PHPCLANCHILDES with regular expressions

9 matches in 8 utterances

4.53 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (463 utterances, 1,986 words searched).

  1. see what # there's nothin(g) in there . MOT · eng_USA_Brown/sarah058.cha, line 147 · Sarah 3;04
  2. see what # there's nothin(g) in there . MOT · eng_USA_Brown/sarah058.cha, line 147 · Sarah 3;04
  3. there isn't any . MOT · eng_USA_Brown/sarah058.cha, line 153 · Sarah 3;04
  4. right there . MOT · eng_USA_Brown/sarah058.cha, line 852 · Sarah 3;04
  5. right there # see ? MOT · eng_USA_Brown/sarah058.cha, line 860 · Sarah 3;04
  6. ya got a table right there . MOT · eng_USA_Brown/sarah058.cha, line 1167 · Sarah 3;04
  7. is there anything else ? MOT · eng_USA_Brown/sarah058.cha, line 1369 · Sarah 3;04
  8. that's quite a list there . MOT · eng_USA_Brown/sarah058.cha, line 1513 · Sarah 3;04
  9. there . MOT · eng_USA_Brown/sarah058.cha, line 1525 · Sarah 3;04
  1. CHII want some .
    MOTya can't eat (un)till after Christmas .
    MOT*MOT: see what # there's nothin(g) in there .
    CHII wan(t) fudgesicle .
    MOTthere isn't any .
  2. MOTsee what # there's nothin(g) in there .
    CHII wan(t) fudgesicle .
    MOT*MOT: there isn't any .
    CHII want this +...
    MOTyou can't have +...
  3. MOTyou can never find anything .
    CHIhere ?
    MOT*MOT: right there .
    MOTya got your foot on it .
    MOTis that your new book ?
  4. MOTis that your new book ?
    CHII fin(d) it ?
    MOT*MOT: right there # see ?
    KENoh a new book .
    CHIyeah .
  5. MOTya got a table .
    CHIwant a new one .
    MOT*MOT: ya got a table right there .
    MOTtable and chairs .
    CHIuh # I want # a bath+room kitchen .
  6. MOTwe're makin(g) the list .
    CHIoh .
    MOT*MOT: is there anything else ?
    CHIoh .
    CHII wan(t) some # Penny_Bright ?
  7. CHI(a)n(d) a stove .
    MOTa stove .
    MOT*MOT: that's quite a list there .
    CHI(a)n(d) um # a little sink .
    MOTya got a sink .
  8. MOTyou got a sink ?
    MOTno .
    MOT*MOT: there .
    KENhow about a mink coat ?
    MOTwould you like that ?

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_Brown4.53
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah058.chaSarah 3;4.161,986894.53

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. there9 · 100.0%