PHPCLANCHILDES with regular expressions

12 matches in 10 utterances

7.38 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (375 utterances, 1,625 words searched).

  1. Nana's got Pierre # huh ? MOT · eng_USA_Brown/sarah092.cha, line 126 · Sarah 4;01
  2. no # Nana doesn't got Pierre . ANN · eng_USA_Brown/sarah092.cha, line 128 · Sarah 4;01
  3. where's Pierre ? MOT · eng_USA_Brown/sarah092.cha, line 130 · Sarah 4;01
  4. <Pierre's> [/] # Pierre's <up the house> [//] # at our house . ANN · eng_USA_Brown/sarah092.cha, line 132 · Sarah 4;01
  5. <Pierre's> [/] # Pierre's <up the house> [//] # at our house . ANN · eng_USA_Brown/sarah092.cha, line 132 · Sarah 4;01
  6. oh # I thought you said Nana had Pierre . MOT · eng_USA_Brown/sarah092.cha, line 134 · Sarah 4;01
  7. Pierre # Le Duc . MOT · eng_USA_Brown/sarah092.cha, line 317 · Sarah 4;01
  8. Pierre # not Pierre # Le Duc . ANN · eng_USA_Brown/sarah092.cha, line 320 · Sarah 4;01
  9. Pierre # not Pierre # Le Duc . ANN · eng_USA_Brown/sarah092.cha, line 320 · Sarah 4;01
  10. Pierre # Le Duc . MOT · eng_USA_Brown/sarah092.cha, line 322 · Sarah 4;01
  11. Pierre Le Duc ? ANN · eng_USA_Brown/sarah092.cha, line 326 · Sarah 4;01
  12. Pierre, Le Duc . MOT · eng_USA_Brown/sarah092.cha, line 328 · Sarah 4;01
  1. eng_USA_Brown/sarah092.cha, line 126 · Sarah, 4;1.18
    CHIare you mindin(g) me ?
    CHIyou wanna +...
    MOT*MOT: Nana's got Pierre # huh ?
    ANNno # Nana doesn't got Pierre .
    MOTwhere's Pierre ?
  2. eng_USA_Brown/sarah092.cha, line 128 · Sarah, 4;1.18
    CHIyou wanna +...
    MOTNana's got Pierre # huh ?
    ANN*ANN: no # Nana doesn't got Pierre .
    MOTwhere's Pierre ?
    ANN<Pierre's> [/] # Pierre's <up the house> [//] # at our house .
  3. eng_USA_Brown/sarah092.cha, line 130 · Sarah, 4;1.18
    MOTNana's got Pierre # huh ?
    ANNno # Nana doesn't got Pierre .
    MOT*MOT: where's Pierre ?
    ANN<Pierre's> [/] # Pierre's <up the house> [//] # at our house .
    MOToh # I thought you said Nana had Pierre .
  4. eng_USA_Brown/sarah092.cha, line 132 · Sarah, 4;1.18
    ANNno # Nana doesn't got Pierre .
    MOTwhere's Pierre ?
    ANN*ANN: <Pierre's> [/] # Pierre's <up the house> [//] # at our house .
    MOToh # I thought you said Nana had Pierre .
    ANNcan I do that ?
  5. eng_USA_Brown/sarah092.cha, line 134 · Sarah, 4;1.18
    MOTwhere's Pierre ?
    ANN<Pierre's> [/] # Pierre's <up the house> [//] # at our house .
    MOT*MOT: oh # I thought you said Nana had Pierre .
    ANNcan I do that ?
    ANNyou're supposed to lick em ?
  6. eng_USA_Brown/sarah092.cha, line 317 · Sarah, 4;1.18
    MELa new poodle .
    MOTyeah # she got a poodle the other day .
    MOT*MOT: Pierre # Le Duc .
    ANNPierre # not Pierre # Le Duc .
    MOTPierre # Le Duc .
  7. eng_USA_Brown/sarah092.cha, line 320 · Sarah, 4;1.18
    MOTyeah # she got a poodle the other day .
    MOTPierre # Le Duc .
    ANN*ANN: Pierre # not Pierre # Le Duc .
    MOTPierre # Le Duc .
    MOTthat's his whole name .
  8. eng_USA_Brown/sarah092.cha, line 322 · Sarah, 4;1.18
    MOTPierre # Le Duc .
    ANNPierre # not Pierre # Le Duc .
    MOT*MOT: Pierre # Le Duc .
    MOTthat's his whole name .
    ANNPierre Le Duc ?
  9. eng_USA_Brown/sarah092.cha, line 326 · Sarah, 4;1.18
    MOTPierre # Le Duc .
    MOTthat's his whole name .
    ANN*ANN: Pierre Le Duc ?
    MOTPierre, Le Duc .
    ANNoh .
  10. eng_USA_Brown/sarah092.cha, line 328 · Sarah, 4;1.18
    MOTthat's his whole name .
    ANNPierre Le Duc ?
    MOT*MOT: Pierre, Le Duc .
    ANNoh .
    CHII stick a bead .

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_Brown7.38
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah092.chaSarah 4;1.181,62510127.38

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. pierre12 · 100.0%