PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

5.84 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (151 utterances, 514 words searched).

  1. ok let's count these . FAT · eng_USA_Demetras_Trevor/j_fat11.cha, line 189 · Jimmy 2;07
  2. can we count these ? FAT · eng_USA_Demetras_Trevor/j_fat11.cha, line 199 · Jimmy 2;07
  3. why don't you play with these ? FAT · eng_USA_Demetras_Trevor/j_fat11.cha, line 261 · Jimmy 2;07
  1. eng_USA_Demetras_Trevor/j_fat11.cha, line 189 · Jimmy, 2;7.04
    CHIwhy .
    FATcause .
    FAT*FAT: ok let's count these .
    FATcome (h)ere .
    CHIno .
  2. eng_USA_Demetras_Trevor/j_fat11.cha, line 199 · Jimmy, 2;7.04
    CHII don('t) wanna fix .
    FATcome on .
    FAT*FAT: can we count these ?
    CHIno .
    CHIlemme take these away fro(m) you an(d) I'm gonna +...
  3. eng_USA_Demetras_Trevor/j_fat11.cha, line 261 · Jimmy, 2;7.04
    CHIyou wanna play wis [: with] this ?
    FATlet's see .
    FAT*FAT: why don't you play with these ?
    CHIwa(nt) too .
    CHII wa(nt) to .

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. Jimmy eng_USA_Demetras_Trevor5.84
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Demetras_Trevor/j_fat11.chaJimmy 2;7.04514335.84

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. these3 · 100.0%