PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

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

  1. I don't know whether they still do or not . MOT · eng_USA_Brown/sarah058.cha, line 1046 · Sarah 3;04
  2. what about Candy_Fashions or Nancy_Nurse ? MOT · eng_USA_Brown/sarah058.cha, line 1381 · Sarah 3;04
  3. or # um # Bonnie_Bright ? MOT · eng_USA_Brown/sarah058.cha, line 1384 · Sarah 3;04
  4. Bonnie_Bride # Candy_Fashion or Nancy [/] # Nancy_Nurse . MOT · eng_USA_Brown/sarah058.cha, line 1408 · Sarah 3;04
  5. or do ya want an apartment all to yourself . MOT · eng_USA_Brown/sarah058.cha, line 1564 · Sarah 3;04
  1. KENdo they read letters over the radio here ?
    MOTthey used to .
    MOT*MOT: I don't know whether they still do or not .
    KENI remember when I was a kid they used to do that .
    MOTyeah .
  2. CHII mean +...
    CHIuh .
    MOT*MOT: what about Candy_Fashions or Nancy_Nurse ?
    MOTor # um # Bonnie_Bright ?
    CHIBonnie_Bright (a)n(d) Na(n)cy +...
  3. CHIuh .
    MOTwhat about Candy_Fashions or Nancy_Nurse ?
    MOT*MOT: or # um # Bonnie_Bright ?
    CHIBonnie_Bright (a)n(d) Na(n)cy +...
    MOTwell <you can> [/] # <you can> [/] # you can only have one out o(f) those three .
  4. MOTno # Bonnie_Bride .
    MOTthat's it .
    MOT*MOT: Bonnie_Bride # Candy_Fashion or Nancy [/] # Nancy_Nurse .
    CHINancy_Nurse .
    MOTwhich one ?
  5. MOT(a)n(d) a bath+room kitchen .
    MOTdon't ya think that about covers it ?
    MOT*MOT: or do ya want an apartment all to yourself .
    MOThuh ?
    CHIa monkey .

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_Brown2.52
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah058.chaSarah 3;4.161,986552.52

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.

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