PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

1.60 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (310 utterances, 1,250 words searched).

  1. Sarah # how long have you had those ? KEN · eng_USA_Brown/sarah050.cha, line 952 · Sarah 3;02
  2. think we could have a conversation between Bugs and Millisandy ? MOT · eng_USA_Brown/sarah050.cha, line 1014 · Sarah 3;02
  1. eng_USA_Brown/sarah050.cha, line 952 · Sarah, 3;2.23
    CHII took some a +...
    CHIok .
    KEN*KEN: Sarah # how long have you had those ?
    MOTwhere'd you get these ?
    MOThmm ?
  2. eng_USA_Brown/sarah050.cha, line 1014 · Sarah, 3;2.23
    MOToh .
    CHIhey [/] # hey .
    MOT*MOT: think we could have a conversation between Bugs and Millisandy ?
    MOToh # I want Millisandy then .
    MOTSarah .

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_Brown1.60
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah050.chaSarah 3;2.231,250221.60

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. have2 · 100.0%