PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

6.45 per 1,000 words of the child (CHI), in 1 of 1 transcripts (254 utterances, 775 words searched).

  1. hmm # what's your name ? CHI · eng_USA_Brown/sarah114.cha, line 45 · Sarah 4;06
  2. now I can remind # write a different &n name . CHI · eng_USA_Brown/sarah114.cha, line 82 · Sarah 4;06
  3. well # what's your name ? CHI · eng_USA_Brown/sarah114.cha, line 989 · Sarah 4;06
  4. your name that's in there # you're talking to . CHI · eng_USA_Brown/sarah114.cha, line 997 · Sarah 4;06
  5. um # your name . CHI · eng_USA_Brown/sarah114.cha, line 1023 · Sarah 4;06
  1. eng_USA_Brown/sarah114.cha, line 45 · Sarah, 4;6.17
    MELgive it a speech .
    MELtell it something .
    CHI*CHI: hmm # what's your name ?
    MELtape recorder .
    CHIalright .
  2. eng_USA_Brown/sarah114.cha, line 82 · Sarah, 4;6.17
    CHIonoke@t . [+ bch]
    MELit's kind o(f) hot .
    CHI*CHI: now I can remind # write a different &n name .
    CHIstobo@c .
    MELstobo@c ?
  3. eng_USA_Brown/sarah114.cha, line 989 · Sarah, 4;6.17
    MELoh # (be)cause you talk so nice .
    CHIoh good .
    CHI*CHI: well # what's your name ?
    MELtape recorder .
    CHInot dat one .
  4. eng_USA_Brown/sarah114.cha, line 997 · Sarah, 4;6.17
    MELtape recorder .
    CHInot dat one .
    CHI*CHI: your name that's in there # you're talking to .
    MELyour name what ?
    CHIinto you're talking to .
  5. eng_USA_Brown/sarah114.cha, line 1023 · Sarah, 4;6.17
    MELwhose name do you want it # to know ?
    MELthat's what it's asking .
    CHI*CHI: um # your name .
    MELWollensak .
    CHIoh .

Matches by age

One dot per transcript: matches per 1,000 words of the child (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_Brown6.45
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah114.chaSarah 4;6.17775556.45

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. name5 · 100.0%