PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

3.12 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (420 utterances, 1,921 words searched).

  1. that's alright . MOT · eng_USA_Brown/sarah060.cha, line 690 · Sarah 3;05
  2. gee # that's very nice # Sarah . KEN · eng_USA_Brown/sarah060.cha, line 726 · Sarah 3;05
  3. oh that # that's right . KEN · eng_USA_Brown/sarah060.cha, line 890 · Sarah 3;05
  4. that's what I need with you around . MOT · eng_USA_Brown/sarah060.cha, line 916 · Sarah 3;05
  5. that's what I need with you around is a pair of ear+muffs . MOT · eng_USA_Brown/sarah060.cha, line 1193 · Sarah 3;05
  6. that's new . KEN · eng_USA_Brown/sarah060.cha, line 1440 · Sarah 3;05
  1. eng_USA_Brown/sarah060.cha, line 690 · Sarah, 3;5.01
    CHIMommy # look at this milk .
    MOTI know it .
    MOT*MOT: that's alright .
    MOTya don't want any more ?
    CHIno .
  2. eng_USA_Brown/sarah060.cha, line 726 · Sarah, 3;5.01
    KENah .
    MOTthis xxx .
    KEN*KEN: gee # that's very nice # Sarah .
    MOTwhy don't ya xxx merry Christmas ?
    CHImerry Christmas .
  3. eng_USA_Brown/sarah060.cha, line 890 · Sarah, 3;5.01
    KENwell I'll use a make+believe telephone and you use that one .
    MOTthey're both make+believe telephones .
    KEN*KEN: oh that # that's right .
    CHII got two .
    MOTok .
  4. eng_USA_Brown/sarah060.cha, line 916 · Sarah, 3;5.01
    KENah .
    CHIuh .
    MOT*MOT: that's what I need with you around .
    MOTI need a pair of ear muffs so I can concentrate <when I'm> [/] # when I'm thinkin(g) about .
    CHIuh .
  5. eng_USA_Brown/sarah060.cha, line 1193 · Sarah, 3;5.01
    MOTnow I'll know where they are when I'm lookin(g) for them .
    CHIthose are ear+muffers [*] .
    MOT*MOT: that's what I need with you around is a pair of ear+muffs .
    MOTI need ear+plugs .
    MOTwhat should you of asked Santa_Claus to bring me .
  6. eng_USA_Brown/sarah060.cha, line 1440 · Sarah, 3;5.01
    CHIsweater and .
    KENyou want a sweater ?
    KEN*KEN: that's new .
    KENhow (a)bout Baby_Bright ?
    CHIBaby_Bwight .

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_Brown3.12
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah060.chaSarah 3;5.011,921663.12

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. that's6 · 100.0%