PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

3.74 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (299 utterances, 1,336 words searched).

  1. it gets very lonely . MOT · eng_USA_Brown/sarah070.cha, line 738 · Sarah 3;07
  2. he said thank+you very much . KEN · eng_USA_Brown/sarah070.cha, line 857 · Sarah 3;07
  3. that was very nice . KEN · eng_USA_Brown/sarah070.cha, line 859 · Sarah 3;07
  4. he liked your song very much . KEN · eng_USA_Brown/sarah070.cha, line 865 · Sarah 3;07
  5. xxx didn't taste very good so she only had one . MOT · eng_USA_Brown/sarah070.cha, line 1004 · Sarah 3;07
  1. eng_USA_Brown/sarah070.cha, line 738 · Sarah, 3;7.23
    MOTyou won't get any more pennies for your bank .
    KENwhy don't you come and talk to the tape recorder ?
    MOT*MOT: it gets very lonely .
    CHIum +...
    KENtell him a story .
  2. eng_USA_Brown/sarah070.cha, line 857 · Sarah, 3;7.23
    MOToh # that's really a # good song .
    CHIthat's really a # good song .
    KEN*KEN: he said thank+you very much .
    KENthat was very nice .
    KENhe asked if you could tell a story too ?
  3. eng_USA_Brown/sarah070.cha, line 859 · Sarah, 3;7.23
    CHIthat's really a # good song .
    KENhe said thank+you very much .
    KEN*KEN: that was very nice .
    KENhe asked if you could tell a story too ?
    KENhe liked your song very much .
  4. eng_USA_Brown/sarah070.cha, line 865 · Sarah, 3;7.23
    KENthat was very nice .
    KENhe asked if you could tell a story too ?
    KEN*KEN: he liked your song very much .
    CHIuh # not in there .
    KENoh no .
  5. eng_USA_Brown/sarah070.cha, line 1004 · Sarah, 3;7.23
    MOTthe xxx said dog pretzels .
    MOT(a)n(d) they have the ad on television all the time .
    MOT*MOT: xxx didn't taste very good so she only had one .
    CHII wonder who tip a dish over .
    MOTI don't know .

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_Brown3.74
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah070.chaSarah 3;7.231,336553.74

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. very5 · 100.0%