PHPCLANCHILDES with regular expressions

Regular expression

Press Enter to search, Shift+Enter for a new line.

More conditions (like a second grep)

The utterance must also match

…and must not match

Search in

Speakers

Context

Ignore case Whole words

Scope One transcript: eng_USA_Valian/03a.cha change

Searching only eng_USA_Valian/03a.cha. Search all transcripts instead

5 matches in 5 utterances

2.32 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (625 utterances, 2,154 words searched).

Concordance Utterances Distribution Matched forms

Dover ? MOT · eng_USA_Valian/03a.cha, line 1963 · 03A 2;01
Dover what ? MOT · eng_USA_Valian/03a.cha, line 1969 · 03A 2;01
can you say Dover, Massachusetts ? MOT · eng_USA_Valian/03a.cha, line 1971 · 03A 2;01
Dover, Massachusetts ? MOT · eng_USA_Valian/03a.cha, line 1973 · 03A 2;01
can you tell Investigator Dover, Massachusetts ? MOT · eng_USA_Valian/03a.cha, line 1977 · 03A 2;01

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

per 1,000 words

0.00.51.01.52.02.5

2;002;012;022;03

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
eng_USA_Valian/03a.cha	03A	2;1.23	2,154	5	5	2.32

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