PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

4.89 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (334 utterances, 1,226 words searched).

  1. look . MOT · eng_british_Manchester_I/becky30a.cha, line 403 · Becky 2;10
  2. look . MOT · eng_british_Manchester_I/becky30a.cha, line 463 · Becky 2;10
  3. look at that green one at the front . MOT · eng_british_Manchester_I/becky30a.cha, line 760 · Becky 2;10
  4. you look as though you're laughing to me . MOT · eng_british_Manchester_I/becky30a.cha, line 835 · Becky 2;10
  5. and then I'll go and have a look . MOT · eng_british_Manchester_I/becky30a.cha, line 1112 · Becky 2;10
  6. let's have a look what needs to go here then . MOT · eng_british_Manchester_I/becky30a.cha, line 1256 · Becky 2;10
  1. eng_british_Manchester_I/becky30a.cha, line 403 · Becky, 2;10.12
    MOToh .
    MOTwe're not doing fine .
    MOT*MOT: look .
    CHIMum .
    MOTwhat ?
  2. eng_british_Manchester_I/becky30a.cha, line 463 · Becky, 2;10.12
    CHIxxx .
    MOTget off it , Becky .
    MOT*MOT: look .
    MOTyou're breaking it up .
    CHIxxx .
  3. eng_british_Manchester_I/becky30a.cha, line 760 · Becky, 2;10.12
    CHIwhere ?
    MOTthere .
    MOT*MOT: look at that green one at the front .
    CHIoh .
    MOTthat's better .
  4. eng_british_Manchester_I/becky30a.cha, line 835 · Becky, 2;10.12
    MOTaren't you ?
    CHIno .
    MOT*MOT: you look as though you're laughing to me .
    MOTI'm gonna [: going to] have to get these dried , aren't you ?
    CHII 0am [*] not .
  5. eng_british_Manchester_I/becky30a.cha, line 1112 · Becky, 2;10.12
    MOThere .
    MOTput [/] put these in [//] on .
    MOT*MOT: and then I'll go and have a look .
    MOTput [//] can you put them on yourself ?
    MOTno .
  6. eng_british_Manchester_I/becky30a.cha, line 1256 · Becky, 2;10.12
    CHII have pink .
    MOTright .
    MOT*MOT: let's have a look what needs to go here then .
    CHIthis [/] this +//.
    CHII [/] I have pink .

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_I4.89
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky30a.chaBecky 2;10.121,226664.89

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. look6 · 100.0%