Abstract

<p align="LEFT">Lemma lacunas in dictionaries are a traditional focus area for lexicographers, but the opposite problem, which we choose to call <strong>lemma flooding</strong>, has received very little attention. The study of this flooding could be relevant in order to save lexicographers spending thousands of hours producing dictionary entries which nobody reads.</p><p align="LEFT">In Bergenholtz/Norddahl (2012) we showed that during a three-year period less than 33% of all dictionary articles out of 18 million dictionary consultations were consulted in a dictionary with 111,000 entries. We examined nine possible reasons why a given word might not be of interest to users and consequently could be ignored in order to avoid lemma flooding. We tried to demonstrate that while it is not possible to completely avoid lemma fl ooding, implementing a relatively simple rule could minimize it. But in reality the results were quite disappointing, because there were no clear rules or methods to avoid lemma fl ooding.</p><p align="LEFT">Now we will try the same kind of analysis of log files for the English-Danish and the Danish-English Accounting Dictionaries. We see here that there are differences between different dictionaries (monolingual for English and Danish and bilingual for English-Danish and Danish-English). We will try to give some explanations, but must admit beforehand that we have not found satisfying explanations which could lead to a plan for future accounting dictionaries or other economic dictionaries thus avoiding the production of never used dictionary articles.</p>

Highlights

  • If dictionary users look up a word in a dictionary and very rarely find what they are looking for, they might stop using the dictionary

  • We have looked in the log files of the English Accounting Dictionary, the Danish Accounting Dictionary, the English-Danish Accounting Dictionary and the Danish-English Accounting Dictionary at Ordbogen.com

  • In the article of Den Danske Netordbog we did not include the total number of look-ups and it is not included in the lists below

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Summary

Introduction

If dictionary users look up a word in a dictionary and very rarely find what they are looking for, they might stop using the dictionary. The results of Bergenholtz/Norddahl (2012) are disappointing without any really good rules to avoid lemma flooding Both studies focus on general language dictionaries. In this article we will focus on specialized accounting dictionaries to search for a pattern and see how big the lemma flooding problem is compared to general language dictionaries. 8. Words from specialized fields In a general language dictionary the user might not expect to be able to find lemmas from a specialized field and will go directly to a more relevant dictionary. Words from specialized fields In a general language dictionary the user might not expect to be able to find lemmas from a specialized field and will go directly to a more relevant dictionary That there might be a difference between monolingual and bilingual dictionaries

Results
Conclusion
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