The thesis presents a method for diachronic comparison of synchronic corpora that reflect language of very close time periods. Its primary aim is the assessment of possi- bilities and limitations of language change detection based on the synchronic written SYN-series corpora. The approach is corpus-driven, based on a statistical evaluation of differences among normalized average reduced frequencies of lemmata and lexical combinations. There are several variants of the method applied on various subcorpora of corpus SYN and their results examined in detail. Difficulty of the comparison lies in the influence of corpus composition and the interconnection of changes in language with changes in society. As it is not easy to distinguish the signs ...
© Springer Nature Switzerland AG 2020. The article proposes a method for detecting semantic change u...
The author shows the difference between synchronic and diachronic approach to language data, usinng ...
The paper presents a corpus-driven method for the detection of recent grammatical change in contempo...
The thesis presents a method for diachronic comparison of synchronic corpora that reflect language o...
In this paper, a method for measuring synchronic corpus (dis-)similarity put forward by Kilgarriff (...
With the increasing availability of diachronic corpora, machine-aided identification of linguistic i...
With the increasing availability of diachronic corpora, machine-aided identification of linguistic i...
With the increasing availability of diachronic corpora, machine-aided identification of linguistic i...
This thesis consists of the following three papers that all have been published in international pee...
The paper draws data from four matching one-million word corpora, namely Brown (US, 1961), LOB (GB, ...
With the increasing availability of diachronic corpora, machine-aided identification of linguistic i...
With the increasing availability of diachronic corpora, machine-aided identification of linguistic i...
Presented at the University of Kansas, Institute for Digital Research in the Humanities, January 26,...
With the increasing availability of diachronic corpora, machine-aided identification of linguistic i...
In this paper, an exploratory data-driven method is presented that extracts word-types from diachron...
© Springer Nature Switzerland AG 2020. The article proposes a method for detecting semantic change u...
The author shows the difference between synchronic and diachronic approach to language data, usinng ...
The paper presents a corpus-driven method for the detection of recent grammatical change in contempo...
The thesis presents a method for diachronic comparison of synchronic corpora that reflect language o...
In this paper, a method for measuring synchronic corpus (dis-)similarity put forward by Kilgarriff (...
With the increasing availability of diachronic corpora, machine-aided identification of linguistic i...
With the increasing availability of diachronic corpora, machine-aided identification of linguistic i...
With the increasing availability of diachronic corpora, machine-aided identification of linguistic i...
This thesis consists of the following three papers that all have been published in international pee...
The paper draws data from four matching one-million word corpora, namely Brown (US, 1961), LOB (GB, ...
With the increasing availability of diachronic corpora, machine-aided identification of linguistic i...
With the increasing availability of diachronic corpora, machine-aided identification of linguistic i...
Presented at the University of Kansas, Institute for Digital Research in the Humanities, January 26,...
With the increasing availability of diachronic corpora, machine-aided identification of linguistic i...
In this paper, an exploratory data-driven method is presented that extracts word-types from diachron...
© Springer Nature Switzerland AG 2020. The article proposes a method for detecting semantic change u...
The author shows the difference between synchronic and diachronic approach to language data, usinng ...
The paper presents a corpus-driven method for the detection of recent grammatical change in contempo...