PHPCLANCHILDES with regular expressions

13 matches in 12 utterances

6.15 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (520 utterances, 2,115 words searched).

  1. does she look like your friend Lucy at play+group ? MOT · eng_british_Manchester_II/nic21b.cha, line 31 · Nicole 2;08
  2. Pingu is a name like um [/] like you have . MOT · eng_british_Manchester_II/nic21b.cha, line 537 · Nicole 2;08
  3. Pingu is a name like um [/] like you have . MOT · eng_british_Manchester_II/nic21b.cha, line 537 · Nicole 2;08
  4. like that . MOT · eng_british_Manchester_II/nic21b.cha, line 712 · Nicole 2;08
  5. let's see if we looks like Mummy's , shall we ? MOT · eng_british_Manchester_II/nic21b.cha, line 774 · Nicole 2;08
  6. and <we want one> [/] we want one like that . MOT · eng_british_Manchester_II/nic21b.cha, line 982 · Nicole 2;08
  7. one like that . MOT · eng_british_Manchester_II/nic21b.cha, line 986 · Nicole 2;08
  8. you've got enough little men like that upstairs anyway . MOT · eng_british_Manchester_II/nic21b.cha, line 1164 · Nicole 2;08
  9. what do elephants like ? MOT · eng_british_Manchester_II/nic21b.cha, line 1376 · Nicole 2;08
  10. elephant like what ? MOT · eng_british_Manchester_II/nic21b.cha, line 1442 · Nicole 2;08
  11. doesn't he like hot+dogs ? MOT · eng_british_Manchester_II/nic21b.cha, line 1483 · Nicole 2;08
  12. do you like tomatos . MOT · eng_british_Manchester_II/nic21b.cha, line 1678 · Nicole 2;08
  13. do you like apple , do you ? MOT · eng_british_Manchester_II/nic21b.cha, line 1697 · Nicole 2;08
  1. eng_british_Manchester_II/nic21b.cha, line 31 · Nicole, 2;8.29
    MOTMorag ?
    CHIyeah .
    MOT*MOT: does she look like your friend Lucy at play+group ?
    CHIyeah .
    MOTdoes she ?
  2. eng_british_Manchester_II/nic21b.cha, line 537 · Nicole, 2;8.29
    MOTpenguin +//.
    MOTno .
    MOT*MOT: Pingu is a name like um [/] like you have .
    MOTyour [/] your name is Nicole .
    MOTPingu is a name .
  3. eng_british_Manchester_II/nic21b.cha, line 712 · Nicole, 2;8.29
    MOTand we want # the long yellow piece .
    MOTdon't we ?
    MOT*MOT: like that .
    MOTI think .
    CHIxxx .
  4. eng_british_Manchester_II/nic21b.cha, line 774 · Nicole, 2;8.29
    CHIan elephant .
    MOTwww .
    MOT*MOT: let's see if we looks like Mummy's , shall we ?
    CHIxxx .
    MOToh .
  5. eng_british_Manchester_II/nic21b.cha, line 982 · Nicole, 2;8.29
    MOTthat's it .
    MOTright .
    MOT*MOT: and <we want one> [/] we want one like that .
    MOTxxx too high .
    MOTone like that .
  6. eng_british_Manchester_II/nic21b.cha, line 986 · Nicole, 2;8.29
    MOTand <we want one> [/] we want one like that .
    MOTxxx too high .
    MOT*MOT: one like that .
    MOTthere we go .
    CHIDaddy_Daddy .
  7. eng_british_Manchester_II/nic21b.cha, line 1164 · Nicole, 2;8.29
    MOTno .
    MOTyou can't borrow them because other children have to play with them .
    MOT*MOT: you've got enough little men like that upstairs anyway .
    CHIxxx upstairs .
    MOTyou are a one , aren't you ?
  8. eng_british_Manchester_II/nic21b.cha, line 1376 · Nicole, 2;8.29
    MOToh .
    MOTthere .
    MOT*MOT: what do elephants like ?
    CHIbanana .
    MOTbananas .
  9. eng_british_Manchester_II/nic21b.cha, line 1442 · Nicole, 2;8.29
    CHIelephant like .
    CHIelephant like .
    MOT*MOT: elephant like what ?
    CHIwhoops .
    CHIwhere boat here ?
  10. eng_british_Manchester_II/nic21b.cha, line 1483 · Nicole, 2;8.29
    CHIno .
    MOTno ?
    MOT*MOT: doesn't he like hot+dogs ?
    CHIno .
    MOTno .
  11. eng_british_Manchester_II/nic21b.cha, line 1678 · Nicole, 2;8.29
    MOTit's alright .
    MOTjust pretend .
    MOT*MOT: do you like tomatos .
    CHIyeah .
    CHIdid [*] .
  12. eng_british_Manchester_II/nic21b.cha, line 1697 · Nicole, 2;8.29
    CHII like apple .
    CHIxxx .
    MOT*MOT: do you like apple , do you ?
    MOTdo you want an apple ?
    CHIyeah please .

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_II6.15
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic21b.chaNicole 2;8.292,11512136.15

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. like13 · 100.0%