PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

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

  1. and how many dwarfs ? MOT · bilingual_eng_Genesee/oli23b04m.cha, line 106 · Olivier 2;03
  2. do you know how many dwarfs there are ? MOT · bilingual_eng_Genesee/oli23b04m.cha, line 108 · Olivier 2;03
  3. let's look at the dwarfs . MOT · bilingual_eng_Genesee/oli23b04m.cha, line 154 · Olivier 2;03
  4. how many dwarfs are there ? MOT · bilingual_eng_Genesee/oli23b04m.cha, line 158 · Olivier 2;03
  5. do you want to count the dwarfs ? MOT · bilingual_eng_Genesee/oli23b04m.cha, line 162 · Olivier 2;03
  6. let's count the dwarfs, okay ? MOT · bilingual_eng_Genesee/oli23b04m.cha, line 167 · Olivier 2;03
  1. bilingual_eng_Genesee/oli23b04m.cha, line 106 · Olivier, 2;3.20
    MOT<Snow White> [>] .
    CHI<Blanche Neige> [<] .
    MOT*MOT: and how many dwarfs ?
    MOTdo you know how many dwarfs there are ?
    CHIje vais montrer à Papa .
  2. bilingual_eng_Genesee/oli23b04m.cha, line 108 · Olivier, 2;3.20
    CHI<Blanche Neige> [<] .
    MOTand how many dwarfs ?
    MOT*MOT: do you know how many dwarfs there are ?
    CHIje vais montrer à Papa .
    OBS0.
  3. bilingual_eng_Genesee/oli23b04m.cha, line 154 · Olivier, 2;3.20
    OBSwow !
    MOTcome here .
    MOT*MOT: let's look at the dwarfs .
    MOThuh ?
    MOThow many dwarfs are there ?
  4. bilingual_eng_Genesee/oli23b04m.cha, line 158 · Olivier, 2;3.20
    MOTlet's look at the dwarfs .
    MOThuh ?
    MOT*MOT: how many dwarfs are there ?
    CHI0.
    MOTdo you want to count the dwarfs ?
  5. bilingual_eng_Genesee/oli23b04m.cha, line 162 · Olivier, 2;3.20
    MOThow many dwarfs are there ?
    CHI0.
    MOT*MOT: do you want to count the dwarfs ?
    CHIoui .
    MOTlet's count the dwarfs, okay ?
  6. bilingual_eng_Genesee/oli23b04m.cha, line 167 · Olivier, 2;3.20
    MOTdo you want to count the dwarfs ?
    CHIoui .
    MOT*MOT: let's count the dwarfs, okay ?
    MOTcount them .
    MOTone .

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_Genesee3.76
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_Genesee/oli23b04m.chaOlivier 2;3.201,595663.76

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. dwarfs6 · 100.0%