</form>
<script>
function setValue(){
document.form.my_text.value = final_transcript;
document.forms["form"].submit();
}
</script>
<?php
$mySentence = $_POST['my_text'];
//Store the stated sentence
$query = "";
//Store the topic of the query
$pos = new \StanfordNLP\POSTagger('./models/english-left3words-distsim.tagger', './stanford-postagger.jar');
$ner = new \StanfordNLP\NERTagger('./classifiers/english.all.3class.distsim.crf.ser.gz', './stanford-ner.jar');
//Used for tagging the topic as either a person, organization or location
$curl = curl_init();
$i = 0;
//Used to navigate through loops
$valid = false;
//Used to check if a stated sentence is valid, defaults as invalid
//EXTRACT SPOKEN WORDS
if (substr($mySentence, 0, 8) === "What is ") {
$valid = true;
$position = strpos($mySentence, "is ");
$query = substr($mySentence, $position + strlen("is "));
$query = ucwords($query);
//echo $query;
$_SESSION["query"] = $query;
//Store the search term in the session
public static function NER($sentences)
{
Yii::setPathOfAlias('StanfordNLP', Yii::app()->basePath . '/components/StanfordNLP');
$ner = new StanfordNLP\NERTagger(Yii::app()->params['stanfordNerPath'] . 'classifiers/english.muc.7class.distsim.crf.ser.gz', Yii::app()->params['stanfordNerPath'] . 'stanford-ner.jar');
$result = $ner->tag(explode('.', $sentences));
return $result;
}
<html>
<body>
<?php
error_reporting(E_ALL);
include_once 'lib/stanford-nlp/autoload.php';
/* standford nlp autoloader inclusion */
$ner = new \StanfordNLP\NERTagger(__DIR__ . '/lib/stanford-ner-2015-04-20/classifiers/english.all.3class.distsim.crf.ser.gz', __DIR__ . '/lib/stanford-ner-2015-04-20/stanford-ner.jar');
$result = $ner->tag(explode(' ', "The Federal Reserve Bank of New York led by Timothy R. Geithner."));
echo "<h3>Log</h3>";
echo "<pre>";
var_dump($ner->getErrors());
echo "</pre>";
echo "<h3>Results</h3>";
echo "<pre>";
var_dump($result);
echo "</pre>";
?>
</body>
</html>
function run($text)
{
// The following appear in some Wikipedia texts and mess up the parsing:
$textsToRemove = ["<br>", "</table>", "</dl>", "</ref>", "<ns>", "</ns>", "<id>", "</id>", "<small>", "<revision>", "<comment>", "</comment>", "<model>", "</model>", "<parentid>", "</parentid>"];
$text = str_replace($textsToRemove, "", $text);
$currentDir = getcwd();
// needed for absolute paths to Stanford models
$termArray = new TermArray();
$startTime = microtime(true);
if (!function_exists("splitIntoWords")) {
// The POS and NER taggers need an array of arrays, where each sentence is
// it's own array.
function splitIntoWords($sentence)
{
return explode(' ', $sentence);
}
}
$text_arrays = array_map("splitIntoWords", explode('.', $text));
// Send the text to the POS tagger:
$pos = new \StanfordNLP\POSTagger($currentDir . '/stanford-postagger-2015-04-20/models/english-left3words-distsim.tagger', $currentDir . '/stanford-postagger-2015-04-20/stanford-postagger.jar');
$startTime = microtime(true);
$resultPOS = $pos->batchTag($text_arrays)[0];
$this->times["Run the POS tagger"] = microtime(true) - $startTime;
if (printOutput()) {
echo "<br>POS results:<br>";
var_dump($resultPOS);
echo "<br>";
}
if (!$resultPOS) {
echo "<br>ERROR: POS tagging failed<br>";
return false;
}
// Send the text to the NER:
$ner = new \StanfordNLP\NERTagger($currentDir . '/stanford-ner-2015-04-20/classifiers/english.all.3class.distsim.crf.ser.gz', $currentDir . '/stanford-ner-2015-04-20/stanford-ner.jar');
$startTime = microtime(true);
$resultNER = $ner->batchTag($text_arrays)[0];
$this->times["Run the NER tagger"] = microtime(true) - $startTime;
if (printOutput()) {
echo "<br>NER results:<br>";
var_dump($resultNER);
echo "<br><br>";
}
if (!$resultNER) {
echo "<br>ERROR: NER tagging failed<br>";
return false;
}
// Later code assumes that $resultPOS and $resultNER are indexed identically.
// I have only seen these errors returned when the text contains something like
// "<br>" which is handled differently by each tagger
if (count($resultPOS) != count($resultNER)) {
echo "<br>ERROR: POS and NER tagging are not indexed the same!<br>";
return false;
}
$words = [];
for ($i = 0, $size = count($resultNER); $i < $size; $i++) {
if ($resultPOS[$i][0] != $resultNER[$i][0]) {
echo "<br>ERROR: POS and NER tagging are not indexed the same!<br>";
return false;
}
$words[$i] = $resultNER[$i][0];
}
// The next bunch of code loops through the text to find all terms
$startTime = microtime(true);
$currentStreak = 0;
$streakContainsLocation = false;
$streakContainsNoun = false;
$isAfterPreposition = false;
$isAfterConjunction = false;
for ($i = 0, $size = count($resultPOS); $i < $size; $i++) {
$isNoun = strncmp($resultPOS[$i][1], "NN", 2) == 0;
$isAdjectiveOrNumber = (strcmp($resultPOS[$i][1], "CD") == 0 or strcmp($resultPOS[$i][1], "JJ") == 0);
// adjective (so "first avenue" would catch the first)
$isLocation = strcmp($resultNER[$i][1], "LOCATION") == 0;
if ($isNoun or $isAdjectiveOrNumber or $isLocation) {
$currentStreak++;
if ($isLocation) {
$streakContainsLocation = true;
}
if ($isNoun) {
$streakContainsNoun = true;
}
} else {
$streakContainsLocation = false;
$streakContainsNoun = false;
$currentStreak = 0;
$isAfterConjunction = strcmp($resultPOS[$i][1], "CC") == 0;
if (!$isAfterConjunction) {
// reset $isAfterPreposition only if this is not after a conjuction
// that way a text like "near Waterloo and Guelph" will tag both Waterloo
// and Guelph as after a preposition
$isAfterPreposition = (strcmp($resultPOS[$i][1], "IN") == 0 or strcmp($resultPOS[$i][1], "TO") == 0);
if (strcmp($resultPOS[$i][0], "for") == 0) {
// TODO: make this case insensitive?
$isAfterPreposition = false;
}
}
}
if ($streakContainsLocation or $streakContainsNoun) {
$phrase = $resultPOS[$i][0];
$subStreakContainsNoun = $isNoun;
$subStreakContainsLocation = $isLocation;
if ($isNoun or $isLocation) {
$newTerm = $termArray->addTerm($phrase, $i);
$newTerm->isNoun = $isNoun;
$newTerm->isLocation = $isLocation;
$newTerm->isAfterPreposition = $isAfterPreposition;
}
for ($j = 1; $j < $currentStreak; $j++) {
$phrase = $resultPOS[$i - $j][0] . ' ' . $phrase;
$subStreakContainsNoun = ($subStreakContainsNoun or strncmp($resultPOS[$i - $j][1], "NN", 2) == 0);
$subStreakContainsLocation = ($subStreakContainsLocation or strcmp($resultNER[$i - $j][1], "LOCATION") == 0);
if ($subStreakContainsLocation or $subStreakContainsNoun) {
$newTerm = $termArray->addTerm($phrase, $i - $j);
$newTerm->isNoun = $subStreakContainsNoun;
$newTerm->isLocation = $subStreakContainsLocation;
$newTerm->isAfterPreposition = $isAfterPreposition;
}
}
}
}
$this->times["Loop through text to find locations"] = microtime(true) - $startTime;
// Now we remove some terms from the array:
$startTime = microtime(true);
if ($termArray->terms) {
if ($termArray->countLocations() > 0) {
if (printOutput()) {
echo "<br>This text contains words tagged as locations, so we will only consider those words.<br>";
}
$termArray->removeNouns(false);
$this->termTypeUsed = "Locations";
} else {
if (printOutput()) {
echo "<br>This text does not contain words tagged as locations, so we must only use nouns.<br>";
}
if ($termArray->countNounsAfterPrepositions() > 0) {
if (printOutput()) {
echo "Some nouns occured after prepositions, so we will only use those.<br>";
}
$termArray->removeNouns(true);
$this->termTypeUsed = "NounsAfterPrep";
} else {
$this->termTypeUsed = "Nouns";
}
}
} else {
echo "Warning: no nouns or locations found in text.";
$this->termTypeUsed = "None";
}
$this->times["Filter terms that are found"] = microtime(true) - $startTime;
// the rest of this code deals with postal codes
$startTime = microtime(true);
$CanadaPostCodes = [];
$USZipCodes = [];
$DutchPostCodes = [];
preg_match_all('/\\b[a-zA-Z][0-9][a-zA-Z][\\s]?[0-9][a-zA-Z][0-9]\\b/', $text, $CanadaPostCodes);
preg_match_all('/\\b[0-9]{5}([\\s\\-][0-9]{4})?\\b/', $text, $USZipCodes);
preg_match_all('/\\b[0-9]{4}[\\s]?[a-zA-Z]{2}\\b/', $text, $DutchPostCodes);
$this->times["Find postal codes in the text"] = microtime(true) - $startTime;
$startTime = microtime(true);
foreach ($CanadaPostCodes[0] as $postcode) {
if (isset($termArray->terms[$postcode])) {
// if the postcode already got in another way, we don't add it again
foreach ($termArray->terms[$postcode] as $term) {
$term->isPostcode = true;
$term->postcodeCountry = "ca";
}
} else {
$positions = [-10];
$postcodeWords = explode(" ", $postcode);
// all post codes have 1 or 2 words
$firstWordPositions = array_keys($words, $postcodeWords[0]);
if (count($postcodeWords) == 1) {
$positions = $firstWordPositions;
} else {
foreach ($firstWordPositions as $firstWordPosition) {
if ($words[$firstWordPosition + 1] == $postcodeWords[1]) {
if ($positions == [-10]) {
$positions = [$firstWordPosition];
} else {
$postions[] = $firstWordPosition;
}
}
}
}
foreach ($positions as $postcodePosition) {
$newTerm = $termArray->addTerm($postcode, $postcodePosition);
$newTerm->isPostcode = true;
$newTerm->postcodeCountry = "ca";
}
}
}
foreach ($USZipCodes[0] as $postcode) {
if (isset($termArray->terms[$postcode])) {
// if the postcode already got in another way, we don't add it again
foreach ($termArray->terms[$postcode] as $term) {
$term->isPostcode = true;
$term->postcodeCountry = "us";
}
} else {
$positions = [-10];
$postcodeWords = explode(" ", $postcode);
// all post codes have 1 or 2 words
$firstWordPositions = array_keys($words, $postcodeWords[0]);
if (count($postcodeWords) == 1) {
$positions = $firstWordPositions;
} else {
foreach ($firstWordPositions as $firstWordPosition) {
if ($words[$firstWordPosition + 1] == $postcodeWords[1]) {
if ($positions == [-10]) {
$positions = [$firstWordPosition];
} else {
$postions[] = $firstWordPosition;
}
}
}
}
foreach ($positions as $postcodePosition) {
$newTerm = $termArray->addTerm($postcode, $postcodePosition);
$newTerm->isPostcode = true;
$newTerm->postcodeCountry = "us";
}
}
}
foreach ($DutchPostCodes[0] as $postcode) {
if (isset($termArray->terms[$postcode])) {
// if the postcode already got in another way, we don't add it again
foreach ($termArray->terms[$postcode] as $term) {
$term->isPostcode = true;
$term->postcodeCountry = "nl";
}
} else {
$positions = [-10];
$postcodeWords = explode(" ", $postcode);
// all post codes have 1 or 2 words
$firstWordPositions = array_keys($words, $postcodeWords[0]);
if (count($postcodeWords) == 1) {
$positions = $firstWordPositions;
} else {
foreach ($firstWordPositions as $firstWordPosition) {
if ($words[$firstWordPosition + 1] == $postcodeWords[1]) {
if ($positions == [-10]) {
$positions = [$firstWordPosition];
} else {
$postions[] = $firstWordPosition;
}
}
}
}
foreach ($positions as $postcodePosition) {
$newTerm = $termArray->addTerm($postcode, $postcodePosition);
$newTerm->isPostcode = true;
$newTerm->postcodeCountry = "nl";
}
}
}
$this->times["Update metadata for post codes"] = microtime(true) - $startTime;
return $termArray;
}