PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

2.82 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (508 utterances, 2,483 words searched).

  1. is that what we're doing ? MOT · eng_british_Manchester_I/aran02a.cha, line 641 · Aran 1;11
  2. and what was he doing ? MOT · eng_british_Manchester_I/aran02a.cha, line 824 · Aran 1;11
  3. what was he doing ? MOT · eng_british_Manchester_I/aran02a.cha, line 826 · Aran 1;11
  4. and what were you doing ? MOT · eng_british_Manchester_I/aran02a.cha, line 828 · Aran 1;11
  5. about what you've been doing . MOT · eng_british_Manchester_I/aran02a.cha, line 977 · Aran 1;11
  6. what are you doing in your boat ? MOT · eng_british_Manchester_I/aran02a.cha, line 1012 · Aran 1;11
  7. is that what you're doing ? MOT · eng_british_Manchester_I/aran02a.cha, line 1350 · Aran 1;11
  1. MOThave we got the bus to get to the [/] the station ?
    MOThave we ?
    MOT*MOT: is that what we're doing ?
    MOThmm ?
    MOTare we getting off ?
  2. MOThe was called Toby ,, wasn't he ?
    CHIToby .
    MOT*MOT: and what was he doing ?
    MOTwhat was he doing ?
    MOTand what were you doing ?
  3. CHIToby .
    MOTand what was he doing ?
    MOT*MOT: what was he doing ?
    MOTand what were you doing ?
    CHIme [*] going there .
  4. MOTand what was he doing ?
    MOTwhat was he doing ?
    MOT*MOT: and what were you doing ?
    CHIme [*] going there .
    MOTwere you throwing stones on the pond ?
  5. MOTyou have been wearing knickers ,, haven't you ?
    MOTyou're going to tell everybody ,, aren't you ?
    MOT*MOT: about what you've been doing .
    INVvery proud of it .
    CHInot door .
  6. MOTit goes behind the trees in the park the train ,, doesn't it ?
    MOTcome on then .
    MOT*MOT: what are you doing in your boat ?
    MOTare you sailing ?
    CHIwave .
  7. MOTbefore we move off .
    MOTare you going to shine up <all the> [/] er # all the brass ?
    MOT*MOT: is that what you're doing ?
    MOTdoes teddy want a shine too ?
    CHIbook .

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. Aran eng_british_Manchester_I2.82
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/aran02a.chaAran 1;11.262,483772.82

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. doing7 · 100.0%