PDF zum Download der ersten Übung.
Der letzte Semonides-Vers enthält eine Mittelzäsur, was laut der vorgebrachten Theorie bei den Jambographen eigentlich gemieden wird. Dazu wäre ein Kommentar gut. Vielleicht sollte man aus didaktischen Gründen auch ein anderes Beispiel nehmen,
○ ○ ‒ ⏑ ⏑ ‒ ‒ ⏑ ⏑ ‒ ‒ ⏑ ⏑ ‒ ⏓
im Schema fehlt die vorletzte kurze Silbe (hier fälschlich 15 statt 16 Silben)
Interessierte können ausserdem die Lesung des ersten Buchs der Ilias von Prof. Stanley Lombardo vergleichen, die mir dieser freundlicherweise zum Herunterladen zur Verfügung gestellt hat.
eher freie moderne Interpretation
Können Sie auch Capt. 507b (… domum, postquam id actum est) metrisch beschreiben?
verwirrende Aufgabenstellung, weil vom Bakcheus bisher nicht die Rede war und man natürlicherweise versucht, den Vers jambisch aufzulösen
Was ist allerdings besonders daran (Hilfe aus dem Wörterbuch: īlĭcō)?
ich kann keine Besonderheit finden
strophenartig
vgl. oben
Strophe
hier unpassender Begriff; "das ganze aus entsprechenden Zweizeilern/Distichen bestehende Gedicht"
Satiren
missverständlich: Genre der (hexametrischen) Satire kann hier nicht gemeint sein; ist satirische Lyrik gemeint?
(bzw. katalektischen daktylischen Trimeter)
metrisch (-vv -vv –x) nicht dasselbe wie ein Hemiepes (-vv -vv x)! vgl. Unterschied im Schema von
Vebindung
Verbindung
Nach antiker Metriklehre gab es nur die Zäsuren Penthemimeres, Kata triton trochaion, Hephthemimeres und die bukolische Diärese
nicht so klar; bei Hephaistion scheint die Trithemimeres der Sache nach schon beschrieben
Hiat (vgl. Kapitel 2.7) wurde an solchen Stellen hingegen gemieden
widerspricht dem Beispiel Verg. georg. 1,4 auf https://www.fabianzogg.ch/latmetrik/017_hiat.html, und wird Hiat nicht generell (in der Tendenz) vermieden?
Im klassischen Latein ist dieses hŏc eigentlich kurz
bleibt es nicht regelhaft lang?
(oder mit konsonantischem i und Längung der Silbe davor: Ĭtāljă)
wo kommt das vor?
erst gegen Ende des 2. Jh. n. Chr.
Iktus aber doch wohl deutlich später?
have
have been?
basic
basics
meta data
metadata
Seven
Six - https://en.wikipedia.org/wiki/Six_Degrees_of_Kevin_Bacon
add
added
let’s
lets
Force in network theory is the direction of movement between two nodes.
"force" and "direction" mixed up
wee
we
If you don’t know what the block of code above does, please do not be concerned. We will not be dealing with Pandas in this textbook. If you are interested in Pandas, though, I have a free textbook on it entitled Introduction to Pandas
cut
2.2. Getting Started with BookNLP
BookNLP apparently incompatible with newer Python versions and libraries. Works under Python 3.9 and NumPy 1.26.4.
.readers
?
a
of a
while newer transformer-based models, such as BERT, have a larger memory and can look forwards and backwards, the size of the input they can take in is only 512 words
outdated
Germran
German
dominate
dominant
number
cut
with the model .get_topic_sizes()
with model.get_topic_sizes()
away
away from
langauge
language
3
4.1.6–7
2
4.1.4–5
2
4.1.4–5
date
data
approach
the approach
keys
keys:
Often times
Oftentimes
toponym
homonym
toponyms
homonyms
nlp = spacy.load("en_core_web_sm")
A blank English pipeline would be nlp_blank = spacy.blank("en")
to
in
Toponyms
Here and throughout confusion with "homonyms".
preven
prevent
considersations
considerations
extracted
extracts
first
second
When searching the USHMM collections, one way to limit your search is by Key Camps (https://www.ushmm.org/). This list looks like this:
unclear where on the website this list can be found
necessary
necessarily
This is a problem that can be rectified with spaCy’s filter_spans. This gives primacy to longer spans. Notice how we have allowed the Paul Hollywood entity to be a PERSON, rather than CINEMA. This is because Hollywood is shorter than Paul Hollywood.
Actual solution missing:
goingg
going
an
a
in 01.03: Rules-Based NER
3.2.2 The Matcher
3x
3
In the next notebook, we will examine other methods.
Seem like an empty reference.
this textbook
The main example of this Part
*
|
straight forward
straightforward
It
In (and wouldn't a domain expert be needed in the development of any search strategy?)
as
at
tel
tell
.
cut
can
it can
a
as a
arguments
keywords
Voldemorte
Voldemort
Voldemorte
Voldemort
Notice now that our EntityRuler is functioning before the “ner” pipe and is, therefore, prefinding entities and labeling them before the NER gets to them. Because it comes earlier in the pipeline, its metadata holds primacy over the later “ner” pipe.
The whole point about sequence and precedence is erroneous. The solution the author has in mind (despite the contradictory phrasing and code) seems to be to put the entity_ruler BEFORE ner. Although this works here, it is NOT deterministic and NOT the standard way of solving the problem.
overwrite_ents to True in a configuration argument.
E.g. ruler = nlp.add_pipe("entity_ruler", config={"overwrite_ents": True})to
failure to?
expiremnet
experiment
We have already met the Matcher in 01.03: Rules-Based Matching.
Have we? I don’t think so.
with
will
Often times
Oftentimes
Often times
Oftentimes
Below is a complete list of the AttributeRuler pipes available to you from spaCy and the Matchers. 1.3.1.1. Attribute Rulers
This is confusing: AttributeRuler is a pipe like all the others listed under "Attribute Rulers", and the plural "Attribute Rulers" does not make any sense here. Correct: "Below is a complete list of the standard pipes and matchers from spaCy (a matcher "just" finds patterns and does not tag or manipulate data in the same way as pipes)." 1.3.1.1 Standard Pipes - AttributeRuler - DependencyParser - etc.
Dependency Parser
DependencyParser
Morpholog
Morphologizer
As we have seen, spaCy offers both heuristic (rules-based) and machine learning natural language processing solutions.
We haven't seen this before.
I spoke about NER in the last notebook.
cut
.
cut
where as
whereas
to
cut
Verbatim text content. -spaCy docs
Refers to the spaCy documentation, as at https://spacy.io/api/token
blongs
belongs
span
token
neeed
need
Token
Not a "container" but an object contained by containers.
thee
the
then
cut
As we will see in the next few chapters
Will we really return to this topic?
has
have
that we met earlier in this textbook
We haven't met this function before.
often times
oftentimes
straight forward
straightforward
a
as a?
easily
easy
two other methods
.plot is an attribute rather than a method
virdis
viridis
DataFramee
DataFrame
a
are a
Parts 1 and 2
chs. 1-3
Part 3 of this textbook
ch. 4 of Pandas
We can try and use pd.set_option()
This is left unexplained and unused.
and the Survived Column. Remember, if a person survived, they have a 1; if they did not, they have a 0. We can use the sum to know how many male vs. female survivors there were.
somewhat confusing given that the Survived column is not even included in the example
While this
This
rows
columns
known the quantity of column
knowing the quantity of a
grouby
groupby
rows
columns
pipe
misleading, since there is no functional parallel to the pipe symbol (|) as known e.g. from Shell commands; in Pandas, | is instead an OR operator
.
?
off
of
rows 5-20
6–20, or indices 5–19
eliminate
select
look ups
lookups
.
?
firsit
first
often times
oftentimes [here and always]
.uniques()
.unique()
the len function that we met in chapter 02_02
in fact the len function has not been introduced before (phrase is cut in print edition)
as bs4
not under the name of the library but as bs4
Viola
Voilà
the internet links a specific and unique address that can be used as a way to connect to a server without having to type out an IP address
i.e. URLs are used instead of IP addresses
. O
, o
will
pull?
server
a server
the same command
the same command (without “!”)
the
cut
thin
then
Chrome and Firefox
e.g. Chrome and Firefox
Selinium
Selenium
Selinium
Selenium
Selinium
Selenium
Selinium
Selenium
eXstensible
eXtensible
We can likewise do the same in reverse by grabbing all indices up to the first index. In other words, the item in index 0.
Unclear: "all indices up to the first index" can only refer to the single index 0. This is nonsensical phrasing. - If it is meant that we can grab all indices from the beginning of a list up to certain index then the example should be e.g. print (first_list[:2]) and the description should be changed accordingly. - If it is meant that we can grab indexes from behind (from right to left) up to the first index (being 0), the example/syntax given is wrong. Then it should be print (first_list[::-1]. This seems more likely given that the description would make sense as it stands and the mistake would just concern two signs in the example. But the concept of slice notation should be better introduced then.
three
two
diffult
difficult
what
that
command
function
glob class
glob function (as part of the glob module/library)
is
it
operator
statement
with
cut
operator
file?
operator
keyword (or "statement", as in print edition)
with operator
open function
operator
keyword (or "statement", as in print edition)
command
function
operator
keyword
If you open the terminal and you type “pip –version”.
sentence?
something
as something
f string
not explained before
a new class
a new instance of the Emperor class / an Emperor object
viola
voilà
After the class name, we have ().
cut
with
will
Keyword Argument
Default parameter and keyword argument
keyword argument
default parameter
argument
parameter
us
is
10
9
stoping
stopping
they most
they are most
Viola
Voilà
Pseduo
Pseudo
psudeo
pseudo
Tricket
Trinket
3
2
two
to
2%7
7%2
2//7
7//2
two
cut
parentheses
comma
This is a way you can easily identify a method (as opposed to a function).
refers only to "coming after the string"