What's New on the Internetz? Extraction and Lexical Categorisation of Collocations in Computer-Mediated Slovene

Pollak, Senja; Gantar, Polona; Holdt, Špela Arhar

doi:10.1093/ijl/ecy026

Cited by 4 publications

(8 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…But their 4 categories: 'lexically', 'collocationally', as well as 'semantically new vocabulary', and finally 'terminology', are all covered by the content of our first 2 categories: 'new sense or fixed expression' or 'new collocation'. Pollak et al (2019) apparently do not double-annotate the data, and as we shall see, the double annotation is in our case an important part of our method, and likewise plays an important role in the analysis and conclusions. Nor do Pollak et al (2019) investigate to which degree the annotated data in each case entails an update in a practical lexicographic project, and what exact type of update that ends up being carried out on the basis of each bigram in the dictionary.…”

mentioning

confidence: 75%

“…Pollak et al (2019) apparently do not double-annotate the data, and as we shall see, the double annotation is in our case an important part of our method, and likewise plays an important role in the analysis and conclusions. Nor do Pollak et al (2019) investigate to which degree the annotated data in each case entails an update in a practical lexicographic project, and what exact type of update that ends up being carried out on the basis of each bigram in the dictionary. Our study allows us to compare on the one hand the annotations and the inter-annotator agreement, on the other hand the different types of resulted updates, and to draw some conclusions based on the combinations.…”

mentioning

confidence: 75%

“…It is a well-established fact that collocational change might indicate sense change (Tahmasebi et al, 2018;Pollak et al 2019;Traugott, 2017). For instance, Pollak et al (2019) compare automatically extracted collocations from computer-mediated communication (such as blogs and social networks) with those from a general language reference corpus and discover not only topic/genre-related new words, but also new meanings of previously lexicographically described vocabulary. In contrast to this, the present paper is based on the comparison of sets of automatically extracted collocations from corpora which are similar in composition and genre, but which instead cover different timespans.…”

Section: Methodsmentioning

confidence: 99%

“…1/4, of the automatically extracted dataset leads (or will lead) to a resulting update in the dictionary, while 3/4 do not. In comparison, Pollak et al (2019) find a little less "lexically, collocationally, or semantically new data that can be considered in the process of updating existing lexical resources for Slovene" (p. 197), namely 21.6%. The initial annotation by two lexicographers made it possible to discard many bigrams in the extracted dataset in an efficient and not very time-consuming way.…”

Section: How Useful Was the Automatically Calculated Dataset?mentioning

confidence: 99%

See 3 more Smart Citations

Updating the dictionary: Semantic change identification based on change in bigrams over time

Nimb¹,

Sørensen²,

Lorentzen³

2020

SLO2.0

View full text Add to dashboard Cite

We investigate a method of updating a Danish monolingual dictionary with new semantic information on already included lemmas in a systematic way, based on the hypothesis that the variation in bigrams over time in a corpus might indicate changes in the meaning of one of the words. The method combines corpus statistics with manual annotations. The first step consists in measuring the collocational change in a homogeneous newswire corpus with texts from a 14 year time span, 2005 through 2018, by calculating all the statistically significant bigrams. These are then applied to a new version of the corpus that is split into one sub-corpus per year. We then collect all the bigrams that do not appear at all in the first three years, but appear at least 20 times in the following 11 years. The output, a dataset of 745 bigrams considered to be potentially new in Danish, are double annotated, and depending on the annotations and the inter-annotator agreement, either discarded or divided into groups of relevant data for further investigation. We then carry out a more thorough lexicographical study of the bigrams in order to determine the degree to which they support the identification of new senses and lead to revised sense inventories for at least one of the words Furthermore we study the relation between the revisions carried out, the annotation values and the degree of inter-annotator agreement. Finally, we compare the resulting updates of the dictionary with Cook et al. (2013), and discuss whether the method might lead to a more consistent way of revising and updating the dictionary in the future.

show abstract

mentioning

confidence: 75%

mentioning

confidence: 75%

Section: Methodsmentioning

confidence: 99%

Section: How Useful Was the Automatically Calculated Dataset?mentioning

confidence: 99%

See 2 more Smart Citations

Updating the dictionary: Semantic change identification based on change in bigrams over time

Nimb¹,

Sørensen²,

Lorentzen³

2020

SLO2.0

View full text Add to dashboard Cite

show abstract

“…Moreover, such comparisons can even provide geolocational information of COVID-19-related usage, for example the grammatical relation lockdown in reveals nouns such as Wuhan, Luzon, Hubei, Lombardy, and Italy in 2020 (but not in 2013-2019). A similar analysis of collocations, but by comparing computer-mediated language with the reference corpus, has been conducted by Pollak et al (2019). In fact, social media such as Twitter, Facebook, etc.…”

Section: News Corporamentioning

confidence: 99%

Covid-19 Insights and Linguistic Methods

Tan

Woods

Azman

et al. 2020

View full text Add to dashboard Cite

The emergence of COVID-19 affects the world population in many ways, resulting in its own specialised discourse. In addition to providing a source of data for analysis, this discourse has also led to a rethinking of multifarious research methods. This section presents a series of articles by scholars from different parts of the world with macro-and micro-linguistic perspectives, ranging from corpus-based analysis to content analysis studies. At the macro level, these scholars explored ways through which government bodies communicate with the public. Official announcements, parliamentary proceedings and COVID-19-related corpora are examined and a comparative textual analysis between the Malaysian and British governments is provided. At the micro level, the scholars analysed selected corpora with lexical, semantic, and discourse foci and personal posts of short narratives and photos to encapsulate meanings from human life and experience. The main takeaway from these studies is the application of a wide range of methods for different focus and perspectives that may be customised to the researcher's unique context.

show abstract

Linguistic Images of Man and Woman in the Story of Ivan Franko “Cross-Paths”: Attributive Compatibility

Bulyk-Verkhola¹,

Hnatyuk²,

Shmilyk³

et al. 2023

Studies in Systems, Decision and Control

View full text Add to dashboard Cite

What's New on the Internetz? Extraction and Lexical Categorisation of Collocations in Computer-Mediated Slovene

Cited by 4 publications

References 25 publications

Updating the dictionary: Semantic change identification based on change in bigrams over time

Updating the dictionary: Semantic change identification based on change in bigrams over time

Covid-19 Insights and Linguistic Methods

Linguistic Images of Man and Woman in the Story of Ivan Franko “Cross-Paths”: Attributive Compatibility

Contact Info

Product

Resources

About