PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

3.00 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (538 utterances, 2,330 words searched).

  1. put the lion next to the monkey . MOT · eng_british_Manchester_II/warr06a.cha, line 836 · Warren 2;00
  2. put the bull next to the lion . MOT · eng_british_Manchester_II/warr06a.cha, line 1021 · Warren 2;00
  3. the bull's next to the lion . MOT · eng_british_Manchester_II/warr06a.cha, line 1069 · Warren 2;00
  4. are you going to put the donkey next to the pig ? MOT · eng_british_Manchester_II/warr06a.cha, line 1217 · Warren 2;00
  5. shall we put the elephant next to the sheep ? MOT · eng_british_Manchester_II/warr06a.cha, line 1430 · Warren 2;00
  6. shall we put the Mummy cow next to the Daddy one ? MOT · eng_british_Manchester_II/warr06a.cha, line 1502 · Warren 2;00
  7. put the cow next to the bull . MOT · eng_british_Manchester_II/warr06a.cha, line 1505 · Warren 2;00
  1. MOTwhere shall we put the lion ?
    CHIlion and the cow .
    MOT*MOT: put the lion next to the monkey .
    CHImake a horsie .
    MOTand what have you got there ?
  2. MOTisn't he clever .
    MOTa pink bull .
    MOT*MOT: put the bull next to the lion .
    MOTwhat's this you've got out now ?
    CHIpig .
  3. CHIbull .
    MOTbull .
    MOT*MOT: the bull's next to the lion .
    MOTI wonder if that's safe .
    CHIa piggy .
  4. CHIdonkey .
    INVmmhm .
    MOT*MOT: are you going to put the donkey next to the pig ?
    CHIthere .
    MOTwhat are we going to make now ?
  5. CHIthere 0is [*] the elephant .
    CHIxxx .
    MOT*MOT: shall we put the elephant next to the sheep ?
    MOTnow I think we've got enough for one more .
    MOTwe've already done that [/] that one .
  6. CHIWarren kiss .
    CHImmm .
    MOT*MOT: shall we put the Mummy cow next to the Daddy one ?
    MOTput the cow next to the bull .
    MOTthere .
  7. CHImmm .
    MOTshall we put the Mummy cow next to the Daddy one ?
    MOT*MOT: put the cow next to the bull .
    MOTthere .
    MOTnow we might be able to get one more .

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. Warren eng_british_Manchester_II3.00
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/warr06a.chaWarren 2;0.032,330773.00

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. next7 · 100.0%