PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

3.33 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (433 utterances, 1,200 words searched).

  1. no juice . MOT · bilingual_eng_french_Genesee/oli13b10b.cha, line 375 · Olivier 1;10
  2. no bonjour ! FAT · bilingual_eng_french_Genesee/oli13b10b.cha, line 668 · Olivier 1;10
  3. no poopoo . MOT · bilingual_eng_french_Genesee/oli13b10b.cha, line 1179 · Olivier 1;10
  4. no, <what are> [/] what are their names ? MOT · bilingual_eng_french_Genesee/oli13b10b.cha, line 1356 · Olivier 1;10
  1. MOTyou want some juice, honey ?
    CHIno no .
    MOT*MOT: no juice .
    CHIopen .
    MOTopen ?
  2. FATest ce que tu dis bonjour ?
    CHIno bonjour .
    FAT*FAT: no bonjour !
    MOThow come ?
    MOT0aux you want some milk ?
  3. MOTdid you make a poopoo, honey ?
    CHIno poopoo .
    MOT*MOT: no poopoo .
    FATOlivier regar [: regarde] !
    FATOlivier regar [: regarde] !
  4. MOTOlivier who are your friends at the day+care ?
    CHIah parti .
    MOT*MOT: no, <what are> [/] what are their names ?
    FATRémi ?
    CHIparti .

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_french_Genesee3.33
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_french_Genesee/oli13b10b.chaOlivier 1;10.051,200443.33

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. no4 · 100.0%