PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

4.01 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (484 utterances, 2,244 words searched).

  1. you can actually prod this one out with your fingers , Warren . MOT · eng_british_Manchester_II/warr07b.cha, line 440 · Warren 2;00
  2. what did I do with the spoon ? MOT · eng_british_Manchester_II/warr07b.cha, line 763 · Warren 2;00
  3. what shall we make with the yellow stuff ? MOT · eng_british_Manchester_II/warr07b.cha, line 958 · Warren 2;00
  4. what shapes are you going to cut out with the yellow ? MOT · eng_british_Manchester_II/warr07b.cha, line 1000 · Warren 2;00
  5. you can make a monkey with this . MOT · eng_british_Manchester_II/warr07b.cha, line 1077 · Warren 2;00
  6. you can make a monkey with that bit . MOT · eng_british_Manchester_II/warr07b.cha, line 1081 · Warren 2;00
  7. just don't try it with anything apart from the yellow van now . MOT · eng_british_Manchester_II/warr07b.cha, line 1391 · Warren 2;00
  8. what are you doing with that string ? MOT · eng_british_Manchester_II/warr07b.cha, line 1399 · Warren 2;00
  9. that's what happens when you do daft things with bookshelfs . MOT · eng_british_Manchester_II/warr07b.cha, line 1413 · Warren 2;00
  1. MOTWarren .
    MOTyou're a tonic .
    MOT*MOT: you can actually prod this one out with your fingers , Warren .
    MOTrather than the prodding tool .
    MOTprod .
  2. MOTright .
    MOTdid I lose the spoon in here ?
    MOT*MOT: what did I do with the spoon ?
    MOTwhere did I put the spoon ?
    MOTdid I put it +//.
  3. MOTor your glasses .
    MOTyellow stuff ?
    MOT*MOT: what shall we make with the yellow stuff ?
    CHIthat one blue one .
    MOTmagic medicine .
  4. MOTthat's a squashed car .
    MOTright .
    MOT*MOT: what shapes are you going to cut out with the yellow ?
    MOTare you going to make some animals ?
    MOTor some more vehicles ?
  5. MOTlook .
    MOThere's another piece getting rolled out .
    MOT*MOT: you can make a monkey with this .
    MOTthere .
    MOTyou can make a monkey with that bit .
  6. MOTyou can make a monkey with this .
    MOTthere .
    MOT*MOT: you can make a monkey with that bit .
    MOTshall we push the van out ?
    MOT<prod prod> [/] prod .
  7. MOTmagic tea .
    MOTit's made the train better .
    MOT*MOT: just don't try it with anything apart from the yellow van now .
    CHIxxx .
    MOTshall we put these away now , Warren ?
  8. CHIxxx .
    MOTshall we put these away now , Warren ?
    MOT*MOT: what are you doing with that string ?
    MOTdon't pull it .
    MOTWarren .
  9. MOTit's there to stop you getting the books off .
    MOTit worked once .
    MOT*MOT: that's what happens when you do daft things with bookshelfs .
    MOTyou smack your head .
    MOTwhat have you got there ?

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. Warren eng_british_Manchester_II4.01
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/warr07b.chaWarren 2;0.172,244994.01

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. with9 · 100.0%