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The internationally renowned conference of the European Association for Lexicography (EURALEX) has taken place every two years for the past 39 years. Last year’s conference, held July 12th–16th, 2022, marked EURALEX’s 20th edition, and more than 200 international participants gathered at Mannheim Palace to discuss current developments, learn about new projects, and present their own work — either in lexicography or in one of the many applied or neighboring disciplines such as corpus and computational linguistics.
In this chapter, I will focus on the phenomenon of drop out, i.e., withdrawal from the turn due to overlapping talk, in order to reflect on the link between “unfinished” turns and participation framework. With the help of a sequential and multimodal analysis inspired by the conversation analytical approach, I will show that dropping out from a turn is strongly linked to the availability displayed by potential recipients of a turn-at-talk. Although conversation analysis has described in detail the systematics of overlapping talk, especially of its onset (Jefferson 1973, 1983, 1986) and its resolution (Scheg-loff 2000; Jefferson 2004), the phenomenon of withdrawal from a turn due to simultaneous talk has not been investigated in detail. While it seems to bedifficult to describe this interactional practice by referring exclusively to syntactic features (incompleteness of the turn), I suggest looking at turn withdrawal from a multimodal perspective (e.g. Goodwin 1980, 1981; Mondada2007a; Schmitt 2005), taking into account visible resources like gaze or gesture. The problem of continuing or stopping a turn-in-progress in overlapping talk can be closely linked to the participation framework (Goodwin and Goodwin 2004), as speakers do visibly take into account their recipient’s availability and coordinate their turn construction with the dynamic changes of the participation framework and the interactional space.
Verb preposition combination
(2013)
Verb group
(2013)
In the present contribution, I investigate if and how the English and French editions of the Wiktionary collaborative dictionary can be used as a corpus for real time neology watch. This option is envisaged as a stopgap, when no satisfactory corpus is available. Wiktionary can also prove useful in addition to standard corpus analysis, to minimize the risk of overlooking new coinages and new senses. Since the collaborative dictionary’s quest for exhaustiveness makes the manual inspection of the new additions unreasonable (more than 31,000 English lemmas and 11,000 French lemmas entered the nomenclature in 2020), identifying the possibly relevant headwords is an issue. The solution proposed here is to use Wiktionary revision history to detect the (new or existing) entries that received the greatest number of modifications. The underlying hypothesis is that the most heavily edited pages can help identify the vocabulary related to “hot topics”, assuming that, in 2020, the pandemic-related vocabulary ranks high. I used two measures introduced by Lih (2004), whose aim was to estimate the quality of Wikipedia articles: the so-called rigour (number of edits per page) and diversity (number of unique contributors per page). In the present study, I propose to adapt the rigour and diversity metrics to Wiktionary in order to identify the pages that generated a particular stir, rather than to estimate the quality of the articles. I do not subscribe to the idea that – in Wiktionary – more revisions necessarily produce quality articles (more revisions often produce complete articles). I therefore adopt Lih’s notion of diversity to refer to the number of distinct contributors, but leave out the name rigour when it comes to the number of revisions. Wolfer and Müller-Spitzer (2016) used the two metrics to describe the dynamics of the German and English editions of Wiktionary. One of their findings was that the number of edits per page is correlated with corpus word frequencies. The variation in number of page edits should therefore reflect to some extent the variation of corpus word frequencies. Renouf (2013) established a relationship between the fluctuation of word frequencies in a diachronic corpus and various neological processes. In particular, she illustrated how specific events generate sudden frequency spikes for words previously unseen in the corpus. For instance, Eyjafjallajökull, the – existing – name of an Icelandic glacier, appeared in the corpus when the underlying volcano erupted in 2010 and disrupted air traffic in Europe. In order to check if the same phenomenon occurs when using Wiktionary edits instead of corpus frequencies, I manually annotated the most frequently revised entries (according to various ranking scores) with the binary tag: “related to Covid-19” (yes/no). The annotations were then used to test the ability of various configurations to detect relevant headwords from the English and French Wiktionary, namely Covid-19 neologisms and related existing words that deserve updates.
Using the Google Ngram Corpora for six different languages (including two varieties of English), a large-scale time series analysis is conducted. It is demonstrated that diachronic changes of the parameters of the Zipf–Mandelbrot law (and the parameter of the Zipf law, all estimated by maximum likelihood) can be used to quantify and visualize important aspects of linguistic change (as represented in the Google Ngram Corpora). The analysis also reveals that there are important cross-linguistic differences. It is argued that the Zipf–Mandelbrot parameters can be used as a first indicator of diachronic linguistic change, but more thorough analyses should make use of the full spectrum of different lexical, syntactical and stylometric measures to fully understand the factors that actually drive those changes.
This paper presents types and annotation layers of reply relations in computer- mediated communication (CMC). Reply relations hold between post units in CMC interactions and describe references from one given post to a previous post. We classify three types of reply relations in CMC interactions: first, technical replies, i. e. the possibility to reply directly to a previous post by clicking a ‘reply’ button; second, indentations, e. g. in wiki talk pages in which users insert their contributions in the existing talk page by indenting them and third, interpretative reply relations, i. e. the reply action is not realised formally but signalled by other structural or linguistics means such as address markers ‘@’, greetings, citations and/or Q-A structures. We take a look at existing practices in the description and representation of such relations in corpora and examples of chat, Wikipedia talk pages, Twitter and blogs. We then provide an annotation proposal that combines the different levels of description and representation of reply relations and which adheres to the schemas and practices for encoding CMC corpus documents within the TEI framework as defined by the TEI CMC SIG. It constitutes a prerequisite for correctly identifying higher levels of interactional relations such as dialogue acts or discussion trees.
We present zu-excessive structures like Otto ist zu schwer ‘Otto is too heavy’ as instantiations of comparatives that have been reflexivized. Comparatives express asymmetric relations between distinguished referents, but reflexivization identifies argument places (or reduces two argument places to one), leading to a Symmetrie relation. Reflexivization is thus in conflict with the asymmetry property of comparatives and leads to an intermediate semantic representation that is con- tradictory. Two experiments substantiate that zu-excessives share this property with privative adjective and animal-for-statue constructions that similarly give rise to contradictory semantics. The processing of any of the constructions mentioned yields a positivity in the event-related-potential signature characteristic of concep- tual reorganization; however, the observed positivity occurs earlier in the case of zu-excessives than in the other cases. We propose this difference is due to zu signalling the mandatory preparation for an ensuing repair rather than reflecting the repair Operation itself that involves manipulating the Standard of comparison, coded elsewhere in the String (if at all).