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_ana22a.cha change

Searching only french/lyon_ana22a.cha. Search all transcripts instead

4 matches in 3 utterances

9.57 per 1,000 words of the child (CHI), in 1 of 1 transcripts (270 utterances, 418 words searched).

Concordance Utterances Distribution Matched forms

les ‹chaussures [?]› ! 540618_543257 CHI · french/lyon_ana22a.cha, line 622 · Anais 2;00
‹non [/]› non les chaussures ‹non [/]› yyy yyy chaussures ! 607842_612790 CHI · french/lyon_ana22a.cha, line 716 · Anais 2;00
‹non [/]› non les chaussures ‹non [/]› yyy yyy chaussures ! 607842_612790 CHI · french/lyon_ana22a.cha, line 716 · Anais 2;00
les (pe)ti(tes) chaussures ! 915293_919002 CHI · french/lyon_ana22a.cha, line 1101 · Anais 2;00

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

per 1,000 words

03581013

1;112;002;012;02

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_ana22a.cha	Anais	2;0.15	418	3	4	9.57

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