PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

2.77 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (292 utterances, 723 words searched).

  1. mamma tabeten no . %mov:"11116"_641105_642915 FAT · japanese_ishii/11116.cha, line 429 · Jun 1;11
  2. mamma tabeteru wa . %mov:"11116"_646466_647323 FAT · japanese_ishii/11116.cha, line 434 · Jun 1;11
  1. japanese_ishii/11116.cha, line 429 · Jun, 1;11.16
    FATnenne shiteru nee, uun . %mov:"11116"_636786_639250
    CHImamma xxx mamma xxx . %mov:"11116"_639250_641105
    FAT*FAT: mamma tabeten no . %mov:"11116"_641105_642915
    CHIxxx . %mov:"11116"_642915_644659
    FATnyanko mo ? %mov:"11116"_644659_645560
  2. japanese_ishii/11116.cha, line 434 · Jun, 1;11.16
    FATnyanko mo ? %mov:"11116"_644659_645560
    CHImamma ya . %mov:"11116"_645560_646466
    FAT*FAT: mamma tabeteru wa . %mov:"11116"_646466_647323
    FATkore, kore wa ? %mov:"11116"_647323_648945
    CHIajujju . %mov:"11116"_648945_650028

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_ishii2.77
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/11116.chaJun 1;11.16723222.77

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. mamma2 · 100.0%