PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

6.34 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (387 utterances, 1,261 words searched).

  1. I think the baby lamb was gone last time Caroline was here , Becky . MOT · eng_british_Manchester_I/becky26b.cha, line 15 · Becky 2;08
  2. Becky's got it here . MOT · eng_british_Manchester_I/becky26b.cha, line 28 · Becky 2;08
  3. there's a knot here that's got tooth marks in it . MOT · eng_british_Manchester_I/becky26b.cha, line 77 · Becky 2;08
  4. here you are . MOT · eng_british_Manchester_I/becky26b.cha, line 553 · Becky 2;08
  5. is he in here , Becky , look ? MOT · eng_british_Manchester_I/becky26b.cha, line 575 · Becky 2;08
  6. the gates are here . MOT · eng_british_Manchester_I/becky26b.cha, line 1033 · Becky 2;08
  7. here . MOT · eng_british_Manchester_I/becky26b.cha, line 1387 · Becky 2;08
  8. here's the monkey to play with . MOT · eng_british_Manchester_I/becky26b.cha, line 1389 · Becky 2;08
  1. CHIxxx .
    MOT*MOT: I think the baby lamb was gone last time Caroline was here , Becky .
    CHIoh .
    MOTthere is one baby lamb though , isn't there ?
  2. INVwhere ?
    MOTwell .
    MOT*MOT: Becky's got it here .
    INVoh .
    INVyou've got the baby +/.
  3. MOTno .
    MOTthat knot I mean .
    MOT*MOT: there's a knot here that's got tooth marks in it .
    MOTthere .
    MOThave you been chewing that ?
  4. MOTget [/] get the rest of the engine .
    MOTit's behind you .
    MOT*MOT: here you are .
    MOTyou'll need that on .
    CHIwhat ?
  5. CHIwhat's that ?
    INVI don't know .
    MOT*MOT: is he in here , Becky , look ?
    CHIwhat here ?
    MOTcan't see him .
  6. CHIsome more gates .
    MOTsome more gates ?
    MOT*MOT: the gates are here .
    MOTthey're fences now , look .
    CHIwhy ?
  7. MOToh .
    MOTlook .
    MOT*MOT: here .
    MOThere's the monkey to play with .
    CHIno .
  8. MOTlook .
    MOThere .
    MOT*MOT: here's the monkey to play with .
    CHIno .
    CHIyeah yeah .

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_I6.34
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky26b.chaBecky 2;8.301,261886.34

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. here8 · 100.0%