PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

2.58 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (348 utterances, 1,551 words searched).

  1. Sarah look who's out here . MOT · eng_USA_Brown/sarah052.cha, line 881 · Sarah 3;03
  2. Auntie Elenore # look . MOT · eng_USA_Brown/sarah052.cha, line 885 · Sarah 3;03
  3. look . MOT · eng_USA_Brown/sarah052.cha, line 888 · Sarah 3;03
  4. you look kind o(f) starey eyes there . MOT · eng_USA_Brown/sarah052.cha, line 1258 · Sarah 3;03
  1. eng_USA_Brown/sarah052.cha, line 881 · Sarah, 3;3.07
    CHIaah # tha(t)'s mine .
    KENsays Mr Ears .
    MOT*MOT: Sarah look who's out here .
    CHIwho ?
    MOTAuntie Elenore # look .
  2. eng_USA_Brown/sarah052.cha, line 885 · Sarah, 3;3.07
    MOTSarah look who's out here .
    CHIwho ?
    MOT*MOT: Auntie Elenore # look .
    MOTlook .
    MOTright there .
  3. eng_USA_Brown/sarah052.cha, line 888 · Sarah, 3;3.07
    CHIwho ?
    MOTAuntie Elenore # look .
    MOT*MOT: look .
    MOTright there .
    MOTsee it # Auntie Elenore and Auntie xxx .
  4. eng_USA_Brown/sarah052.cha, line 1258 · Sarah, 3;3.07
    MOTyou'd be a good advertisement for them .
    MOThuh ?
    MOT*MOT: you look kind o(f) starey eyes there .
    MOTwhat's the matter ?
    MOTare ya still tired ?

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_Brown2.58
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah052.chaSarah 3;3.071,551442.58

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. look4 · 100.0%