PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

3.13 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (400 utterances, 1,595 words searched).

  1. but I think we have the wrong +/. MOT · bilingual_eng_Genesee/oli23b04m.cha, line 278 · Olivier 2;03
  2. but he # # c'est où l'auto c'est où l'auto ! OBS · bilingual_eng_Genesee/oli23b04m.cha, line 469 · Olivier 2;03
  3. <but what's> [//] # what's # Bruno's Mommy's name ? MOT · bilingual_eng_Genesee/oli23b04m.cha, line 1100 · Olivier 2;03
  4. yeah but how did we get here last night ? MOT · bilingual_eng_Genesee/oli23b04m.cha, line 1359 · Olivier 2;03
  5. not last night but the night before last . MOT · bilingual_eng_Genesee/oli23b04m.cha, line 1399 · Olivier 2;03
  1. bilingual_eng_Genesee/oli23b04m.cha, line 278 · Olivier, 2;3.20
    MOTsee they're climbing up the ladder .
    CHI0.
    MOT*MOT: but I think we have the wrong +/.
    CHIlà le xxx .
    MOThere we go .
  2. bilingual_eng_Genesee/oli23b04m.cha, line 469 · Olivier, 2;3.20
    CHI0.
    OBSso we were telling him that like I'd left the car at my house ?
    OBS*OBS: but he # # c'est où l'auto c'est où l'auto !
    MOToh !
    CHI0.
  3. bilingual_eng_Genesee/oli23b04m.cha, line 1100 · Olivier, 2;3.20
    MOTwell yeah .
    MOTthat's Mommy's Mommy .
    MOT*MOT: <but what's> [//] # what's # Bruno's Mommy's name ?
    CHIBruno .
    MOTno .
  4. bilingual_eng_Genesee/oli23b04m.cha, line 1359 · Olivier, 2;3.20
    MOThow did we get home, sweetheart ?
    CHIon s'en va à la maison .
    MOT*MOT: yeah but how did we get here last night ?
    CHI0.
    MOThuh ?
  5. bilingual_eng_Genesee/oli23b04m.cha, line 1399 · Olivier, 2;3.20
    MOThe worked late .
    MOTand where did Daddy go on Tuesday night ?
    MOT*MOT: not last night but the night before last .
    MOTwhere did Daddy go ?
    MOTwhat does he do when he gets home from work on Tuesday night ?

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_Genesee3.13
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_Genesee/oli23b04m.chaOlivier 2;3.201,595553.13

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. but5 · 100.0%