PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

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

  1. one . MOT · bilingual_eng_Genesee/oli23b04m.cha, line 171 · Olivier 2;03
  2. one two three . MOT · bilingual_eng_Genesee/oli23b04m.cha, line 308 · Olivier 2;03
  3. one track mind ! OBS · bilingual_eng_Genesee/oli23b04m.cha, line 328 · Olivier 2;03
  4. this one ? MOT · bilingual_eng_Genesee/oli23b04m.cha, line 332 · Olivier 2;03
  5. we'll put that one there . MOT · bilingual_eng_Genesee/oli23b04m.cha, line 392 · Olivier 2;03
  6. …e] it> [//] # they have different cars trucks and motorcycles on this one . MOT · bilingual_eng_Genesee/oli23b04m.cha, line 394 · Olivier 2;03
  7. who's the one with the red nose ? MOT · bilingual_eng_Genesee/oli23b04m.cha, line 988 · Olivier 2;03
  1. bilingual_eng_Genesee/oli23b04m.cha, line 171 · Olivier, 2;3.20
    MOTlet's count the dwarfs, okay ?
    MOTcount them .
    MOT*MOT: one .
    CHIone deux .
    MOTtwo .
  2. bilingual_eng_Genesee/oli23b04m.cha, line 308 · Olivier, 2;3.20
    MOTcan you count them ?
    CHIno .
    MOT*MOT: one two three .
    MOTare there three firemen ?
    CHIthree .
  3. bilingual_eng_Genesee/oli23b04m.cha, line 328 · Olivier, 2;3.20
    CHIlà l'auto ?
    MOTxxx .
    OBS*OBS: one track mind !
    CHI0.
    MOTthis one ?
  4. bilingual_eng_Genesee/oli23b04m.cha, line 332 · Olivier, 2;3.20
    OBSone track mind !
    CHI0.
    MOT*MOT: this one ?
    CHIno .
    MOTthat's a truck .
  5. bilingual_eng_Genesee/oli23b04m.cha, line 392 · Olivier, 2;3.20
    MOTsee they're all firemen .
    MOThere .
    MOT*MOT: we'll put that one there .
    MOT<cause [: be#cause] it> [//] # they have different cars trucks and motorcycles on this one .
    CHI0.
  6. bilingual_eng_Genesee/oli23b04m.cha, line 394 · Olivier, 2;3.20
    MOThere .
    MOTwe'll put that one there .
    MOT*MOT: <cause [: be#cause] it> [//] # they have different cars trucks and motorcycles on this one .
    CHI0.
    MOTso just put cars and # # motorcycles and +/.
  7. bilingual_eng_Genesee/oli23b04m.cha, line 988 · Olivier, 2;3.20
    MOTwho did you see on tv the other day, Olivier ?
    CHI0.
    MOT*MOT: who's the one with the red nose ?
    MOThuh ?
    CHICuckoo Burra red nose .

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_Genesee4.39
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_Genesee/oli23b04m.chaOlivier 2;3.201,595774.39

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. one7 · 100.0%