| Titel: |
Augmenting online dictionary entries with corpus data for Search Engine Optimisation |
| Personen: | Hvelplund, Holger/Kilgarriff, Adam/Lannoy, Vincent/White, Patrick |
| Jahr: |
2013 |
| Typ: |
Aufsatz |
| Verlag: |
Trojina, Institute for Applied Slovene Studies/Eesti Keele Instituut |
| Ortsangabe: |
Ljubljana/Tallinn |
| In: |
Kosem, Iztok/Kallas, Jelena/Gantar, Polona/Krek, Simon/Langemets, Margit/Tuulik, Maria (Hgg.): Electronic lexicography in the 21st century: thinking outside the paper. Proceedings of the eLex 2013 conference, 17 - 19 October 2013, Tallinn, Estonia |
| Seiten: |
66-75 |
| Untersuchte Sprachen: |
Englisch*English |
| Schlagwörter: |
Internet-Lexikografie/Online-Lexikografie*internet lexicography/online lexicography
Kollokationen/Phraseologismen/Wortverbindungen*collocations/phraseologisms/multi word items
korpusbasierte Lexikografie*corpus-based lexicography
Suchfunktion*search option
|
| URI: |
http://eki.ee/elex2013/conf-proceedings/ |
| Zuletzt besucht: |
17.09.2018 |
| Abstract: |
Search Engine Optimisation is a challenge for dictionary publishers. As soon as a dictionary appears online, one part of its success will be measured by its web traffic. Central to the volume of web traffic is where it appears on search engine results pages when a user searches for a word. There are many strategies for improving search engine rankings: the one explored here is automatically augmenting dictionary entries with corpus-derived collocates and related words, as identified by the Sketch Engine's word sketches and distributional thesaurus. We took the online version of the Oxford Advanced Learner's Dictionary and augmented a set of entries, to find whether they then saw an increase in web traffic. They did. |