Volume 20, Issue 2

The methodological debates surrounding keyword analysis have given rise to a wide range of keyness metrics. The present paper delineates four dimensions of keyness, which distinguish between frequency- and dispersion-related perspectives. Existing measures are then organized according to these dimensions and evaluated with regard to their performance on a specific keyword analysis task: The identification of key verbs in academic writing. To this end, the rankings produced by 32 different metrics are evaluated against an established academic word list. Further, the reliability of measures is assessed, to determine whether they produce stable rankings across repeated studies on the same pair of text varieties. We observe notable differences among metrics with regard to these criteria. Our findings provide further support for the superiority of the Wilcoxon rank sum test and text-dispersion–based measures, and allow us to identify, within each dimension of keyness, metrics that may be given preference in applied work.

In the absence of a diachronic corpus or a synchronic corpus tagged for speakers’ age, substantiating the presence of semantic change and the stage of change ― initial or advanced ― are challenging tasks. In the present study I introduce three methods for overcoming such difficulties by extracting various kinds of evidence from a synchronic corpus not tagged for speakers’ age. All three methods are based on speakers’ metalinguistic activity. Two of them are of a psycholinguistic nature and the third is of a sociolinguistic nature. Not only do these methods provide data hitherto overlooked by researchers for detecting semantic change, but they can also minimize the researchers’ need for interpretative interventions with regard to speakers’ communicative intentions, thus improving the quality of the analysis.

Conversion is a common feature of present-day English, leading to many ‘heterosemous’ words that express related meanings across multiple word classes. Especially common is verb/noun heterosemy, as in flow or hand , both of which can be used as verbs or as nouns. The prevalence of verb/noun heterosemy sets English apart from closely related Germanic languages and is one respect in which English behaves as a language with high boundary permeability. This paper investigates how verb/noun heterosemy has been evolving in Recent English (1920s–2010s). Using quantitative analysis within a large sample of 877 heterosemous words, it is shown that associations between specific words and word classes have been weakening over the last century. More precisely, within our sample, heterosemous words on average tend to develop towards more balanced heterosemy, whereby their association to either one word class or another becomes less pronounced. The findings suggest that English is in the process of a long-term drift towards greater boundary permeability. As high boundary permeability has been associated with low reliance on inflectional morphology in a language, this could be a long-term consequence of the overall loss of inflections earlier in the history of the language.

Although there is a long tradition of research analyzing the grammatical complexity of texts (in both linguistics and applied linguistics), there is surprisingly little consensus on the nature of complexity. Many studies have disregarded syntactic (and structural) distinctions in their analyses of grammatical text complexity, treating it instead as if it were a single unified construct. However, other corpus-based studies indicate that different grammatical complexity features pattern in fundamentally different ways. The present study employs methods that are informed by structural equation modeling to test the goodness-of-fit of four models that can be motivated from previous research and linguistic theory: a model treating all complexity features as a single dimension, a model distinguishing among three major structural types of complexity features, a model distinguishing among three major syntactic functions of complexity features, and a model distinguishing among nine combinations of structural type and syntactic functions. The findings show that text complexity is clearly a multi-dimensional construct. Both structural and syntactic distinctions are important. Syntactic distinctions are actually more important than structural distinctions, although the combination of the two best accounts for the ways in which complexity features pattern in texts from different registers.

In many languages, the present perfect has grammaticalized, gradually displacing the preterit. Within Spanish, this has been documented with the grammaticalization of the present perfect in Peninsular Spanish. To examine this possibility in two Latin American varieties, this study examined present perfect/preterit variation of 36 speakers from Lima and Mexico City from the PRESEEA corpus. While Lima Spanish presented overall more present perfect than Mexico City Spanish, a similar internal constraint hierarchy is predictive of present perfect use in both speech communities. However, Lima Spanish demonstrated a change in progress toward an expansion of the preterit among younger speakers with the indeterminate temporal reference as locus of change. The findings suggest that present perfect grammaticalization may not always be the most common cross-linguistic pathway but rather is subject to source constraints, which may lead to another pathway in which the preterit expands at the expense of the present perfect.

Loanwords are lexical terms borrowed from foreign languages by transliterating the original sound of the borrowed words with the recipient language’s consonants and vowels. This paper focuses on lexical borrowing in the Korean language from a diachronic perspective. Based on approximately 9,500 Korean loanwords extracted from a corpus of women’s magazine articles of residential sections (the Korean Contemporary Residential Culture Corpus), we investigated the alteration of loanword usage from 1970 to 2015. Having introduced our definition of Korean loanwords in phonological and morphological terms, we performed statistical analysis particularly with type/token frequency and cultural/core loanwords, along with semantic analysis with Period Representative Loanword (PRL). We argue that, in addition to its gradual and rapid increase over time, Korean loanword usage underwent a remarkable evolution in the 1990s.

The study of crosslinguistic variation in word meaning often focuses on representational and concrete meanings. We argue other kinds of word meanings (e.g., abstract and (inter)subjective meanings) can be fruitfully studied in translation corpora, and present a quantitative procedure for doing so. We focus on the cross-linguistic patterns for lemmas pertaining to truth and reality (English true and real ), as these abstract meanings been found to frequently colexify with particular (inter)subjective meanings. Applying our method to a corpus of translated subtitles of TED talks, we show that (1) the abstract-representational meanings are colexified in patterned ways, that, however, are more complex than previously observed (some languages not splitting a ‘true’-like from ‘real’-like terms; many languages displaying further splits of representational meanings); (2) some non-representational meanings strongly colexify with representational meanings of ‘truth’ and ‘reality’, while others also often colexify with other fields.