| % content main => begin |
| |
| %# Store the id of an active section in the session, so the system is able to directly scroll to the relevant section |
| %# This should be stored when clicking on a specific query |
| %# but the remembered section contains the id - not the query |
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| <h2>KorAP-Tutorial</h2> |
| |
| <!-- |
| <p>Links to Blog, FAQ, About, Contact ...</p> |
| <ul> |
| <li>Introduction to KorAP</li> |
| <li>How to use Poliqarp+ QL?</li> |
| <li>How to use Cosmas-II QL?</li> |
| <li>How to use CQL?</li> |
| <li>API</li> |
| <li>Search</li> |
| </ul> |
| --> |
| |
| <section name="intro"> |
| <h3>Example Queries</h3> |
| %# <p>This is a Tutorial to KorAP. It may be maintained separately (as a Wiki?) and has some nice features - like embedded example queries - just click on the queries below:</p> |
| |
| <p><strong>Poliqarp</strong>: Find all occurrences of the lemma "baum" as annotated by the default foundry.</p> |
| %= korap_tut_query poliqarp => '[base=baum]' |
| |
| <p><strong>Cosmas-II</strong>: Find all occurrences of the words "der" and "Baum", in case they are in a maximum distance of 5 tokens. The order is not relevant.</p> |
| %= korap_tut_query cosmas2 => 'der /w5 Baum' |
| |
| |
| <p><strong>Poliqarp+</strong>: Find all nominal phrases as annotated using Connexor, that contain an adverb as annotated by OpenNLP.</p> |
| %= korap_tut_query poliqarp => 'contains(<cnx/c=np>,[opennlp/p=ADV])' |
| |
| <p><strong>Poliqarp+</strong>: Find all sentences as annotated by the base foundry that start with a sequence of one token in present tense as annotated by Connexor and the lemma "der" annotated by the default foundry. Highlight both terms of the sequence.</p> |
| %= korap_tut_query poliqarp => 'startswith(<s>, {1:[cnx/m=PRES]}{2:[base=der]})' |
| |
| |
| %# <p>And here is a short cheat sheet for foundries and layers</p> |
| </section> |
| |
| <section name="cheatsheet"> |
| <h3>Cheatsheet</h3> |
| <ul> |
| <li><strong>base</strong> |
| <ul> |
| <li>Supports two types of spans: <strong><s></strong> for sentences and <strong><p></strong> for paragraphs - this will likely change in the next index version. These spans lack prefix information!</li> |
| </ul> |
| </li> |
| <li><strong>cnx</strong> |
| <ul> |
| <li><strong>l</strong> (Token:Lemma): All lemmas are written in lower case. Composita are split, e.g. the token "Leitfähigkeit" is matched by the lemmas "leit" and "fähigkeit" - not by the lemma "leitfähigkeit"</li> |
| <li><strong>p</strong> (Token:Part of Speech): All pos infos are written in capital letters and are based on STTS</li> |
| <li><strong>syn</strong> (Token:Syntactical information): Includes token based information like @PREMOD, @NH, @MAIN ...</li> |
| <li><strong>m</strong> (Token:Morphosyntactical information): Includes information about tense ("PRES" ...), mode ("IND&qut;), number ("PL" ...) etc.</li> |
| <li><strong>c</strong> (Span:Phrases): Only nominal phrases are available and all nominal phrases are written in lower case ("np")</li> |
| </ul> |
| </li> |
| <li><strong>corenlp</strong> |
| <ul> |
| <li><strong>ne_hgc_175m_600</strong> (Token:Named Entity): Contains named entities like "I-PER", "I-ORG" etc. </li> |
| <li><strong>ne_dewac_175_175m_600</strong> (Token:Named Entity): see above</li> |
| </ul> |
| </li> |
| <li><strong>tt</strong> |
| <ul> |
| <li><strong>l</strong> (Token:Lemma): All non-noun lemmas are written in lower case, nouns are written upper case. Composita stay intact (e.g. "Normalbedingung")</li> |
| <li><strong>p</strong> (Token:Part of Speech): All pos infos are written in capital letters and are based on STTS</li> |
| </ul> |
| </li> |
| <li><strong>mate</strong> |
| <ul> |
| <li><strong>l</strong> (Token:Lemma): All lemmas are written in lower case. Composita stay intact (e.g. "buchstabenbezeichnung")</li> |
| <li><strong>p</strong> (Token:Part of Speech): All pos infos are written in capital letters and are based on STTS</li> |
| <li><strong>m</strong> (Token:Morphosyntactical information): Includes information about tense ("tense:pres" ...), mode ("mood:ind&qut;), number ("number:pl" ...), gender ("gender:masc" etc.</li> |
| </ul> |
| </li> |
| <li><strong>opennlp</strong> |
| <ul> |
| <li><strong>p</strong> (Token:Part of Speech): All pos infos are written in capital letters and are based on STTS</li> |
| </ul> |
| </li> |
| <li><strong>xip</strong> |
| <ul> |
| <li><strong>l</strong> (Token:Lemma): All non-noun lemmas are written in lower case, nouns are written upper case. Composita are split, e.g. the token "Leitfähigkeit" is matched by the lemmas "leiten" and "Fähigkeit" - and by a merged and pretty useless "leitenfähigkeit" (This is going to change)</li> |
| <li><strong>p</strong> (Token:Part of Speech): All pos infos are written in capital letters and are based on STTS</li> |
| <li><strong>c</strong> (Span:Phrases): Some phrases to create sentences, all upper case ("NP", "NPA", "NOUN", "VERB", "PREP", "AP" ...)</li> |
| </ul> |
| </li> |
| </ul> |
| </section> |
| |
| % end |