PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

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

  1. how're ya gonna sing that song ? MOT · eng_USA_Brown/sarah129.cha, line 215 · Sarah 4;10
  2. did you make up that song ? GAI · eng_USA_Brown/sarah129.cha, line 375 · Sarah 4;10
  3. Sarah # I don't even know the song . MOT · eng_USA_Brown/sarah129.cha, line 568 · Sarah 4;10
  1. eng_USA_Brown/sarah129.cha, line 215 · Sarah, 4;10.27
    MOThere # get down .
    CHIgiddyup # my pony .
    MOT*MOT: how're ya gonna sing that song ?
    CHIwhat ?
    MOTgiddyup # the pony .
  2. eng_USA_Brown/sarah129.cha, line 375 · Sarah, 4;10.27
    CHIfrom your # ears to your # head . [+ bch]
    MOToh shoot .
    GAI*GAI: did you make up that song ?
    CHIno # but my finger was caught .
    GAIno # but your finger was caught ?
  3. eng_USA_Brown/sarah129.cha, line 568 · Sarah, 4;10.27
    CHIwe can go .
    CHIis it ?
    MOT*MOT: Sarah # I don't even know the song .
    CHIgiddyup my pony (a)n(d) give me for a ride .
    CHI(a)n(d) xxx <&p> [//] .

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_Brown2.56
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah129.chaSarah 4;10.271,172332.56

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. song3 · 100.0%