PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

3.58 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (276 utterances, 559 words searched).

  1. uwaa . %mov:"00907"_577656_578834 FAT · japanese_ishii/00907.cha, line 382 · Jun 0;09
  2. uwaa . %mov:"00907"_578834_581385 FAT · japanese_ishii/00907.cha, line 383 · Jun 0;09
  1. japanese_ishii/00907.cha, line 382 · Jun, 0;9.07
    CHIxxx [<] .%mov:"00907"_575401_576244
    FAThaai, <gohon miyo> [/] gohon miyo . %mov:"00907"_576244_576244
    FAT*FAT: uwaa . %mov:"00907"_577656_578834
    FATuwaa . %mov:"00907"_578834_581385
    FATwa ! %mov:"00907"_581385_581951
  2. japanese_ishii/00907.cha, line 383 · Jun, 0;9.07
    FAThaai, <gohon miyo> [/] gohon miyo . %mov:"00907"_576244_576244
    FATuwaa . %mov:"00907"_577656_578834
    FAT*FAT: uwaa . %mov:"00907"_578834_581385
    FATwa ! %mov:"00907"_581385_581951
    FATiiya ! %mov:"00907"_581951_583747

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. Jun japanese_ishii3.58
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/00907.chaJun 0;9.07559223.58

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. uwaa2 · 100.0%