PHPCLANCHILDES with regular expressions

5 matches in 4 utterances

4.12 per 1,000 words of the child (CHI), in 1 of 1 transcripts (307 utterances, 1,215 words searched).

  1. did [/] did you # ever see um # a barn <&hav> [/] havin(g) a wicked witch ? CHI · eng_USA_Brown/sarah113.cha, line 201
  2. two legs have # um # um . CHI · eng_USA_Brown/sarah113.cha, line 525
  3. two legs have # um # um . CHI · eng_USA_Brown/sarah113.cha, line 525
  4. um dis . CHI · eng_USA_Brown/sarah113.cha, line 943
  5. um # how you make a bird ? CHI · eng_USA_Brown/sarah113.cha, line 1216
  1. eng_USA_Brown/sarah113.cha, line 201
    CHIy(ou) see dis is his nose .
    CHIdis is his nose .
    CHI*CHI: did [/] did you # ever see um # a barn <&hav> [/] havin(g) a wicked witch ?
    MELno .
    MOTa what ?
  2. eng_USA_Brown/sarah113.cha, line 525
    CHIdis is for r@l r@l (a)n(d) dis is for p@l .
    MELright .
    CHI*CHI: two legs have # um # um .
    CHI# but d@l-s don't have no legs .
    CHId@l-s don't have no legs .
  3. eng_USA_Brown/sarah113.cha, line 943
    MOTthis is a d@l .
    CHIuhoh # I was wrong .
    CHI*CHI: um dis .
    MOTlet me see you write your name .
    CHIit's a +...
  4. eng_USA_Brown/sarah113.cha, line 1216
    MOTyeah # yeah I would .
    MOTyeah .
    CHI*CHI: um # how you make a bird ?
    CHII never make one .
    CHIthey sleepin(g) .

Matches by child

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

  1. Sarah eng_USA_Brown4.12
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah113.chaSarah 1,215454.12

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. um5 · 100.0%