PHPCLANCHILDES with regular expressions

13 matches in 13 utterances

5.47 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (651 utterances, 2,378 words searched).

  1. MOTwhat've you done with those ?
    CHIwhat did you do ?
    MOT*MOT: well .
    MOTI'm asking you what you've done .
    CHIwhat did I do ?
  2. CHIum .
    CHIthat way and that way .
    MOT*MOT: well .
    MOTwhere's your map ?
    CHIhere .
  3. CHI<I'm eating it> [<] .
    MOTyou're eating the map ?
    MOT*MOT: well .
    MOTwe willn't know the way if you eat the map ,, will we ?
    CHIthat way .
  4. MOTyellow ?
    MOTokay .
    MOT*MOT: well .
    MOTI have to get ready then ,, don't I ?
    MOThave I got to get ready to stop or have I got to get ready to go ?
  5. CHIno .
    CHIdoll .
    MOT*MOT: well .
    MOTthe only song <Miss_Polly> [//] she knows about a dolly is Miss_Polly .
    CHIMiss_Polly .
  6. CHIno .
    CHIdolly .
    MOT*MOT: well .
    MOTthat's her dolly song .
    MOTthat's a funny song .
  7. CHImy Mummy .
    MOTyou want your Mummy ?
    MOT*MOT: well .
    MOTI think your Mummy is one of the +//.
    MOTwe had a debate last time about your Mummy ,, didn't we ?
  8. MOTwe had a debate last time about your Mummy ,, didn't we ?
    CHImy Mummy .
    MOT*MOT: well .
    MOTher mummy +//.
    MOTthis one's Mummy's either the goat or one of these sheep .
  9. MOTum I don't think he's white , really .
    CHIreally .
    MOT*MOT: well .
    MOTI'd call him grey .
    CHIgrey ?
  10. MOTafter we had chips and sausages for your dinner ?
    CHIyeah .
    MOT*MOT: well .
    MOThave a sandwich in a bit .
    CHIno .
  11. CHII doing +//.
    CHII need a big pencil .
    MOT*MOT: well .
    MOTwe use these ones in here because they [/] they're not likely to get on the floor then .
    CHII lots .
  12. MOToh +/.
    CHIkitten and a puppy+dog ?
    MOT*MOT: well .
    MOTI think that's the kitten there ,, isn't it ?
    CHIand a puppy dog .
  13. CHIred .
    CHIbrown .
    MOT*MOT: well .
    MOTit is .
    MOTyou're right .

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. Anne eng_british_Manchester_I5.47
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/anne30b.chaAnne 2;7.292,37813135.47

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. well13 · 100.0%