PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

3.43 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (465 utterances, 1,749 words searched).

  1. how (a)bout kissin(g) noses ? MOT · eng_USA_Valian/16a.cha, line 194 · 16A 2;05
  2. how are we gonna get it ? INV · eng_USA_Valian/16a.cha, line 344 · 16A 2;05
  3. how (a)bout my arm ? MOT · eng_USA_Valian/16a.cha, line 475 · 16A 2;05
  4. how (a)bout if you do that to me and we'll see +... MOT · eng_USA_Valian/16a.cha, line 610 · 16A 2;05
  5. how come ? MOT · eng_USA_Valian/16a.cha, line 633 · 16A 2;05
  6. how (a)bout we xxx right here, and then you can dump babies on us . MOT · eng_USA_Valian/16a.cha, line 644 · 16A 2;05
  1. INV[- with CHI] quack quack .
    CHIduck .
    MOT*MOT: how (a)bout kissin(g) noses ?
    MOTcan he kiss noses ?
    INVcan you rub his nose ?
  2. CHI+< would you get &e [= filler syllable] elephant ?
    INVI don't know .
    INV*INV: how are we gonna get it ?
    MOTI think he's right here .
    INVoh good .
  3. MOTyeah, there's always people to play with .
    MOTnot on my face please .
    MOT*MOT: how (a)bout my arm ?
    CHIon your arm . [+ V]
    MOTyeah .
  4. MOTlay down ?
    CHIand you and you +...
    MOT*MOT: how (a)bout if you do that to me and we'll see +...
    MOTwhat are you gonna do ?
    MOTshow us what you're gonna do .
  5. MOTyou're gonna dump them on us ?
    CHIyeah [% MOT and inv laugh] .
    MOT*MOT: how come ?
    CHIcause you get over there and you get +...
    INV[- interupts CHI] I don't think there's room .
  6. MOTthere's no room, sweetie [=! laughs] .
    MOTshe's gonna make room .
    MOT*MOT: how (a)bout we xxx right here, and then you can dump babies on us .
    INVare you gonna dump babies on us ?
    MOTlet's see you dump babas [: babys], babies on us .

Matches by age

One dot per transcript: matches per 1,000 words of everyone but CHI. Dots of the same child are joined.

Matches by child

Matches per 1,000 words, all transcripts of each child together, highest first.

  1. 16A eng_USA_Valian3.43
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Valian/16a.cha16A 2;5.101,749663.43

What the pattern matched

1 different forms (lowercased). Useful to see what a pattern really catches: unexpected forms here usually mean the pattern is too broad.

  1. how6 · 100.0%