PHPCLANCHILDES with regular expressions

13 matches in 12 utterances

6.26 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (549 utterances, 2,076 words searched).

  1. whose bear was that ? MOT · eng_british_Manchester_II/ruth25a.cha, line 99 · Ruth 2;07
  2. was that big black baby ? MOT · eng_british_Manchester_II/ruth25a.cha, line 126 · Ruth 2;07
  3. it was an accident though , wasn't it ? MOT · eng_british_Manchester_II/ruth25a.cha, line 825 · Ruth 2;07
  4. was it an accident ? MOT · eng_british_Manchester_II/ruth25a.cha, line 835 · Ruth 2;07
  5. what video were you looking at that you thought was brilliant ? MOT · eng_british_Manchester_II/ruth25a.cha, line 1047 · Ruth 2;07
  6. what was the cat's name ? MOT · eng_british_Manchester_II/ruth25a.cha, line 1215 · Ruth 2;07
  7. what was the cat's name ? MOT · eng_british_Manchester_II/ruth25a.cha, line 1221 · Ruth 2;07
  8. it was called Lucifer . MOT · eng_british_Manchester_II/ruth25a.cha, line 1229 · Ruth 2;07
  9. <was he> [/] was he a nice cat ? MOT · eng_british_Manchester_II/ruth25a.cha, line 1233 · Ruth 2;07
  10. <was he> [/] was he a nice cat ? MOT · eng_british_Manchester_II/ruth25a.cha, line 1233 · Ruth 2;07
  11. what was your favorite bit at Eureka ? MOT · eng_british_Manchester_II/ruth25a.cha, line 1410 · Ruth 2;07
  12. he was a bit naughty , wasn't he ? MOT · eng_british_Manchester_II/ruth25a.cha, line 1665 · Ruth 2;07
  13. whose Grandpa was it ? MOT · eng_british_Manchester_II/ruth25a.cha, line 1794 · Ruth 2;07
  1. MOTwho's that ?
    MOTwho's that ?
    MOT*MOT: whose bear was that ?
    MOTwhose bear +/.
    CHIDaddy [*] bear .
  2. MOTis it big black baby ?
    CHIhuh ?
    MOT*MOT: was that big black baby ?
    CHIno .
    CHIlittle black baby .
  3. MOTno .
    MOTthat's not nice .
    MOT*MOT: it was an accident though , wasn't it ?
    CHIwhat ?
    MOTyou didn't mean to do it , did you ?
  4. MOTyou didn't mean to do it , did you ?
    CHIno .
    MOT*MOT: was it an accident ?
    CHIyeah .
    MOToh that's all right .
  5. MOTno .
    MOTand tell Anna what video you got out this weekend ?
    MOT*MOT: what video were you looking at that you thought was brilliant ?
    CHICinderella .
    MOTCinderella .
  6. CHIcat .
    MOTthe cat .
    MOT*MOT: what was the cat's name ?
    MOTdo you remember ?
    CHIwhat ?
  7. MOTdo you remember ?
    CHIwhat ?
    MOT*MOT: what was the cat's name ?
    CHIwhat ?
    MOTdo you remember the cat's name ?
  8. MOTdo you remember the cat's name ?
    CHIyeah .
    MOT*MOT: it was called Lucifer .
    CHIwhat ?
    MOT<was he> [/] was he a nice cat ?
  9. MOTit was called Lucifer .
    CHIwhat ?
    MOT*MOT: <was he> [/] was he a nice cat ?
    CHIno .
    MOThe wasn't at all , no .
  10. MOTwe did .
    MOTwhat did you play with ?
    MOT*MOT: what was your favorite bit at Eureka ?
    MOTwhat's the nicest bit ?
    CHItoys .
  11. CHIno .
    MOThe didn't , didn't he not ?
    MOT*MOT: he was a bit naughty , wasn't he ?
    MOTwe wanted him to , didn't we ?
    CHIyeah .
  12. MOTyeah .
    MOTbut not your Grandpa .
    MOT*MOT: whose Grandpa was it ?
    CHISophie [*] Grandpa .
    MOTSophie's Grandpa .

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. Ruth eng_british_Manchester_II6.26
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/ruth25a.chaRuth 2;7.242,07612136.26

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. was13 · 100.0%