PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

3.41 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (261 utterances, 1,172 words searched).

  1. and so that +... GAI · eng_USA_Brown/sarah129.cha, line 560 · Sarah 4;10
  2. so you looked back ? MOT · eng_USA_Brown/sarah129.cha, line 632 · Sarah 4;10
  3. so I can figure out these toe shoes . MOT · eng_USA_Brown/sarah129.cha, line 769 · Sarah 4;10
  4. so I can figure out these toe shoes . MOT · eng_USA_Brown/sarah129.cha, line 774 · Sarah 4;10
  1. eng_USA_Brown/sarah129.cha, line 560 · Sarah, 4;10.27
    CHIme # I'm on a pony (a)n(d) (give) me on a ride .
    CHI(a)n(d) so it all together .
    GAI*GAI: and so that +...
    CHIwe can go .
    CHIis it ?
  2. eng_USA_Brown/sarah129.cha, line 632 · Sarah, 4;10.27
    MOTuhoh .
    CHII thought I seen his # ugly lookin(g) face # so I looked back .
    MOT*MOT: so you looked back ?
    CHIyeah .
    MOTChantilly !
  3. eng_USA_Brown/sarah129.cha, line 769 · Sarah, 4;10.27
    MOTno .
    CHIwhy ?
    MOT*MOT: so I can figure out these toe shoes .
    CHIhuh ?
    MOTso I can figure out these toe shoes .
  4. eng_USA_Brown/sarah129.cha, line 774 · Sarah, 4;10.27
    MOTso I can figure out these toe shoes .
    CHIhuh ?
    MOT*MOT: so I can figure out these toe shoes .
    CHIeasy off .
    CHIwater !

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_Brown3.41
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah129.chaSarah 4;10.271,172443.41

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. so4 · 100.0%