PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

2.58 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (725 utterances, 3,097 words searched).

  1. how's that ? GLO · eng_USA_Brown/eve20.cha, line 734 · Eve 2;03
  2. how's that ? MOT · eng_USA_Brown/eve20.cha, line 1150 · Eve 2;03
  3. how's that ? FAT · eng_USA_Brown/eve20.cha, line 3171 · Eve 2;03
  4. how's that ? MOT · eng_USA_Brown/eve20.cha, line 3205 · Eve 2;03
  5. how's that ? MOT · eng_USA_Brown/eve20.cha, line 3276 · Eve 2;03
  6. how's that one ? MOT · eng_USA_Brown/eve20.cha, line 3327 · Eve 2;03
  7. how's your cheese doing ? MOT · eng_USA_Brown/eve20.cha, line 3624 · Eve 2;03
  8. now how's fat Sara ? MOT · eng_USA_Brown/eve20.cha, line 3841 · Eve 2;03
  1. GLOhere's a little tiny nose .
    GLOand here's a nice smiling little mouth .
    GLO*GLO: how's that ?
    GLOis that a smiling baby or a crying baby ?
    CHIa crying baby .
  2. CHImm: .
    MOTand here's a very pretty little mouth .
    MOT*MOT: how's that ?
    CHIthen I put some milk in here in this cup .
    MOTokay # put some milk in there in this cup .
  3. FAToh, you can't see me ?
    FATshall I come over there ?
    FAT*FAT: how's that ?
    FATyou want to get up in your high chair big girl ?
    CHIyeah .
  4. FATmove what, dear ?
    CHImove my high chair .
    MOT*MOT: how's that ?
    MOTnow what do we need for an eggnog, Eve ?
    CHIa eggie .
  5. MOTshall we put some more milk in ?
    MOTI think a little more would help .
    MOT*MOT: how's that ?
    CHIxxx .
    MOTthat looks all right .
  6. MOThere, pitcher .
    MOTthere it is .
    MOT*MOT: how's that one ?
    MOTpretty good one ?
    MOToh, we forgot your bibbie .
  7. MOTthere, see .
    MOTyou want some more eggnog ?
    MOT*MOT: how's your cheese doing ?
    CHIxxx .
    MOTis that cheese in your mouth ?
  8. MOTokay .
    MOTsay, you've been drinking your eggnog, haven't you .
    MOT*MOT: now how's fat Sara ?
    CHIfine .
    MOTalright .

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. Eve eng_USA_Brown2.58
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/eve20.chaEve 2;3.3,097882.58

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. how's8 · 100.0%