PHPCLANCHILDES with regular expressions

5 matches in 4 utterances

2.99 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (367 utterances, 1,670 words searched).

  1. …what he said the other day he said where are we gonna [: going to] go we're going to the what . MOT · bilingual_eng_Genesee/oli23b11m.cha, line 812 · Olivier 2;10
  2. we're going to the what # I said where are we going # we're going to the p@… MOT · bilingual_eng_Genesee/oli23b11m.cha, line 814 · Olivier 2;10
  3. we're going to the what # I said where are we going # we're going to the p@l a@l r@l k@l . MOT · bilingual_eng_Genesee/oli23b11m.cha, line 814 · Olivier 2;10
  4. no, we're not going now, honey ? MOT · bilingual_eng_Genesee/oli23b11m.cha, line 1128 · Olivier 2;10
  5. <as soon as> [/] as soon as we're done we'll go to the park and see Daddy . MOT · bilingual_eng_Genesee/oli23b11m.cha, line 1752 · Olivier 2;10
  1. bilingual_eng_Genesee/oli23b11m.cha, line 812 · Olivier, 2;10.29
    MOTto the p@l a@l r@l k@l ?
    CHI0.
    MOT*MOT: that's what he said the other day he said where are we gonna [: going to] go we're going to the what .
    MOTwe're going to the what # I said where are we going # we're going to the p@l a@l r@l k@l .
    OBS0.
  2. bilingual_eng_Genesee/oli23b11m.cha, line 814 · Olivier, 2;10.29
    CHI0.
    MOTthat's what he said the other day he said where are we gonna [: going to] go we're going to the what .
    MOT*MOT: we're going to the what # I said where are we going # we're going to the p@l a@l r@l k@l .
    OBS0.
    OBSthat's great [=! laughs] .
  3. bilingual_eng_Genesee/oli23b11m.cha, line 1128 · Olivier, 2;10.29
    MOTthe water bomb ?
    CHIare we going park ?
    MOT*MOT: no, we're not going now, honey ?
    CHIyyy after ?
    MOTyeah, after .
  4. bilingual_eng_Genesee/oli23b11m.cha, line 1752 · Olivier, 2;10.29
    CHII wanna xxx see you !
    MOThoney, you'll go # right after .
    MOT*MOT: <as soon as> [/] as soon as we're done we'll go to the park and see Daddy .
    CHIyeah ?
    MOTyeah, Elena came to visit you, honey .

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. Olivier bilingual_eng_Genesee2.99
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_Genesee/oli23b11m.chaOlivier 2;10.291,670452.99

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. we're5 · 100.0%