PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

4.06 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (318 utterances, 1,477 words searched).

  1. no # this way . MOT · eng_USA_Brown/sarah094.cha, line 857 · Sarah 4;02
  2. this is an a@l . MOT · eng_USA_Brown/sarah094.cha, line 971 · Sarah 4;02
  3. now over this side . MOT · eng_USA_Brown/sarah094.cha, line 1111 · Sarah 4;02
  4. no go this way . MOT · eng_USA_Brown/sarah094.cha, line 1115 · Sarah 4;02
  5. xxx # what's a matter with this ? FAT · eng_USA_Brown/sarah094.cha, line 1138 · Sarah 4;02
  6. you gonna cut all this out ? MOT · eng_USA_Brown/sarah094.cha, line 1161 · Sarah 4;02
  1. eng_USA_Brown/sarah094.cha, line 857 · Sarah, 4;2.01
    MOTthen that way .
    CHIand down this way .
    MOT*MOT: no # this way .
    MOTle(t) me get a piece of paper .
    CHIthat one's right .
  2. eng_USA_Brown/sarah094.cha, line 971 · Sarah, 4;2.01
    MOToh # Sarah .
    CHIoh # this is no good .
    MOT*MOT: this is an a@l .
    MOTdown # like a tent .
    MOTthen cross it .
  3. eng_USA_Brown/sarah094.cha, line 1111 · Sarah, 4;2.01
    CHIthat a p@l .
    CHIput another +...
    MOT*MOT: now over this side .
    CHInow this side .
    MOTno go this way .
  4. eng_USA_Brown/sarah094.cha, line 1115 · Sarah, 4;2.01
    MOTnow over this side .
    CHInow this side .
    MOT*MOT: no go this way .
    CHIthat's a p@l # I mean that's d@l .
    MOTb@l .
  5. eng_USA_Brown/sarah094.cha, line 1138 · Sarah, 4;2.01
    FATknow how to make an i@l ?
    CHIhunm .
    FAT*FAT: xxx # what's a matter with this ?
    CHIa space .
    MOTa space !
  6. eng_USA_Brown/sarah094.cha, line 1161 · Sarah, 4;2.01
    CHII'm gonna write something # in [?] two [?] .
    CHII'm gonna cut all this out .
    MOT*MOT: you gonna cut all this out ?
    CHIall my abcs out .
    CHII know how to write # do I ?

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_Brown4.06
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah094.chaSarah 4;2.011,477664.06

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. this6 · 100.0%