PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

3.73 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (603 utterances, 2,143 words searched).

  1. again . MOT · eng_british_Manchester_I/becky09b.cha, line 473 · Becky 2;02
  2. it needs mending again , does it ? MOT · eng_british_Manchester_I/becky09b.cha, line 787 · Becky 2;02
  3. he wants to crash again ? MOT · eng_british_Manchester_I/becky09b.cha, line 797 · Becky 2;02
  4. mend it again ? MOT · eng_british_Manchester_I/becky09b.cha, line 838 · Becky 2;02
  5. crash again ? MOT · eng_british_Manchester_I/becky09b.cha, line 999 · Becky 2;02
  6. there's the lion again . MOT · eng_british_Manchester_I/becky09b.cha, line 1103 · Becky 2;02
  7. I'll get it on and it willn't come off again . MOT · eng_british_Manchester_I/becky09b.cha, line 1920 · Becky 2;02
  8. again . MOT · eng_british_Manchester_I/becky09b.cha, line 2036 · Becky 2;02
  1. MOTthat's a piece of peach .
    CHIagain .
    MOT*MOT: again .
    MOTwww .
    CHII 0have [*] done a poo .
  2. MOTwww .
    CHImore .
    MOT*MOT: it needs mending again , does it ?
    CHIyeah .
    CHIxxx .
  3. MOTthere you are .
    CHIcrash again .
    MOT*MOT: he wants to crash again ?
    MOTif he crashes too many times it [/] I willn't be able to mend it .
    CHIcrash now .
  4. MOTpardon ?
    CHImend it again .
    MOT*MOT: mend it again ?
    CHIyeah .
    MOTis he mending it himself ?
  5. MOTthere you are .
    CHIcrash again .
    MOT*MOT: crash again ?
    CHIyeah .
    MOTdo you think he needs his trousers on to go out first ?
  6. MOTthat's a lion .
    CHIthat 0is [*] a tiger .
    MOT*MOT: there's the lion again .
    MOTcan you tell us what the lion says ?
    CHIgrrr@o .
  7. MOTI might get that one on .
    MOToh .
    MOT*MOT: I'll get it on and it willn't come off again .
    MOTno .
    MOTthat one willn't fit either .
  8. CHIred one .
    CHIxxx .
    MOT*MOT: again .
    CHIthe orange one .
    MOTyou put the orange one on .

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. Becky eng_british_Manchester_I3.73
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky09b.chaBecky 2;2.302,143883.73

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. again8 · 100.0%