PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

3.59 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (380 utterances, 1,392 words searched).

  1. he was a little wood+louse , wasn't he ? MOT · eng_british_Manchester_I/becky20b.cha, line 144 · Becky 2;06
  2. let's move him up a little bit , shall we ? MOT · eng_british_Manchester_I/becky20b.cha, line 577 · Becky 2;06
  3. and there's a little knife . MOT · eng_british_Manchester_I/becky20b.cha, line 766 · Becky 2;06
  4. do you want to eat one of these little +//. MOT · eng_british_Manchester_I/becky20b.cha, line 1504 · Becky 2;06
  5. they look like little cakes , don't they with cherrys on top . MOT · eng_british_Manchester_I/becky20b.cha, line 1507 · Becky 2;06
  1. eng_british_Manchester_I/becky20b.cha, line 144 · Becky, 2;6.29
    MOTwe found an insect the other day though , didn't we ?
    MOTcan you remember ?
    MOT*MOT: he was a little wood+louse , wasn't he ?
    MOT<do you remember that> [>] .
    CHI<we found insect> [<] .
  2. eng_british_Manchester_I/becky20b.cha, line 577 · Becky, 2;6.29
    MOTlook .
    MOTit's sticking out the bottom of the page .
    MOT*MOT: let's move him up a little bit , shall we ?
    MOTshall we just put him there ?
    CHIno .
  3. eng_british_Manchester_I/becky20b.cha, line 766 · Becky, 2;6.29
    MOTwhat you do , look Becky is +...
    MOTyou put them on a plate .
    MOT*MOT: and there's a little knife .
    MOTand you cut them in half with the knife , look .
    MOTthere .
  4. eng_british_Manchester_I/becky20b.cha, line 1504 · Becky, 2;6.29
    CHIvery full now .
    MOTyou're very full now , are you ?
    MOT*MOT: do you want to eat one of these little +//.
    MOTthey look like little cakes , don't they with cherrys on top .
    CHIyeah .
  5. eng_british_Manchester_I/becky20b.cha, line 1507 · Becky, 2;6.29
    MOTyou're very full now , are you ?
    MOTdo you want to eat one of these little +//.
    MOT*MOT: they look like little cakes , don't they with cherrys on top .
    CHIyeah .
    CHIxxx .

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. Becky eng_british_Manchester_I3.59
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky20b.chaBecky 2;6.291,392553.59

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. little5 · 100.0%