PHPCLANCHILDES with regular expressions

13 matches in 13 utterances

6.42 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (463 utterances, 2,026 words searched).

  1. what's one of those ? MOT · eng_british_Manchester_II/nic06b.cha, line 54 · Nicole 2;02
  2. and one more makes +... MOT · eng_british_Manchester_II/nic06b.cha, line 230 · Nicole 2;02
  3. one two . MOT · eng_british_Manchester_II/nic06b.cha, line 242 · Nicole 2;02
  4. there's one . MOT · eng_british_Manchester_II/nic06b.cha, line 265 · Nicole 2;02
  5. one . MOT · eng_british_Manchester_II/nic06b.cha, line 277 · Nicole 2;02
  6. one . MOT · eng_british_Manchester_II/nic06b.cha, line 279 · Nicole 2;02
  7. one . MOT · eng_british_Manchester_II/nic06b.cha, line 283 · Nicole 2;02
  8. oh dear I didn't want that one , did I ? MOT · eng_british_Manchester_II/nic06b.cha, line 444 · Nicole 2;02
  9. was it this one ? MOT · eng_british_Manchester_II/nic06b.cha, line 696 · Nicole 2;02
  10. was it that one ? MOT · eng_british_Manchester_II/nic06b.cha, line 700 · Nicole 2;02
  11. was it that one ? MOT · eng_british_Manchester_II/nic06b.cha, line 702 · Nicole 2;02
  12. was it this one ? MOT · eng_british_Manchester_II/nic06b.cha, line 708 · Nicole 2;02
  13. you can have that one it you want . INV · eng_british_Manchester_II/nic06b.cha, line 1328 · Nicole 2;02
  1. MOTwho were we watching having a bath on the telly yesterday ?
    MOTit was a +...
    MOT*MOT: what's one of those ?
    CHIxxx .
    MOTa what ?
  2. CHItwo men .
    MOTtwo men .
    MOT*MOT: and one more makes +...
    CHI++ two .
    MOTwhat follows two ?
  3. MOTthree .
    MOTgood girl .
    MOT*MOT: one two .
    CHIthree .
    MOTthree .
  4. CHIthere .
    CHIthere .
    MOT*MOT: there's one .
    MOTthere's two .
    MOThave you got three ?
  5. CHIagain .
    CHIagain .
    MOT*MOT: one .
    MOTone .
    CHIxxx .
  6. CHIagain .
    MOTone .
    MOT*MOT: one .
    CHIxxx .
    MOTone .
  7. MOTone .
    CHIxxx .
    MOT*MOT: one .
    MOTtwo .
    CHItwo .
  8. MOTand we can have +...
    MOTxxx .
    MOT*MOT: oh dear I didn't want that one , did I ?
    MOTthere we are .
    MOTwe can have +...
  9. CHIno .
    MOTwhich hand did you smack yourself with ?
    MOT*MOT: was it this one ?
    CHIno .
    MOTwas it that one ?
  10. MOTwas it this one ?
    CHIno .
    MOT*MOT: was it that one ?
    MOTwas it that one ?
    MOTwent like that ?
  11. CHIno .
    MOTwas it that one ?
    MOT*MOT: was it that one ?
    MOTwent like that ?
    CHIno .
  12. MOTwent like that ?
    CHIno .
    MOT*MOT: was it this one ?
    CHIno .
    CHIno way .
  13. INVa nice clean page for you .
    CHIthat ?
    INV*INV: you can have that one it you want .
    MOTwhat are you drawing ?
    CHIxxx .

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. Nicole eng_british_Manchester_II6.42
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic06b.chaNicole 2;2.122,02613136.42

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. one13 · 100.0%