PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

2.33 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (600 utterances, 3,010 words searched).

  1. let's play . MOT · eng_british_Manchester_I/aran08a.cha, line 17 · Aran 2;01
  2. let's have a look at this picture of the digger . MOT · eng_british_Manchester_I/aran08a.cha, line 300 · Aran 2;01
  3. let's play with something else . MOT · eng_british_Manchester_I/aran08a.cha, line 839 · Aran 2;01
  4. let's have a look at eensie weensie spider . MOT · eng_british_Manchester_I/aran08a.cha, line 925 · Aran 2;01
  5. let's have a look at these . MOT · eng_british_Manchester_I/aran08a.cha, line 1336 · Aran 2;01
  6. let's have a look at this . MOT · eng_british_Manchester_I/aran08a.cha, line 1444 · Aran 2;01
  7. let's get it the right way up . MOT · eng_british_Manchester_I/aran08a.cha, line 1446 · Aran 2;01
  1. MOTwhere there's no sense no feeling .
    MOTcome on .
    MOT*MOT: let's play .
    CHIlet's play .
    MOTyes .
  2. CHIyeah .
    MOTcome on .
    MOT*MOT: let's have a look at this picture of the digger .
    CHIthere .
    CHItrousers .
  3. MOTyes I think perhaps not .
    MOTcome on .
    MOT*MOT: let's play with something else .
    MOTwhat would you like to play with ?
    MOTare you going to look at some books ?
  4. MOTyou're too good at that ,, aren't you ?
    MOTcome on .
    MOT*MOT: let's have a look at eensie weensie spider .
    MOTor even better .
    MOTwhat about your favorite .
  5. MOTthere's a pussycat ,, isn't there ?
    MOTcome on .
    MOT*MOT: let's have a look at these .
    MOTno .
    MOTwe don't do that .
  6. MOTare you going to give me a kiss ?
    MOTcome on .
    MOT*MOT: let's have a look at this .
    MOTlet's get it the right way up .
    MOTright .
  7. MOTcome on .
    MOTlet's have a look at this .
    MOT*MOT: let's get it the right way up .
    MOTright .
    MOTnow we've got a duck ,, haven't we ?

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_I2.33
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/aran08a.chaAran 2;1.283,010772.33

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. let's7 · 100.0%