PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

3.94 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (545 utterances, 1,777 words searched).

  1. yeah . MOT · eng_british_Manchester_I/becky02b.cha, line 175 · Becky 2;00
  2. yeah ? MOT · eng_british_Manchester_I/becky02b.cha, line 302 · Becky 2;00
  3. yeah . MOT · eng_british_Manchester_I/becky02b.cha, line 965 · Becky 2;00
  4. yeah . INV · eng_british_Manchester_I/becky02b.cha, line 1137 · Becky 2;00
  5. yeah . MOT · eng_british_Manchester_I/becky02b.cha, line 1590 · Becky 2;00
  6. yeah . MOT · eng_british_Manchester_I/becky02b.cha, line 1743 · Becky 2;00
  7. yeah . INV · eng_british_Manchester_I/becky02b.cha, line 1812 · Becky 2;00
  1. eng_british_Manchester_I/becky02b.cha, line 175 · Becky, 2;0.14
    MOTyou've hurt your chin .
    CHIyeah .
    MOT*MOT: yeah .
    CHIMummy .
    MOTI don't think you hurt it on this, though .
  2. eng_british_Manchester_I/becky02b.cha, line 302 · Becky, 2;0.14
    MOTdo you think he might want to play with them ?
    CHIyeah .
    MOT*MOT: yeah ?
    MOT<who's this> [>] ?
    CHIxxx [<] .
  3. eng_british_Manchester_I/becky02b.cha, line 965 · Becky, 2;0.14
    CHIstrawberry .
    CHIxxx .
    MOT*MOT: yeah .
    MOTwe went strawberry picking yesterday, didn't we ?
    MOTdo you remember that ?
  4. eng_british_Manchester_I/becky02b.cha, line 1137 · Becky, 2;0.14
    INVno idea .
    INVI think so .
    INV*INV: yeah .
    INVprobably .
    MOTno .
  5. eng_british_Manchester_I/becky02b.cha, line 1590 · Becky, 2;0.14
    MOTit's a rabbit .
    CHIyeah .
    MOT*MOT: yeah .
    CHIAndy .
    CHIxxx .
  6. eng_british_Manchester_I/becky02b.cha, line 1743 · Becky, 2;0.14
    MOTare you putting it on for sympathy ?
    CHImmhm .
    MOT*MOT: yeah .
    MOTyou like sympathy, don't you ?
    CHImore [x 2] .
  7. eng_british_Manchester_I/becky02b.cha, line 1812 · Becky, 2;0.14
    MOTdid you say you wanted him to go through the window [>] ?
    CHIyeah [<] .
    INV*INV: yeah .
    MOTwhat xxx .
    MOTthis window ?

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_I3.94
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky02b.chaBecky 2;0.141,777773.94

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. yeah7 · 100.0%