Separating Homophones

[Brian MacWhinney]

You can add the +o3 switch, but then you need -t*CHI to exclude the child.

--Brian MacWhinney

> On Apr 26, 2019, at 4:07 PM, Topaloglu, Simge <sit591 at g.harvard.edu> wrote:
> 
> Thank you so much! I have one more question about frequency counts? Is there a way to combine them across different speakers (but not across different files)? Specifically, I would like to find out how many instances of "too" a child gets exposed to in each session, regardless of who produces it (excluding the child himself/herself).
> 
> Sorry about inundating you with questions, and thanks so much for patiently answering them. I can see how exasperating they can sound at times...
> 
> 
> 
> On Thu, Apr 25, 2019 at 9:32 PM Brian MacWhinney <macw at andrew.cmu.edu <mailto:macw at andrew.cmu.edu>> wrote:
> Dear Simge,
> 
> Yes, you can track homophony across part of speech through the %mor line.  For example, the ENG MOR program tags "too" as Result: post|too^adv|too and then POST disambiguates.  So, you can search for either of these on the %mor line.
> 
> -- Brian MacWhinney
> 
>> On Apr 25, 2019, at 8:24 PM, sit591 at g.harvard.edu <mailto:sit591 at g.harvard.edu> wrote:
>> 
>> Hi,
>> 
>> Is there a way to separate homophonous words in CHILDES using CLAN? For example, I am interested in looking at the token frequency of the additive focus particle "too" (e.g., I ate an apple, too) but I don't want it to be intermixed with the "too" that functions as an adverbial (e.g., these shoes are too small for me). How could I differentiate between them?
>> 
>> Thanks,
>> ST
>> 
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