diff --git a/app/templates/main/manual/_06_services.html.j2 b/app/templates/main/manual/_06_services.html.j2
index 701e6c80..fcb986e3 100644
--- a/app/templates/main/manual/_06_services.html.j2
+++ b/app/templates/main/manual/_06_services.html.j2
@@ -1,4 +1,4 @@
-
Services
+
Services
@@ -19,7 +19,7 @@
-File Setup
+File Setup
The File Setup Service bundles image data, such as scans and photos,
together in a handy PDF file. To use this service, use the job form to
@@ -34,16 +34,16 @@
sorted in ascending order by file name.
-
Optical Character Recognition (OCR)
+
Optical Character Recognition (OCR)
Comming soon...
-
Handwritten Text Recognition (HTR)
+
Handwritten Text Recognition (HTR)
Comming soon...
-
Natural Language Processing (NLP)
+
Natural Language Processing (NLP)
Comming soon...
-
Corpus Analysis
+
Corpus Analysis
With the corpus analysis service, it is possible to create a text corpus
and then explore it in an analysis session. The analysis session is realized
diff --git a/app/templates/main/manual/_07_a_closer_look_at_the_corpus_analysis.html.j2 b/app/templates/main/manual/_07_a_closer_look_at_the_corpus_analysis.html.j2
index a2c2732c..b2a500c8 100644
--- a/app/templates/main/manual/_07_a_closer_look_at_the_corpus_analysis.html.j2
+++ b/app/templates/main/manual/_07_a_closer_look_at_the_corpus_analysis.html.j2
@@ -1,5 +1,5 @@
-
A closer look at the Corpus Analysis
-
Create a corpus
+
A closer look at the Corpus Analysis
+
Create a corpus
@@ -32,7 +32,7 @@
-
Analyze a corpus
+
Analyze a corpus
After you have created and built a corpus, it can be analyzed. To do this,
use the button labeled Analyze. The corpus analysis currently offers two
diff --git a/app/templates/main/manual/_08_cqp_query_language.html.j2 b/app/templates/main/manual/_08_cqp_query_language.html.j2
index 0af61dd6..9069d495 100644
--- a/app/templates/main/manual/_08_cqp_query_language.html.j2
+++ b/app/templates/main/manual/_08_cqp_query_language.html.j2
@@ -1,4 +1,4 @@
-
CQP Query Language
+
CQP Query Language
Within the Corpus Query Language, a distinction is made between two types of annotations: positional attributes and structural attributes. Positional attributes refer to a token, e.g. the word "book" is assigned the part-of-speech tag "NN", the lemma "book" and the simplified part-of-speech tag "NOUN" within the token structure. Structural attributes refer to text structure-giving elements such as sentence and entity markup. For example, the markup of a sentence is represented in the background as follows:
@@ -13,7 +13,7 @@
-
Positional attributes
+
Positional attributes
Before you can start searching for positional attributes (also called tokens), it is necessary to know what properties they contain.
- word: The string as it is also found in the original text
@@ -33,7 +33,7 @@
-
Searching for positional attributes
+
Searching for positional attributes
Token with no condition on any property (also called wildcard token)
@@ -118,7 +118,7 @@
^ ^ the braces indicate the start and end of an option group
-
Structural attributes
+
Structural attributes
nopaque provides several structural attributes for query. A distinction is made between attributes with and without value.
- s: Annotates a sentence
@@ -153,7 +153,7 @@
-
Searching for structural attributes
+
Searching for structural attributes
<ent> [] </ent>; A one token long entity of any type
<ent_type="PERSON"> [] </ent_type>; A one token long entity of type PERSON
<ent_type="PERSON"> []* </ent_type>; Entity of any length of type PERSON