PHPCLANCHILDES with regular expressions

8 matches in 7 utterances

2.62 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (627 utterances, 3,059 words searched).

  1. two eyes a big nose and a great big smile . MOT · eng_british_Manchester_I/aran10a.cha, line 550 · Aran 2;02
  2. two eyes a big nose and a great big smile . MOT · eng_british_Manchester_I/aran10a.cha, line 550 · Aran 2;02
  3. see if he's got big teeth . MOT · eng_british_Manchester_I/aran10a.cha, line 1023 · Aran 2;02
  4. if he's got big teeth it's Goofy . MOT · eng_british_Manchester_I/aran10a.cha, line 1025 · Aran 2;02
  5. has he got big teeth ? MOT · eng_british_Manchester_I/aran10a.cha, line 1042 · Aran 2;02
  6. where's the one with big teeth ? MOT · eng_british_Manchester_I/aran10a.cha, line 1120 · Aran 2;02
  7. where's the one with big teeth ? MOT · eng_british_Manchester_I/aran10a.cha, line 1125 · Aran 2;02
  8. is he going to eat that big cake ? MOT · eng_british_Manchester_I/aran10a.cha, line 1159 · Aran 2;02
  1. MOToh is this a picture of you that Louise's drawn ,, is it ?
    MOToh look .
    MOT*MOT: two eyes a big nose and a great big smile .
    MOTis that you ?
    MOTcome on .
  2. MOTcome on .
    MOTlet's see .
    MOT*MOT: see if he's got big teeth .
    MOTif he's got big teeth it's Goofy .
    MOTthat's Donald_Duck .
  3. MOTlet's see .
    MOTsee if he's got big teeth .
    MOT*MOT: if he's got big teeth it's Goofy .
    MOTthat's Donald_Duck .
    MOTlook .
  4. MOTcome on .
    MOToh there we are .
    MOT*MOT: has he got big teeth ?
    MOToh no .
    MOTthat's Pluto ,, isn't it ?
  5. CHIthat got me .
    MOTwhat happened to number two ?
    MOT*MOT: where's the one with big teeth ?
    MOThmm ?
    MOTwhere's the one with big teeth ?
  6. MOTwhere's the one with big teeth ?
    MOThmm ?
    MOT*MOT: where's the one with big teeth ?
    MOTthat one .
    MOTthat's [/] that's Goofy ,, isn't it ?
  7. MOTMickey's driving a car by the looks of things ,, isn't he ?
    MOTand <what's Pluto> [//] what's Goofy going to do ?
    MOT*MOT: is he going to eat that big cake ?
    MOTDonald's on the telephone .
    MOTdon't know what Minnie's doing .

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_I2.62
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/aran10a.chaAran 2;2.183,059782.62

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. big8 · 100.0%