Separating Homophones

[Topaloglu, Simge]

Thank you so much! You have no idea how helpful this has been for me.

Best regards,
Simge



On Fri, Apr 26, 2019 at 4:29 PM Brian MacWhinney <macw at andrew.cmu.edu>
wrote:

> 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>
> 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 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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