PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

1.78 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (350 utterances, 1,690 words searched).

  1. apporte ! 975302_976372 MOT · french/lyon_tim42a.cha, line 1411 · Tim 2;10
  2. apporte là . MOT · french/lyon_tim42a.cha, line 1417 · Tim 2;10
  3. apporte là dans ta chambre . 991252_993715 MOT · french/lyon_tim42a.cha, line 1439 · Tim 2;10
  1. CHI<elle est> [/] elle est ‹ici (.)› la caisse+à+outils . 969227_972537
    CHIelle est là . 972537_975302
    MOT*MOT: apporte ! 975302_976372
    CHI<elle est> [/] elle est là ! 976372_978155
    MOTapporte là .
  2. MOTapporte ! 975302_976372
    CHI<elle est> [/] elle est là ! 976372_978155
    MOT*MOT: apporte là .
    CHIje l'ai trouvé . 978155_979548
    CHIça y est ! 979548_981668
  3. CHIoui . 988717_990225
    CHIoui . 990225_991252
    MOT*MOT: apporte là dans ta chambre . 991252_993715
    MOTon va réparer .
    MOTallez . 993715_999927

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. Tim french1.78
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_tim42a.chaTim 2;10.121,690331.78

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. apporte3 · 100.0%