PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

3.24 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (385 utterances, 1,236 words searched).

  1. and how many teeth ? MOT · eng_USA_Brown/sarah020.cha, line 939 · Sarah 2;07
  2. one teeth ? MOT · eng_USA_Brown/sarah020.cha, line 943 · Sarah 2;07
  3. you have new tooth [//] # teeth there # where ? MOT · eng_USA_Brown/sarah020.cha, line 1100 · Sarah 2;07
  4. why # I think you are getting a new teeth there . MOT · eng_USA_Brown/sarah020.cha, line 1108 · Sarah 2;07
  1. MOTand how many nose ?
    CHIone nose .
    MOT*MOT: and how many teeth ?
    CHIone teeth .
    MOTone teeth ?
  2. MOTand how many teeth ?
    CHIone teeth .
    MOT*MOT: one teeth ?
    MOThow many hands ?
    CHImore my [?] hand .
  3. CHII new teeth here .
    CHII new teeth here .
    MOT*MOT: you have new tooth [//] # teeth there # where ?
    CHIright here .
    MOTwhere ?
  4. MOTwhere ?
    MOTopen up your mouth big .
    MOT*MOT: why # I think you are getting a new teeth there .
    MOTyeah .
    MOToh+boy !

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_Brown3.24
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah020.chaSarah 2;7.051,236443.24

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. teeth4 · 100.0%