PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.39 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (453 utterances, 2,092 words searched).

  1. we've been to Tunbridge_Wells , haven't we since +/. MOT · eng_british_Manchester_I/gail31a.cha, line 188 · Gail 2;10
  2. but they rang us and they haven't got any . MOT · eng_british_Manchester_I/gail31a.cha, line 645 · Gail 2;10
  3. lots of teeth , haven't they ? INV · eng_british_Manchester_I/gail31a.cha, line 817 · Gail 2;10
  4. you've always liked making holes , haven't you ? MOT · eng_british_Manchester_I/gail31a.cha, line 1001 · Gail 2;10
  5. we've been on the plane already , haven't we ? INV · eng_british_Manchester_I/gail31a.cha, line 1254 · Gail 2;10
  1. eng_british_Manchester_I/gail31a.cha, line 188 · Gail, 2;10.08
    MOTtell you what .
    CHIyeah ?
    MOT*MOT: we've been to Tunbridge_Wells , haven't we since +/.
    CHII [/] I 0am [*] doing these for Daddy .
    MOTare you ?
  2. eng_british_Manchester_I/gail31a.cha, line 645 · Gail, 2;10.08
    MOTbut it hasn't arrived , has it ?
    MOTwe were going to give him a special tent , weren't we ?
    MOT*MOT: but they rang us and they haven't got any .
    MOTwe'll have to get him something else .
    MOTbut xxx to do that .
  3. eng_british_Manchester_I/gail31a.cha, line 817 · Gail, 2;10.08
    INVit'll look a little bit more like a snake I think but never mind .
    INVxxx .
    INV*INV: lots of teeth , haven't they ?
    MOTis Caroline good at drawing ?
    INVno .
  4. eng_british_Manchester_I/gail31a.cha, line 1001 · Gail, 2;10.08
    CHIjust going to do some more holes .
    MOToh dear .
    MOT*MOT: you've always liked making holes , haven't you ?
    INVthere .
    INVI've joined the dots up and made a man , look .
  5. eng_british_Manchester_I/gail31a.cha, line 1254 · Gail, 2;10.08
    INVyeah .
    MOTare you ready ?
    INV*INV: we've been on the plane already , haven't we ?
    INVwe're just waiting for our suitcases .
    MOT<you know what> [>] .

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. Gail eng_british_Manchester_I2.39
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/gail31a.chaGail 2;10.082,092552.39

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. haven't5 · 100.0%