PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

3.15 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (423 utterances, 1,587 words searched).

  1. what was the little girl's name ya played with yesterday afternoon ? FAT · eng_USA_Brown/sarah075.cha, line 697 · Sarah 3;08
  2. what was Chrissie's name ? MOT · eng_USA_Brown/sarah075.cha, line 706 · Sarah 3;08
  3. well her # what was her brother's name ? FAT · eng_USA_Brown/sarah075.cha, line 713 · Sarah 3;08
  4. <what was his name> [?] ? FAT · eng_USA_Brown/sarah075.cha, line 728 · Sarah 3;08
  5. <what was his name> [?] ? MOT · eng_USA_Brown/sarah075.cha, line 730 · Sarah 3;08
  1. eng_USA_Brown/sarah075.cha, line 697 · Sarah, 3;8.27
    MOTsure .
    MOTxxx .
    FAT*FAT: what was the little girl's name ya played with yesterday afternoon ?
    CHIAunt_Dot's ?
    MOTno .
  2. eng_USA_Brown/sarah075.cha, line 706 · Sarah, 3;8.27
    MOTno .
    CHIwhat ?
    MOT*MOT: what was Chrissie's name ?
    CHIum # dat # Chrissie .
    MOTyeah .
  3. eng_USA_Brown/sarah075.cha, line 713 · Sarah, 3;8.27
    CHIum # dat # Chrissie .
    MOTyeah .
    FAT*FAT: well her # what was her brother's name ?
    CHIshe didn't have any brother .
    FATChrissie had a brother .
  4. eng_USA_Brown/sarah075.cha, line 728 · Sarah, 3;8.27
    MOTthe little boy .
    CHIli(tt)le boy .
    FAT*FAT: <what was his name> [?] ?
    MOT<what was his name> [?] ?
    CHIRobbie [/] # Robbie ?
  5. eng_USA_Brown/sarah075.cha, line 730 · Sarah, 3;8.27
    CHIli(tt)le boy .
    FAT<what was his name> [?] ?
    MOT*MOT: <what was his name> [?] ?
    CHIRobbie [/] # Robbie ?
    MOTuh .

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_Brown3.15
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah075.chaSarah 3;8.271,587553.15

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. name5 · 100.0%