PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

4.55 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (485 utterances, 1,760 words searched).

  1. want to play Snap ? MOT · eng_british_Manchester_I/becky14a.cha, line 1318 · Becky 2;04
  2. I don't think you've grasped the concept of Snap yet , have you ? MOT · eng_british_Manchester_I/becky14a.cha, line 1338 · Becky 2;04
  3. if they're the same you've got to say snap . MOT · eng_british_Manchester_I/becky14a.cha, line 1361 · Becky 2;04
  4. are you ready to shout Snap if it's the same ? MOT · eng_british_Manchester_I/becky14a.cha, line 1394 · Becky 2;04
  5. it's not Snap , is it ? MOT · eng_british_Manchester_I/becky14a.cha, line 1458 · Becky 2;04
  6. we say Snap . MOT · eng_british_Manchester_I/becky14a.cha, line 1489 · Becky 2;04
  7. shout Snap . MOT · eng_british_Manchester_I/becky14a.cha, line 1495 · Becky 2;04
  8. and shall I put my last card down and see if it's snap ? MOT · eng_british_Manchester_I/becky14a.cha, line 1676 · Becky 2;04
  1. CHIum do now .
    MOTwhat're you going to do now with them ?
    MOT*MOT: want to play Snap ?
    CHImmhm .
    MOTcome on then .
  2. MOTcan you remember how to play ?
    CHImmhm .
    MOT*MOT: I don't think you've grasped the concept of Snap yet , have you ?
    MOTright .
    MOTsit down then .
  3. CHImmhm .
    MOTyou've got to turn one over .
    MOT*MOT: if they're the same you've got to say snap .
    MOTokay ?
    MOTso I'll start .
  4. MOTno .
    MOTdon't put them on top .
    MOT*MOT: are you ready to shout Snap if it's the same ?
    CHIyeah .
    CHIthe same .
  5. CHII said Snap .
    MOTno .
    MOT*MOT: it's not Snap , is it ?
    MOTwho's this ?
    CHIwho's [/] who's that called ?
  6. MOTso what do we say <when we say> [//] when we see two Poppys ?
    CHIdon't Know .
    MOT*MOT: we say Snap .
    CHISnap .
    MOTgo on .
  7. CHISnap .
    MOTgo on .
    MOT*MOT: shout Snap .
    CHISnap .
    MOTthere you are .
  8. MOToh dear .
    MOTbless you .
    MOT*MOT: and shall I put my last card down and see if it's snap ?
    CHIyeah .
    MOTor are you going to put one down ?

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_I4.55
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky14a.chaBecky 2;4.281,760884.55

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. snap8 · 100.0%