PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.79 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (441 utterances, 1,792 words searched).

  1. good morning . MOT · eng_USA_Brown/adam04.cha, line 558 · Adam 2;04
  2. good morning . MOT · eng_USA_Brown/adam04.cha, line 560 · Adam 2;04
  3. good morning . MOT · eng_USA_Brown/adam04.cha, line 565 · Adam 2;04
  4. good morning to you . MOT · eng_USA_Brown/adam04.cha, line 600 · Adam 2;04
  5. oh # good morning . FAT · eng_USA_Brown/adam04.cha, line 604 · Adam 2;04
  1. CHIgoo(d) morning .
    CHIgoo(d) morning .
    MOT*MOT: good morning .
    MOTgood morning .
    CHIgood morning .
  2. CHIgoo(d) morning .
    MOTgood morning .
    MOT*MOT: good morning .
    CHIgood morning .
    MOTgood morning .
  3. MOTgood morning .
    CHIgood morning .
    MOT*MOT: good morning .
    MOTI thought you were going to read to Perro .
    CHIhuh ?
  4. CHImorning # Catherine .
    CHImorning .
    MOT*MOT: good morning to you .
    CHIgood morning you # Cromer .
    FAToh # good morning .
  5. MOTgood morning to you .
    CHIgood morning you # Cromer .
    FAT*FAT: oh # good morning .
    CHIhaha .
    MOTwhat are you doing ?

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. Adam eng_USA_Brown2.79
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/adam04.chaAdam 2;4.151,792552.79

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. good5 · 100.0%