PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

4.21 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (606 utterances, 1,900 words searched).

  1. don't use this one . MOT · bilingual_eng_french_Genesee/lei23b03b.cha, line 63 · Leila 2;02
  2. this one's for the other stuff . MOT · bilingual_eng_french_Genesee/lei23b03b.cha, line 66 · Leila 2;02
  3. xx # put this in the machine . MOT · bilingual_eng_french_Genesee/lei23b03b.cha, line 70 · Leila 2;02
  4. what else are we going to make with this ? MOT · bilingual_eng_french_Genesee/lei23b03b.cha, line 253 · Leila 2;02
  5. you wanna [: want to] put this in the machine ? MOT · bilingual_eng_french_Genesee/lei23b03b.cha, line 279 · Leila 2;02
  6. put this in the machine . MOT · bilingual_eng_french_Genesee/lei23b03b.cha, line 281 · Leila 2;02
  7. I'm gonna [: going to] put this, Leila . MOT · bilingual_eng_french_Genesee/lei23b03b.cha, line 292 · Leila 2;02
  8. turn the knife this way . MOT · bilingual_eng_french_Genesee/lei23b03b.cha, line 729 · Leila 2;02
  1. MOTça c'est l'autre .
    FATtiens .
    MOT*MOT: don't use this one .
    MOTthis one's for the other stuff .
    CHI0.
  2. FATtiens .
    MOTdon't use this one .
    MOT*MOT: this one's for the other stuff .
    CHI0.
    MOTxx # put this in the machine .
  3. MOTthis one's for the other stuff .
    CHI0.
    MOT*MOT: xx # put this in the machine .
    CHI0.
    MOTtake the red away .
  4. MOThere Leila .
    CHI0.
    MOT*MOT: what else are we going to make with this ?
    FATvoilà .
    CHIyyy cake .
  5. CHI0.
    MOT(o)kay .
    MOT*MOT: you wanna [: want to] put this in the machine ?
    MOTput this in the machine .
    CHI0.
  6. MOT(o)kay .
    MOTyou wanna [: want to] put this in the machine ?
    MOT*MOT: put this in the machine .
    CHI0.
    MOThere .
  7. CHI0.
    MOTwait .
    MOT*MOT: I'm gonna [: going to] put this, Leila .
    MOT0.
    FATxxx .
  8. MOTit's not gonna [: going to] cut .
    CHI0.
    MOT*MOT: turn the knife this way .
    MOTthere .
    MOTnow you push .

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. Leila bilingual_eng_french_Genesee4.21
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_french_Genesee/lei23b03b.chaLeila 2;2.241,900884.21

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. this8 · 100.0%