PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

3.48 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (315 utterances, 1,149 words searched).

  1. I guess we will . MOT · eng_USA_Brown/sarah028.cha, line 293 · Sarah 2;09
  2. I don't know # Joann I guess . MOT · eng_USA_Brown/sarah028.cha, line 534 · Sarah 2;09
  3. you guess so # huh . MOT · eng_USA_Brown/sarah028.cha, line 629 · Sarah 2;09
  4. I guess so . MOT · eng_USA_Brown/sarah028.cha, line 1004 · Sarah 2;09
  1. eng_USA_Brown/sarah028.cha, line 293 · Sarah, 2;9.06
    MOTwe'll have to call up Auntie_Marilyn and get this straight # huh .
    CHImmhm .
    MOT*MOT: I guess we will .
    CHIyeah .
    CHIwhoop !
  2. eng_USA_Brown/sarah028.cha, line 534 · Sarah, 2;9.06
    MOThmm ?
    CHIwho did that ?
    MOT*MOT: I don't know # Joann I guess .
    CHIJoann ?
    MOTum .
  3. eng_USA_Brown/sarah028.cha, line 629 · Sarah, 2;9.06
    CHILassie .
    CHIyep # Lassie .
    MOT*MOT: you guess so # huh .
    CHII write # two pencils .
    CHIwrite xxx .
  4. eng_USA_Brown/sarah028.cha, line 1004 · Sarah, 2;9.06
    MOThe what ?
    CHIhe xxx # huh .
    MOT*MOT: I guess so .
    MOTI don't know what that was .
    CHIxxx new one .

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. Sarah eng_USA_Brown3.48
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah028.chaSarah 2;9.061,149443.48

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. guess4 · 100.0%