PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

3.00 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (350 utterances, 1,669 words searched).

  1. let's see if you can send it under the bridge , shall we ? MOT · eng_british_Manchester_II/warr11a.cha, line 92 · Warren 2;01
  2. let's make a bridge . MOT · eng_british_Manchester_II/warr11a.cha, line 95 · Warren 2;01
  3. let's put a cushion down . MOT · eng_british_Manchester_II/warr11a.cha, line 159 · Warren 2;01
  4. let's get them mended . MOT · eng_british_Manchester_II/warr11a.cha, line 699 · Warren 2;01
  5. let's get Henry's tender on . MOT · eng_british_Manchester_II/warr11a.cha, line 1033 · Warren 2;01
  1. eng_british_Manchester_II/warr11a.cha, line 92 · Warren, 2;1.28
    MOTone <two three go> [>] .
    CHI<two three go> [<] .
    MOT*MOT: let's see if you can send it under the bridge , shall we ?
    MOTlet's make a bridge .
    MOTsee if it can go under the bridge ?
  2. eng_british_Manchester_II/warr11a.cha, line 95 · Warren, 2;1.28
    CHI<two three go> [<] .
    MOTlet's see if you can send it under the bridge , shall we ?
    MOT*MOT: let's make a bridge .
    MOTsee if it can go under the bridge ?
    MOTwhere's the +//.
  3. eng_british_Manchester_II/warr11a.cha, line 159 · Warren, 2;1.28
    MOTit did land on the track .
    MOTI'll move the track then it's got a soft landing .
    MOT*MOT: let's put a cushion down .
    MOTso it has a soft landing .
    MOTit'll land on your head mate .
  4. eng_british_Manchester_II/warr11a.cha, line 699 · Warren, 2;1.28
    CHIxxx .
    MOThere we are .
    MOT*MOT: let's get them mended .
    CHIget more .
    MOTpoor Henry .
  5. eng_british_Manchester_II/warr11a.cha, line 1033 · Warren, 2;1.28
    MOTwell I don't think we need to look in a book at the moment , do we ?
    CHIlook in the big book .
    MOT*MOT: let's get Henry's tender on .
    CHIthis book .
    MOTwhich book ?

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_II3.00
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/warr11a.chaWarren 2;1.281,669553.00

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's5 · 100.0%