PHPCLANCHILDES with regular expressions

5 matches in 2 utterances

3.11 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (364 utterances, 1,609 words searched).

  1. <we'll do> [//] we'll have this for a while and then we'll change to the oth… MOT · bilingual_eng_Deuchar/861023eg.cha, line 71 · M 1;03
  2. <we'll do> [//] we'll have this for a while and then we'll change to the other microphone #… MOT · bilingual_eng_Deuchar/861023eg.cha, line 71 · M 1;03
  3. <we'll do> [//] we'll have this for a while and then we'll change to the other microphone # we'll see . MOT · bilingual_eng_Deuchar/861023eg.cha, line 71 · M 1;03
  4. …have this for a while and then we'll change to the other microphone # we'll see . MOT · bilingual_eng_Deuchar/861023eg.cha, line 71 · M 1;03
  5. now we'll switch to the radio mike . MOT · bilingual_eng_Deuchar/861023eg.cha, line 267 · M 1;03
  1. bilingual_eng_Deuchar/861023eg.cha, line 71 · M, 1;3.29
    GRAthat's right .
    GRAthat's M's # ball isn't it ?
    MOT*MOT: <we'll do> [//] we'll have this for a while and then we'll change to the other microphone # we'll see .
    GRAall right .
    CHIyyy .
  2. bilingual_eng_Deuchar/861023eg.cha, line 267 · M, 1;3.29
    MOTright .
    GRAgrandpa .
    MOT*MOT: now we'll switch to the radio mike .
    GRAwho's that ?
    CHIyyy .

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. M bilingual_eng_Deuchar3.11
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_Deuchar/861023eg.chaM 1;3.291,609253.11

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. we'll5 · 100.0%