PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.90 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (331 utterances, 1,725 words searched).

  1. who else is going on a plane to Malta ? MOT · eng_british_Manchester_II/warr24a.cha, line 1143 · Warren 2;06
  2. and when are we going on the plane to Malta ? MOT · eng_british_Manchester_II/warr24a.cha, line 1148 · Warren 2;06
  3. after tea we'll be on the plane . MOT · eng_british_Manchester_II/warr24a.cha, line 1329 · Warren 2;06
  4. in fact we'll have our tea on the plane . MOT · eng_british_Manchester_II/warr24a.cha, line 1331 · Warren 2;06
  5. we'll eat it on the plane . MOT · eng_british_Manchester_II/warr24a.cha, line 1334 · Warren 2;06
  1. eng_british_Manchester_II/warr24a.cha, line 1143 · Warren, 2;6.04
    MOToh where to ?
    CHIto Malta .
    MOT*MOT: who else is going on a plane to Malta ?
    CHIWarren and Daddy and Mummy .
    MOTand when are we going on the plane to Malta ?
  2. eng_british_Manchester_II/warr24a.cha, line 1148 · Warren, 2;6.04
    MOTwho else is going on a plane to Malta ?
    CHIWarren and Daddy and Mummy .
    MOT*MOT: and when are we going on the plane to Malta ?
    CHINana maybe come .
    MOTyeah .
  3. eng_british_Manchester_II/warr24a.cha, line 1329 · Warren, 2;6.04
    CHIafter tea maybe go to Nana Granddad's .
    MOTno .
    MOT*MOT: after tea we'll be on the plane .
    MOTin fact we'll have our tea on the plane .
    MOTwe'll eat it on the plane .
  4. eng_british_Manchester_II/warr24a.cha, line 1331 · Warren, 2;6.04
    MOTno .
    MOTafter tea we'll be on the plane .
    MOT*MOT: in fact we'll have our tea on the plane .
    MOTwe'll eat it on the plane .
    CHIand a cake .
  5. eng_british_Manchester_II/warr24a.cha, line 1334 · Warren, 2;6.04
    MOTafter tea we'll be on the plane .
    MOTin fact we'll have our tea on the plane .
    MOT*MOT: we'll eat it on the plane .
    CHIand a cake .
    MOTwell I think the cakes might come tomorrow .

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_II2.90
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/warr24a.chaWarren 2;6.041,725552.90

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. plane5 · 100.0%