PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

3.37 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (236 utterances, 593 words searched).

  1. pibo@o tte suru wa . %mov:"10721"_327096_327096 FAT · japanese_ishii/10721.cha, line 253 · Jun 1;07
  2. dore,, putchin@o tte . %mov:"10721"_620515_622616 FAT · japanese_ishii/10721.cha, line 437 · Jun 1;07
  1. FATaa, otete itaiitai shiten no . %mov:"10721"_321546_323607
    FATa, chutchu@o ga kamu no ka ? %mov:"10721"_323607_327096
    FAT*FAT: pibo@o tte suru wa . %mov:"10721"_327096_327096
    CHImammawaa . %mov:"10721"_332507_334283
    FATmamma xxx [>] . %mov:"10721"_334283_335596
  2. CHIpuchiiewa ? %mov:"10721"_617431_619565
    FATpuchin@o wa ? %mov:"10721"_619565_620515
    FAT*FAT: dore,, putchin@o tte . %mov:"10721"_620515_622616
    CHIxxx . %mov:"10721"_622616_625174
    FATkiekie [: kirei] shiten [: shiteiru] no . %mov:"10721"_625174_627797

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_ishii3.37
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/10721.chaJun 1;7.21593223.37

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. tte2 · 100.0%