PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

2.16 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (763 utterances, 2,777 words searched).

  1. huh ? GLO · eng_USA_Brown/sarah063.cha, line 422 · Sarah 3;05
  2. huh ? NEI · eng_USA_Brown/sarah063.cha, line 750 · Sarah 3;05
  3. huh ? GRA · eng_USA_Brown/sarah063.cha, line 765 · Sarah 3;05
  4. huh ? GRA · eng_USA_Brown/sarah063.cha, line 819 · Sarah 3;05
  5. huh ? NEI · eng_USA_Brown/sarah063.cha, line 1153 · Sarah 3;05
  6. you think so # huh ? MOT · eng_USA_Brown/sarah063.cha, line 2124 · Sarah 3;05
  1. GRAlet's see it .
    GLOoh # they're supposed to be on there .
    GLO*GLO: huh ?
    CHIsupposed to be on there .
    GLOcan you build a great big play house ?
  2. GRAshe was soaked .
    GRAwhat was the matter with some coat .
    NEI*NEI: huh ?
    MOTshe had a coat .
    GLOxxx .
  3. NEIwhat coat is this ?
    MOTa new one .
    GRA*GRA: huh ?
    MOTa new one .
    GRAgot a cold ?
  4. GRAwhat're ya doin(g) ?
    GRAbeatin(g) it ?
    GRA*GRA: huh ?
    GRAya goin(g) to beat it ?
    GRAyou have blue eyes today .
  5. CHII found another one .
    MOTxxx .
    NEI*NEI: huh ?
    MOTxxx .
    GRAxxx .
  6. MOTplays with them nice .
    CHIthis is awful hard one .
    MOT*MOT: you think so # huh ?
    GLOwhy is it hard # Sarah ?
    MOThmm ?

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. Sarah eng_USA_Brown2.16
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah063.chaSarah 3;5.202,777662.16

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. huh6 · 100.0%