PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

3.32 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (550 utterances, 2,108 words searched).

  1. we need some more bread I think . MOT · eng_british_Manchester_I/anne07a.cha, line 720 · Anne 2;00
  2. do you need a wee ? MOT · eng_british_Manchester_I/anne07a.cha, line 724 · Anne 2;00
  3. it looks like we need to do the washing up now . MOT · eng_british_Manchester_I/anne07a.cha, line 1327 · Anne 2;00
  4. we need to do the washing up . MOT · eng_british_Manchester_I/anne07a.cha, line 1334 · Anne 2;00
  5. you need a cloth ? MOT · eng_british_Manchester_I/anne07a.cha, line 1408 · Anne 2;00
  6. do you need another wee ? MOT · eng_british_Manchester_I/anne07a.cha, line 1582 · Anne 2;00
  7. we need to make it a bit bigger first . MOT · eng_british_Manchester_I/anne07a.cha, line 1713 · Anne 2;00
  1. CHIsandwich Anne .
    MOTa sandwich for Anne .
    MOT*MOT: we need some more bread I think .
    MOTto make a sandwich .
    MOTdo you need a wee ?
  2. MOTwe need some more bread I think .
    MOTto make a sandwich .
    MOT*MOT: do you need a wee ?
    MOTAnne ?
    MOTAnne shall we go have a wee ?
  3. CHITumble_town .
    MOToh .
    MOT*MOT: it looks like we need to do the washing up now .
    CHIyeah .
    MOTyeah .
  4. CHIyeah .
    MOTyeah .
    MOT*MOT: we need to do the washing up .
    CHIwash .
    MOTare you washing the phone ?
  5. CHIxxx .
    CHIcloth please .
    MOT*MOT: you need a cloth ?
    CHIwipe up there .
    MOTshall we use that as a cloth for washing up ?
  6. MOTis it anybody ?
    CHIno .
    MOT*MOT: do you need another wee ?
    CHIno .
    MOTare you sure ?
  7. MOToh well .
    MOThang on .
    MOT*MOT: we need to make it a bit bigger first .
    CHIdo it then .
    MOTgo on you do some and I'll do some more .

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. Anne eng_british_Manchester_I3.32
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/anne07a.chaAnne 2;0.152,108773.32

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. need7 · 100.0%