PHPCLANCHILDES with regular expressions

10 matches in 10 utterances

35.34 per 1,000 words of the child (CHI), in 1 of 1 transcripts (176 utterances, 283 words searched).

  1. MOTyou start off then .
    MOTwhat do you have to say now ?
    CHI*CHI: snap .
    MOTokay .
    MOTyou have to say that .
  2. MOTsnap .
    MOTnext one then .
    CHI*CHI: snap .
    MOTno .
    MOTthey're not the same , are they ?
  3. MOTand you have to say snap .
    MOTready .
    CHI*CHI: snap .
    MOTnot yet no .
    CHIsnap .
  4. CHIsnap .
    MOTnot yet no .
    CHI*CHI: snap .
    MOTnot yet .
    MOTthey've got to be the same , haven't they ?
  5. MOTnot yet .
    MOTthey've got to be the same , haven't they ?
    CHI*CHI: snap .
    CHIsnap .
    MOTyou're playing safe , are you ?
  6. MOTthey've got to be the same , haven't they ?
    CHIsnap .
    CHI*CHI: snap .
    MOTyou're playing safe , are you ?
    MOTthere's bound to be a snap if you keep saying it all the time .
  7. MOTthere's bound to be a snap if you keep saying it all the time .
    MOTworm and a butterfly .
    CHI*CHI: snap .
    MOTso they're a bit different .
    CHIsnap .
  8. CHIsnap .
    MOTso they're a bit different .
    CHI*CHI: snap .
    MOTno .
    CHIaah .
  9. MOTput them down on the pile .
    MOTsee if we can find a snap .
    CHI*CHI: snap .
    MOTno .
    MOTit's got to be the same as this one to say snap .
  10. MOTready .
    MOTladybird .
    CHI*CHI: snap .
    MOTyes .
    MOTokay .

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. John eng_british_Manchester_II35.34
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/john10b.chaJohn 2;2.21283101035.34

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. snap10 · 100.0%