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<DIV><FONT face=Arial size=2>Ron,<BR><BR>Your DDP seems to be excellent for
"discovering" a large proportion of the vocabulary of a language in a short
period of time. It is also excellent in that it involves native speakers
directly in the discovery process. Your W&D article says, "It would take a
text corpus of a million of words to equal the results in terms of numbers, and
many words are so rare they may not show up in a text corpus." So, you can
produce a large amount of vocabulary items without a corpus. B</FONT><FONT
face=Arial size=2>ut don't you still need a large corpus to generate
collocational and combinatory fields and discover all the senses and uses of
words, for example? Even a dictionary like the Longman Language Activator,
which is organised around semantic domains, is corpus-based - and they indicate
that sometimes the meaning of a word from an analysis of the corpus is different
to what native speakers commonly assume a word means. Other corpus based
dictionaries, such as NODE, also give some examples of this. I am also not
clear how you would discover all the 'dog' metaphors in English you mentioned
which do not include 'dog' in the expression. For example, an expression like
"Go at it tooth and nail." doesn't immediately spring to my mind as a dog
metaphor. What methodology do you use to work this out?</FONT></DIV>
<DIV><FONT face=Arial size=2></FONT> </DIV>
<DIV><FONT face=Arial size=2>John Roberts</FONT></DIV>
<DIV><FONT face=Arial size=2></FONT> </DIV>
<DIV><FONT face=Arial size=2></FONT> </DIV>
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