PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.84 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (643 utterances, 1,759 words searched).

  1. nottehen no . %mov:"30420"_11806_12874 FAT · japanese_ishii/30420.cha, line 20 · Jun 3;04
  2. tokkyuu shika nottehen no . %mov:"30420"_15734_17241 FAT · japanese_ishii/30420.cha, line 23 · Jun 3;04
  3. nottehen no . %mov:"30420"_54252_54977 FAT · japanese_ishii/30420.cha, line 39 · Jun 3;04
  4. sore nottehen wa,, doremo . %mov:"30420"_258836_260251 FAT · japanese_ishii/30420.cha, line 166 · Jun 3;04
  5. sore nottehen wa . %mov:"30420"_390669_391824 FAT · japanese_ishii/30420.cha, line 253 · Jun 3;04
  1. CHIJun wa ? %mov:"30420"_9550_10255
    CHInottehen [: nottenai] . %mov:"30420"_10255_11806
    FAT*FAT: nottehen no . %mov:"30420"_11806_12874
    CHIun . %mov:"30420"_12874_14039
    CHItokkyuu shika . %mov:"30420"_14039_15734
  2. CHIun . %mov:"30420"_12874_14039
    CHItokkyuu shika . %mov:"30420"_14039_15734
    FAT*FAT: tokkyuu shika nottehen no . %mov:"30420"_15734_17241
    CHIun . %mov:"30420"_17241_17730
    CHItokkyuu # notta kedo . %mov:"30420"_17730_21272
  3. FATJun wa Keehan wa ? %mov:"30420"_51786_52858
    CHInottehen . %mov:"30420"_52858_54252
    FAT*FAT: nottehen no . %mov:"30420"_54252_54977
    CHIun . %mov:"30420"_54977_55573
    FATdoo shita n . %mov:"30420"_55573_56090
  4. FATdore [<] notta ka naa ?%mov:"30420"_253765_257905
    CHIkore yaro . %mov:"30420"_257905_258836
    FAT*FAT: sore nottehen wa,, doremo . %mov:"30420"_258836_260251
    FATwa, kore nan da . %mov:"30420"_260251_264088
    CHIunten . %mov:"30420"_264088_265614
  5. CHIare ? %mov:"30420"_382439_383928
    CHIchottoo # Otoosan dore notte +... %mov:"30420"_383928_390669
    FAT*FAT: sore nottehen wa . %mov:"30420"_390669_391824
    FATa ! %mov:"30420"_391824_392682
    CHIkore ka ? %mov:"30420"_392682_393239

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_ishii2.84
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/30420.chaJun 3;04.201,759552.84

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. nottehen5 · 100.0%