fix: ensure nlp/sentencize handles punctuation in quotation marks properly

lib/node_modules/@stdlib/nlp/sentencize/lib/main.js

@@ -27,11 +27,13 @@ var trim = require( '@stdlib/string/base/trim' );
 
 // VARIABLES //
 
+var RE_LOWERCASE = /^[a-z]+$/;
 var RE_CAPITALIZED = /^[A-Z][a-z]{0,4}$/;
 var RE_CAPITALIZED_PERIOD = /^([A-Z]\.)*[A-Z]$/;
 var RE_NUMBER = /^[0-9]$/;
 var RE_PREFIXES = /^[{[(<:;"'”`]/;
 var RE_SUFFIXES = /[})\]>:;"'”`]$/;
+var RE_QUOTES = /^["'`]$/;
 
 
 // FUNCTIONS //
@@ -51,10 +53,38 @@ var RE_SUFFIXES = /[})\]>:;"'”`]$/;
 * @returns {boolean} boolean indicating whether the token at a specified index is an end-of-sentence token
 */
 function isEndOfSentence( tokens, i ) {
+	var nextToken;
 	var token;
 	var im1 = i - 1;
 	var ip1 = i + 1;
+
 	token = tokens[ i ];
+
+	// Handle quoted text with punctuation...
+	if (
+		RE_QUOTES.test( token ) &&
+		i > 0 &&
+		( tokens[ im1 ] === '.' || tokens[ im1 ] === '!' || tokens[ im1 ] === '?' )
+	) {
+		// Look ahead to see if sentence continues:
+		ip1 = i + 1;
+		if ( ip1 < tokens.length ) {
+			// Skip spaces...
+			while ( ip1 < tokens.length && tokens[ ip1 ] === ' ' ) {
+				ip1 += 1;
+			}
+			// If next non-space token is lowercase, we assume the sentence continues:
+			if ( ip1 < tokens.length ) {
+				nextToken = tokens[ ip1 ];
+				if ( RE_LOWERCASE.test( nextToken ) ) {
+					return false;
+				}
+			}
+		}
+		return true;
+	}
+
+	// Regular sentence ending punctuation...
 	if (
 		token === '.' &&
 		!RE_CAPITALIZED.test( tokens[ im1 ] ) && // for other short abbreviations and bullet points
@@ -73,12 +103,6 @@ function isEndOfSentence( tokens, i ) {
 	) {
 		return true;
 	}
-	if (
-		RE_SUFFIXES.test( token ) &&
-		( tokens[ im1 ] === '.' || tokens[ im1 ] === '!' || tokens[ im1 ] === '?' )
-	) {
-		return true;
-	}
 	return false;
 }
 
@@ -112,6 +136,7 @@ function sentencize( str ) {
 	var tokens;
 	var out;
 	var i;
+
 	if ( !isString( str ) ) {
 		throw new TypeError( 'invalid argument. Must provide a string. Value: `' + str + '`.' );
 	}

lib/node_modules/@stdlib/nlp/sentencize/test/test.js

@@ -317,3 +317,41 @@ tape( 'the function returns an empty array if provided an empty string', functio
 	t.equal( out.length, 0, 'array length is zero' );
 	t.end();
 });
+
+tape( 'the function correctly handles punctuation within quotation marks', function test( t ) {
+	var expected;
+	var actual;
+	var str;
+
+	str = 'I said "Look out" right before he banged his head.';
+	expected = [ 'I said "Look out" right before he banged his head.' ];
+	actual = sentencize( str );
+	t.deepEqual( actual, expected, 'keeps sentence with simple quotes together' );
+
+	str = 'I said "Look out!" right before he banged his head.';
+	expected = [ 'I said "Look out!" right before he banged his head.' ];
+	actual = sentencize( str );
+	t.deepEqual( actual, expected, 'keeps sentence with exclamation in quotes together' );
+
+	str = 'He asked "What time is it?" before leaving.';
+	expected = [ 'He asked "What time is it?" before leaving.' ];
+	actual = sentencize( str );
+	t.deepEqual( actual, expected, 'keeps sentence with question mark in quotes together' );
+
+	str = '"Stop!" he yelled. "We need to think about this."';
+	expected = [ '"Stop!" he yelled.', '"We need to think about this."' ];
+	actual = sentencize( str );
+	t.deepEqual( actual, expected, 'correctly splits multiple quoted sentences' );
+
+	str = 'She said "This is great!" and smiled.';
+	expected = [ 'She said "This is great!" and smiled.' ];
+	actual = sentencize( str );
+	t.deepEqual( actual, expected, 'keeps sentence with exclamation in middle quotes together' );
+
+	str = '"Is this correct?" he wondered. "I think so!" she replied.';
+	expected = [ '"Is this correct?" he wondered.', '"I think so!" she replied.' ];
+	actual = sentencize( str );
+	t.deepEqual( actual, expected, 'correctly handles multiple quoted sentences with different punctuation' );
+
+	t.end();
+});