Dear Professor Laurence,
It's me again.
I followed your advice and downloaded TagAnt 2.0.5.
I tagged both the reference and target corpuses. But I didn't find the "simple_word_tag_headword" indexer you mentioned. So I tried first "word" and then "lemma" in the "display information" part as shown in the screen shot below:
After this tagging, I proceeded on with AntConc 3.5.9 and use the 'antbnc_lemmas_ver_004' as reference to lemmatize both the tagged corpuses and aim to generate a key wordlist.
The results I got when tagging "word" is still the same as before, meaning not showing the lemmatized results with "me/my" and "is/are" still shown seperately.
The results when tagging "lemma" is different, for example, there is only "my" in the results and not "I/me" any more. Does this mean I have succeeded? And that "my" is the word that has a higher frequency than "I or me"?
Many thanks again for the help in advance.
PS. I found out yesterday that you're coming to Xian, China for the Advances in Corpus-based Interdisciplinary Research and are the first keynote speaker! Welcome to China in advance and I am actually working on this paper and hopefully my abstract would be accepted and if so, I could be honored to listen to your talk and get some inspiration about corpus-based second language research!
Yan
在2023年4月21日星期五 UTC+8 10:08:23<Laurence Anthony> 写道: