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Informacje o czasopiśmie
Format
Czasopismo
eISSN
1502-5462
Pierwsze wydanie
28 Apr 2014
Częstotliwość wydawania
1 raz w roku
Języki
Angielski

Wyszukiwanie

Tom 44 (2020): Zeszyt 1 (March 2020)

Informacje o czasopiśmie
Format
Czasopismo
eISSN
1502-5462
Pierwsze wydanie
28 Apr 2014
Częstotliwość wydawania
1 raz w roku
Języki
Angielski

Wyszukiwanie

6 Artykułów
Otwarty dostęp

Evidentiality in gendered styles in spoken English

Data publikacji: 12 Mar 2020
Zakres stron: 5 - 35

Abstrakt

Otwarty dostęp

Issues and challenges in compiling a corpus of Early Modern English plays for comparison with those of William Shakespeare

Data publikacji: 12 Mar 2020
Zakres stron: 37 - 68

Abstrakt

Abstract

In this article I discuss the issues and challenges of compiling a corpus of historical plays by a range of playwrights that is highly suitable for use in comparative, corpus-based research into language style in Shakespeare’s plays. In discussing sources for digitised historical play-texts and criteria for making a selection for the present study, I argue that not just any set of Early Modern English plays constitutes a suitable basis upon which to make reliable claims about language style in Shakespeare’s plays relative to those of his peers. I point out factors outside of authorial choice which potentially have bearing on language style, such as sub-genre features and change over time. I also highlight some particular difficulties in compiling a corpus of historical texts, notably dating and spelling variation, and I explain how these were addressed. The corpus detailed in this article extends the prospects for investigating Shakespeare’s language style by providing a context into which it can be set and, as I indicate, is a valuable new publicly accessible resource for future research.

Otwarty dostęp

There’s more to alternations than the main diagonal of a 2×2 confusion matrix: Improvements of MuPDAR and other classificatory alternation studies

Data publikacji: 12 Mar 2020
Zakres stron: 69 - 96

Abstrakt

Abstract

Corpus-based studies of learner language and (especially) English varieties have become more quantitative in nature and increasingly use regression-based methods and classifiers such as classification trees, random forests, etc. One recent development more widely used is the MuPDAR (Multifactorial Prediction and Deviation Analysis using Regressions) approach of Gries and Deshors (2014) and Gries and Adelman (2014). This approach attempts to improve on traditional regression- or tree-based approaches by, firstly, training a model on the reference speakers (often native speakers (NS) in learner corpus studies or British English speakers in variety studies), then, secondly, using this model to predict what such a reference speaker would produce in the situation the target speaker is in (often non-native speakers (NNS) or indigenized-variety speakers). Crucially, the third step then consists of determining whether the target speakers made a canonical choice or not and explore that variability with a second regression model or classifier.

Both regression-based modeling in general and MuPDAR in particular have led to many interesting results, but we want to propose two changes in perspective on the results they produce. First, we want to focus attention on the middle ground of the prediction space, i.e. the predictions of a regression/classifier that, essentially, are made non-confidently and translate into a statement such as ‘in this context, both/all alternants would be fine’. Second, we want to make a plug for a greater attention to misclassifications/-predictions and propose a method to identify those as well as discuss what we can learn from studying them. We exemplify our two suggestions based on a brief case study, namely the dative alternation in native and learner corpus data.

Otwarty dostęp

Corpus linguistics and African Englishes

Data publikacji: 12 Mar 2020
Zakres stron: 97 - 101

Abstrakt

Otwarty dostęp

Applications of pattern-driven methods in corpus linguistics

Data publikacji: 12 Mar 2020
Zakres stron: 102 - 104

Abstrakt

Otwarty dostęp

Corpus linguistics and the description of English

Data publikacji: 12 Mar 2020
Zakres stron: 105 - 109

Abstrakt

6 Artykułów
Otwarty dostęp

Evidentiality in gendered styles in spoken English

Data publikacji: 12 Mar 2020
Zakres stron: 5 - 35

Abstrakt

Otwarty dostęp

Issues and challenges in compiling a corpus of Early Modern English plays for comparison with those of William Shakespeare

Data publikacji: 12 Mar 2020
Zakres stron: 37 - 68

Abstrakt

Abstract

In this article I discuss the issues and challenges of compiling a corpus of historical plays by a range of playwrights that is highly suitable for use in comparative, corpus-based research into language style in Shakespeare’s plays. In discussing sources for digitised historical play-texts and criteria for making a selection for the present study, I argue that not just any set of Early Modern English plays constitutes a suitable basis upon which to make reliable claims about language style in Shakespeare’s plays relative to those of his peers. I point out factors outside of authorial choice which potentially have bearing on language style, such as sub-genre features and change over time. I also highlight some particular difficulties in compiling a corpus of historical texts, notably dating and spelling variation, and I explain how these were addressed. The corpus detailed in this article extends the prospects for investigating Shakespeare’s language style by providing a context into which it can be set and, as I indicate, is a valuable new publicly accessible resource for future research.

Otwarty dostęp

There’s more to alternations than the main diagonal of a 2×2 confusion matrix: Improvements of MuPDAR and other classificatory alternation studies

Data publikacji: 12 Mar 2020
Zakres stron: 69 - 96

Abstrakt

Abstract

Corpus-based studies of learner language and (especially) English varieties have become more quantitative in nature and increasingly use regression-based methods and classifiers such as classification trees, random forests, etc. One recent development more widely used is the MuPDAR (Multifactorial Prediction and Deviation Analysis using Regressions) approach of Gries and Deshors (2014) and Gries and Adelman (2014). This approach attempts to improve on traditional regression- or tree-based approaches by, firstly, training a model on the reference speakers (often native speakers (NS) in learner corpus studies or British English speakers in variety studies), then, secondly, using this model to predict what such a reference speaker would produce in the situation the target speaker is in (often non-native speakers (NNS) or indigenized-variety speakers). Crucially, the third step then consists of determining whether the target speakers made a canonical choice or not and explore that variability with a second regression model or classifier.

Both regression-based modeling in general and MuPDAR in particular have led to many interesting results, but we want to propose two changes in perspective on the results they produce. First, we want to focus attention on the middle ground of the prediction space, i.e. the predictions of a regression/classifier that, essentially, are made non-confidently and translate into a statement such as ‘in this context, both/all alternants would be fine’. Second, we want to make a plug for a greater attention to misclassifications/-predictions and propose a method to identify those as well as discuss what we can learn from studying them. We exemplify our two suggestions based on a brief case study, namely the dative alternation in native and learner corpus data.

Otwarty dostęp

Corpus linguistics and African Englishes

Data publikacji: 12 Mar 2020
Zakres stron: 97 - 101

Abstrakt

Otwarty dostęp

Applications of pattern-driven methods in corpus linguistics

Data publikacji: 12 Mar 2020
Zakres stron: 102 - 104

Abstrakt

Otwarty dostęp

Corpus linguistics and the description of English

Data publikacji: 12 Mar 2020
Zakres stron: 105 - 109

Abstrakt

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