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Thematisch bedrijfseconomisch woordenboek (verklarend en vertalend) ; er wordt gewerkt met clusters rond grote themata die alfabetisch gerangschikt zijn zoals : achat - action - performance - rentabilit - industrie - inflation enz.

Affaires --- Economie en handel --- Franse taal --- woordenboeken. --- handelstaal --- leermiddelen. --- taalgebruik in het bedrijfsleven --- French language --- Business economics --- Didactics of French --- Mass communications --- Franse taal ; woordenboeken --- Franse taal ; handel --- Handelscorrespondentie ; Franse taal --- Woordenboeken. --- Handelstaal --- Leermiddelen. --- Taalgebruik in het bedrijfsleven --- 801.3 --- 804.0-086 --- 03 =40 --- 804.0 (03) --- #KVHA:Economie. Woordenboeken. Frans --- #KVHA:Economie. Woordenboeken. Meertalige --- #KVHA:Financiewezen. Woordenboeken. Frans --- #KVHA:Financiewezen. Woordenboeken. Meertalige --- taal --- taalwoordenboeken --- 374.5 --- Frans --- woordenboeken --- zakelijke communicatie --- (038)65 --- 65 --- Duits --- Engels --- Italiaans --- Nederlands --- Spaans --- bedrijfscommunicatie (zakelijke communicatie) --- meertalige woordenboeken --- spraakkunst (grammatica) --- uitdrukkingen --- uitspraak --- vakwoordenboeken --- verklarende woordenboeken --- Frans, andere woordenboeken --- 330 )* ECONOMIE --- 804.3 ) * FRANSE WOORDENBOEKEN --- Engelse taalkunde --- economie --- handel --- onderneming --- technische woordenboeken --- E00230.jpg --- Handelstermen ; Franse taal --- 804.0-086 Frans: slang; jeugdtaal; vaktaal --- Frans: slang; jeugdtaal; vaktaal --- 801.3 Lexicografie. Woordenboeken --- Lexicografie. Woordenboeken --- 804.0 (03) Frans. Franse taalkunde--Naslagwerken. Referentiewerken --- Frans. Franse taalkunde--Naslagwerken. Referentiewerken --- 03 =40 Encyclopedieën. Naslagwerken--(Algemene)--Frans --- Encyclopedieën. Naslagwerken--(Algemene)--Frans --- Franse zakelijke communicatie --- Woordenboeken Telecommunicatie. Drukkerij. Transport. Accountancy. Bedrijfskunde. PR --- Woordenboeken --- Communicatie --- Economie --- Zakelijke communicatie --- Woordenboek --- Schrijven --- Tekst --- Vocabulaire --- Affaires - Dictionnaires francais --- Affaires - Dictionnaires polyglottes --- Français

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Collocations are omnipresent in every language but usually cannot be translated word by word into other languages, which is why it is interesting to extract and study this linguistic phenomenon. This master’s thesis compares two software tools used for collocation analysis, namely Antconc and WordSmith Tools. The tools are compared on results, possibilities as well as user-friendliness in extracting collocations. To compare the two, an empirical analysis was done using a corpus of corporate documents from Belgium’s largest contact center, IPG Group. The corpus was divided into a large subcorpus with general weekly reports and a small subcorpus with meeting notes to see if the dimension of a corpus has an effect on the results when Antconc or WordSmith Tools is used. Both subcorpora were then analyzed using two or three association measures. Evert (2007) recommends to combine Mutual Information, T-Score and Log Likelihood Ratio to come to the most accurate results but Antconc only offers MI and T-Score as possible association measures. This is why the documents were only analyzed with an additional LLR measure in WordSmith Tools.The results of the analysis are very similar but they can never be exactly the same because of differences in how the tools use the association measures and the way they define words. We found that WordSmith Tools tends to compute an overall lower co-frequency and thus a lower degree of association. It also appeared that WordSmith found more noun combinations, especially using MI. These collocations have a stronger degree of association and are intuitively stronger than the collocations that were found when Antconc was used. Both subcorpora showed the same tendencies but it appeared that in the smaller corpus the difference between Antconc and WordSmith was even more distinct. Co-frequencies and degrees of association in WordSmith were sometimes even too low to be considered for the research and WordSmith found even more different collocations than Antconc.The most important difference in possibilities is that Antconc only has two association measures while WordSmith has six measures. Laurence states on his website that his team is working on importing more association measures in future versions of Antconc. The most important downside of WordSmith Tools is that the tool costs a lot more, as Antconc is a freeware program. Some smaller differences are that WordSmith offers more possibilities to rank the results and extra settings such as the possibility to set boundaries in which the collocation has to be found. For user-friendliness it depends on whether you are a beginner or an advanced user. Beginners will prefer Antconc because its interface is very easy. Advanced users will prefer WordSmith because it has more options. Furthermore, both tools offer multiple help-functions such as a written guide and video tutorials. A last element to take into consideration is that Antconc is fast if you use small corpora while WordSmith analyzes large corpora a lot quicker. In conclusion we can state that the choice between Antconc and WordSmith largely depends on the research in question. If the researcher does not have a (large) budget or if the research is not very extensive, Antconc will be a good choice. If a lot of options are needed, WordSmith will be the better choice. The most important advantage of WordSmith is the possibility to use more association measures. If Laurence succeeds in adding new association measures to Antconc, the distinction between both tools will thus become very small.

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