PHPCLANCHILDES with regular expressions

Regular expression

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More conditions (like a second grep)

The utterance must also match

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Context

Ignore case Whole words

Scope One transcript: french/lyon_nat19a.cha change

Searching only french/lyon_nat19a.cha. Search all transcripts instead

7 matches in 4 utterances

4.87 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (366 utterances, 1,438 words searched).

Concordance Utterances Distribution Matched forms

eh eh . 0_3412 MOT · french/lyon_nat19a.cha, line 17 · Nathan 1;10
eh eh . 0_3412 MOT · french/lyon_nat19a.cha, line 17 · Nathan 1;10
eh t(u) as d(e) beaux yeux tu sais . MOT · french/lyon_nat19a.cha, line 1042 · Nathan 1;10
eh eh eh . 1491022_1500177 MOT · french/lyon_nat19a.cha, line 1053 · Nathan 1;10
eh eh eh . 1491022_1500177 MOT · french/lyon_nat19a.cha, line 1053 · Nathan 1;10
eh eh eh . 1491022_1500177 MOT · french/lyon_nat19a.cha, line 1053 · Nathan 1;10
eh oh oh pas d(e) bagarre . 1500177_1504152 MOT · french/lyon_nat19a.cha, line 1063 · Nathan 1;10

One dot per transcript: matches per 1,000 words of everyone but CHI. Dots of the same child are joined.

per 1,000 words

0246

1;091;101;112;00

Age of the child (years;months)

Matches per 1,000 words, all transcripts of each child together, highest first.

All transcripts as a table

Transcript	Child	Age	Words	Utterances matched	Matches	Per 1,000 words
french/lyon_nat19a.cha	Nathan	1;10.19	1,438	4	7	4.87

1 different forms (lowercased). Useful to see what a pattern really catches: unexpected forms here usually mean the pattern is too broad.