PHPCLANCHILDES with regular expressions

8 matches in 7 utterances

8.26 per 1,000 words of the child (CHI), in 1 of 1 transcripts (321 utterances, 968 words searched).

  1. have a s:trir [: stir] u(p) de mittser [: mixer] . CHI · eng_USA_Demetras_Trevor/j_mot04.cha, line 299 · Jimmy 2;02
  2. have the party ! CHI · eng_USA_Demetras_Trevor/j_mot04.cha, line 852 · Jimmy 2;02
  3. how (a)bou(t) we can # have # have uh ha:ve # bell hor(n)s . CHI · eng_USA_Demetras_Trevor/j_mot04.cha, line 859 · Jimmy 2;02
  4. how (a)bou(t) we can # have # have uh ha:ve # bell hor(n)s . CHI · eng_USA_Demetras_Trevor/j_mot04.cha, line 859 · Jimmy 2;02
  5. I have these . CHI · eng_USA_Demetras_Trevor/j_mot04.cha, line 1032 · Jimmy 2;02
  6. have a drink it ! CHI · eng_USA_Demetras_Trevor/j_mot04.cha, line 1063 · Jimmy 2;02
  7. have (t)a ring . CHI · eng_USA_Demetras_Trevor/j_mot04.cha, line 1110 · Jimmy 2;02
  8. uh uh I wa(nn)a have ano(th)er cup . CHI · eng_USA_Demetras_Trevor/j_mot04.cha, line 1115 · Jimmy 2;02
  1. MOTwhat can we cook ?
    CHIcookie &c +...
    CHI*CHI: have a s:trir [: stir] u(p) de mittser [: mixer] .
    MOTstir it up !
    CHIheh it's hot .
  2. MOToh, okay .
    MOTstir, stir, stir .
    CHI*CHI: have the party !
    MOTyeah .
    MOTwhat're we gonna do at the party ?
  3. MOTyeah .
    MOTwhat're we gonna do at the party ?
    CHI*CHI: how (a)bou(t) we can # have # have uh ha:ve # bell hor(n)s .
    MOTblow horns ?
    CHIuh huh .
  4. CHI(o)kay .
    CHII get [//] I wa(nt) dis too .
    CHI*CHI: I have these .
    MOTyeah .
    CHII havin(g) these .
  5. CHIuh huh .
    CHIha(v)ing tum [: some] apple juice .
    CHI*CHI: have a drink it !
    MOTokay .
    CHII put some apple juice in .
  6. MOTwhich Mr Davis ?
    CHIring@o a@o ring@o a@o ling@o a@o ling@o a@o ling@o a@o ling@o .
    CHI*CHI: have (t)a ring .
    MOTringin(g) the bell ?
    CHIuh uh I wa(nn)a have ano(th)er cup .
  7. CHIhave (t)a ring .
    MOTringin(g) the bell ?
    CHI*CHI: uh uh I wa(nn)a have ano(th)er cup .
    MOTokay .
    MOTwhoops !

Matches by age

One dot per transcript: matches per 1,000 words of the child (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. Jimmy eng_USA_Demetras_Trevor8.26
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Demetras_Trevor/j_mot04.chaJimmy 2;2.24968788.26

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. have8 · 100.0%