PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

9.01 per 1,000 words of the child (CHI), in 1 of 1 transcripts (456 utterances, 999 words searched).

  1. Snap first . CHI · eng_british_Manchester_I/becky14a.cha, line 1324 · Becky 2;04
  2. Snap . CHI · eng_british_Manchester_I/becky14a.cha, line 1326 · Becky 2;04
  3. I said Snap . CHI · eng_british_Manchester_I/becky14a.cha, line 1454 · Becky 2;04
  4. we 0are [*] playing Snap . CHI · eng_british_Manchester_I/becky14a.cha, line 1482 · Becky 2;04
  5. Snap . CHI · eng_british_Manchester_I/becky14a.cha, line 1491 · Becky 2;04
  6. Snap . CHI · eng_british_Manchester_I/becky14a.cha, line 1497 · Becky 2;04
  7. um snap . CHI · eng_british_Manchester_I/becky14a.cha, line 1580 · Becky 2;04
  8. is this snap ? CHI · eng_british_Manchester_I/becky14a.cha, line 1590 · Becky 2;04
  9. <I doing> [/] I 0am [*] doing Snap . CHI · eng_british_Manchester_I/becky14a.cha, line 1609 · Becky 2;04
  1. CHImmhm .
    MOTcome on then .
    CHI*CHI: Snap first .
    CHISnap .
    INVoh .
  2. MOTcome on then .
    CHISnap first .
    CHI*CHI: Snap .
    INVoh .
    MOTshall I shuffle them up for you ?
  3. MOTright .
    MOTare you ready ?
    CHI*CHI: I said Snap .
    MOTno .
    MOTit's not Snap , is it ?
  4. MOTyou don't know ?
    MOTwhat [/] what are we playing , Becky ?
    CHI*CHI: we 0are [*] playing Snap .
    MOTso what do we say <when we say> [//] when we see two Poppys ?
    CHIdon't Know .
  5. CHIdon't Know .
    MOTwe say Snap .
    CHI*CHI: Snap .
    MOTgo on .
    MOTshout Snap .
  6. MOTgo on .
    MOTshout Snap .
    CHI*CHI: Snap .
    MOTthere you are .
    MOTthey're yours now .
  7. MOTyeah but +//.
    MOTso what do we say ?
    CHI*CHI: um snap .
    MOTthat's right .
    MOTgo on then .
  8. MOTtake them all .
    MOTput them underneath .
    CHI*CHI: is this snap ?
    MOTno .
    CHIdo [/] do you gonna [: going to] watch it ?
  9. CHIdown , Sukie .
    CHISukie .
    CHI*CHI: <I doing> [/] I 0am [*] doing Snap .
    CHIthat's the same ?
    MOTno .

Matches by age

One dot per transcript: matches per 1,000 words of the child (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_I9.01
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky14a.chaBecky 2;4.28999999.01

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. snap9 · 100.0%