PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

4.29 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (316 utterances, 1,399 words searched).

  1. oh that looks nice . MOT · eng_british_Manchester_II/warr26a.cha, line 442 · Warren 2;07
  2. nice clean nose now . MOT · eng_british_Manchester_II/warr26a.cha, line 446 · Warren 2;07
  3. making the grass look nice and smart . MOT · eng_british_Manchester_II/warr26a.cha, line 641 · Warren 2;07
  4. does she buy you lots of nice things ? MOT · eng_british_Manchester_II/warr26a.cha, line 1153 · Warren 2;07
  5. that's a nice vacuum noise you're making though . MOT · eng_british_Manchester_II/warr26a.cha, line 1300 · Warren 2;07
  6. oh that's getting the lights nice and clean , isn't it ? MOT · eng_british_Manchester_II/warr26a.cha, line 1379 · Warren 2;07
  1. MOTblow down your nose .
    MOTsee .
    MOT*MOT: oh that looks nice .
    MOTcan I have a kiss ?
    MOTnice clean nose now .
  2. MOToh that looks nice .
    MOTcan I have a kiss ?
    MOT*MOT: nice clean nose now .
    CHIthat bus is too big .
    CHIxxx .
  3. CHIit's going all across the daisys .
    MOTis it ?
    MOT*MOT: making the grass look nice and smart .
    CHIyeah .
    MOTthat's a good idea .
  4. MOTis Isabel kind ?
    CHIyeah .
    MOT*MOT: does she buy you lots of nice things ?
    CHIno .
    MOTyou like going to Isabel's , don't you ?
  5. CHIbrumm@o .
    MOTyou're funny .
    MOT*MOT: that's a nice vacuum noise you're making though .
    MOTare you going to get a bucket with some water in and a sponge in a minute and wash it down ?
    CHII 0am [*] gonna [: going to] get a bucket .
  6. CHIgot lights .
    CHIxxx .
    MOT*MOT: oh that's getting the lights nice and clean , isn't it ?
    MOTwhat a shiny car .
    MOTjust got the sides to do now , haven't you ?

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_II4.29
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/warr26a.chaWarren 2;7.051,399664.29

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. nice6 · 100.0%