PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

5.18 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (343 utterances, 1,158 words searched).

  1. are these the people behind the train ? MOT · eng_british_Manchester_I/becky32a.cha, line 867 · Becky 2;11
  2. we can use these because I've got a pen , look . INV · eng_british_Manchester_I/becky32a.cha, line 1193 · Becky 2;11
  3. we can use these . INV · eng_british_Manchester_I/becky32a.cha, line 1202 · Becky 2;11
  4. should've stuck these on there first . MOT · eng_british_Manchester_I/becky32a.cha, line 1437 · Becky 2;11
  5. see if you can get these on there . MOT · eng_british_Manchester_I/becky32a.cha, line 1441 · Becky 2;11
  6. these look like two trains . MOT · eng_british_Manchester_I/becky32a.cha, line 1498 · Becky 2;11
  1. eng_british_Manchester_I/becky32a.cha, line 867 · Becky, 2;11.01
    MOTthat's all .
    CHIxxx .
    MOT*MOT: are these the people behind the train ?
    MOTyou've lost some , Becky .
    CHIyeah .
  2. eng_british_Manchester_I/becky32a.cha, line 1193 · Becky, 2;11.01
    MOTdon't cry , darling .
    MOTit's not worth crying about .
    INV*INV: we can use these because I've got a pen , look .
    INVBecky .
    CHIwhat ?
  3. eng_british_Manchester_I/becky32a.cha, line 1202 · Becky, 2;11.01
    CHIwhat ?
    INVI've got a pen , look .
    INV*INV: we can use these .
    INVand we can use this to lean on .
    CHIno .
  4. eng_british_Manchester_I/becky32a.cha, line 1437 · Becky, 2;11.01
    CHIoh there .
    CHIxxx .
    MOT*MOT: should've stuck these on there first .
    MOTgo on .
    MOTsee if you can get these on there .
  5. eng_british_Manchester_I/becky32a.cha, line 1441 · Becky, 2;11.01
    MOTshould've stuck these on there first .
    MOTgo on .
    MOT*MOT: see if you can get these on there .
    CHIno .
    MOTgoes there , doesn't it ?
  6. eng_british_Manchester_I/becky32a.cha, line 1498 · Becky, 2;11.01
    CHIno .
    CHIthere [/] there's +/.
    MOT*MOT: these look like two trains .
    MOTthis is for the front of another train .
    CHIlet's make two .

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_I5.18
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky32a.chaBecky 2;11.011,158665.18

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. these6 · 100.0%