PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

2.91 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (335 utterances, 1,375 words searched).

  1. Auntie Marion has a kitty like that . MOT · eng_USA_Brown/sarah051.cha, line 952 · Sarah 3;03
  2. the Siamese kitty Auntie Marion has . MOT · eng_USA_Brown/sarah051.cha, line 957 · Sarah 3;03
  3. Auntie Marion . MOT · eng_USA_Brown/sarah051.cha, line 965 · Sarah 3;03
  4. <what's> [/] what's Auntie Katz poodle's name ? MOT · eng_USA_Brown/sarah051.cha, line 1043 · Sarah 3;03
  1. CHIhe's mine .
    CHII wan(t) dat cat .
    MOT*MOT: Auntie Marion has a kitty like that .
    MOTwhat's the kitty's name ?
    MOTthe Siamese kitty Auntie Marion has .
  2. MOTAuntie Marion has a kitty like that .
    MOTwhat's the kitty's name ?
    MOT*MOT: the Siamese kitty Auntie Marion has .
    CHIwhat ?
    CHIhim .
  3. CHIwhat ?
    CHIhim .
    MOT*MOT: Auntie Marion .
    CHIshe ha(s) dogs .
    MOTI know she has a dog .
  4. MOTTammy # yeah .
    CHITammy .
    MOT*MOT: <what's> [/] what's Auntie Katz poodle's name ?
    CHIhmm # French .
    MOTwhat's his name ?

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_Brown2.91
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah051.chaSarah 3;3.071,375442.91

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. auntie4 · 100.0%