpora of informal spoken British English: the demographically-sampled part of the Spoken British National Corpus 1994 (BNC1994) and the Spoken British National Corpus 2014 (BNC2014); the compilation of the latter has facilitated large-scale, diachronic analyses of authentic spoken data on a scale which has, until now, not been possible. A form and frequency analysis of a set of 16 ‘pure’ swear word lemma forms is presented. The findings reveal that swearing occurrence is significantly lower in the Spoken BNC2014 but still within a comparable range to previous studies. Furthermore, FUCK is found to overtake BLOODY as the most popular swear word lemma. Finally, the social distribution of swearing across gender and age groups generally supports the findings of previous research: males still swear more than females, and swearing still peaks in the twenties and declines thereafter. However, the distribution of swearing according to socio-economic status is found to be more complex than expected in the 2010s and requires further investigation. This paper also reflects on some of the methodological challenges associated with making comparisons between the two corpora.

scholarly journals Error Correction in Oral Classroom English Teaching

2016 ◽  
Vol 9 (12) ◽  
pp. 98
Author(s):  
Huang Jing ◽  
Hao Xiaodong ◽  
Liu Yu
Keyword(s):  
Language Learning ◽  
Error Correction ◽  
Junior High ◽  
Chinese Students ◽  
The Other ◽  
Classroom Teaching ◽  
English Teaching ◽  
Spoken English ◽  
Causes Of Errors ◽  
Learning English

<p>As is known to all, errors are inevitable in the process of language learning for Chinese students. Should we ignore students’ errors in learning English?</p><p>In common with other questions, different people hold different opinions. All teachers agree that errors students make in written English are not allowed. For the errors students make in oral English, opinions vary from person to person. Many teachers think we should mainly focus on fostering the students’ competence of using the languages fluently, and errors the students make can be ignored. As far as I am concerned, we shouldn’t teach students this way.</p><p>In theory, there is no doubt that students are allowed to make errors while learning English. As Li yang puts it, students should enjoy making mistakes. There is another saying that the more mistakes you make, the more you will learn. It shows that mistakes can unfold what students are poor in. The teacher can help them out in time. All students hope for teachers’ help. They are willing to follow teachers’ guidance when necessary. Only in this way can they improve their English little by little. On the other hand, if we ignore students’ errors in spoken English, they will never be able to communicate well with other in English or do well in exams. In fact, the language error usually occurs in classroom English teaching at junior high school.This thesis will talk about language error correction in classroom teaching at junior high shool through analyzing the types of errors and exploring the causes of errors. And it will put forward to some strategies to correct these errors.</p>

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