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This paper discusses Labanatory
software. It will illustrate how the program operates in practice and how a
researcher or student can use the software to examine dance texts.
You can find all the related papers published to date on
www.labanatory.com.
The software design and development started in 1998 on the basis of the ideas
of János Fügedi and Gábor Misi.
The first version was presented in Hungary in 2002.
Its main features
were presented in the USA in 2004.
According to periodical
Applications of
Computers to Dance, 2005
, it is the only application
that is capable of notation retrieval
.
Before the practical presentation I would like to clarify three
concepts.
Form analysis means that we want to analyze the form of the dance, which is
the visible surface of the movement.
Formal analysis means that we apply a
form analysis using formal methods that use the notation strictly. These
methods were introduced in mathematics first, and in linguistics in the 50s.
Computer-aided analysis uses software that has the capability to examine
pattern matches formally. The precondition of computer-aided analysis is that
the dance is notated and the notation is digitized.
At the beginning of the Labanatory
development, we chose AutoCAD as a base software and the Labanotation symbols
data are stored as AutoCAD blocks.
Search algorithms on Labanotation
require the creation of an algebraic model and a digital data structure that
allows the execution of all searches expected by Labanotation users. A matrix
representation was created that allows pattern search not only at a graphic
but also at a quasi-syntactic level. The user can execute queries for
symmetric or augmented matches, that is queries that are typically required in
the analysis of traditional dances.
The user interface includes commands,
menus, toolbars and hot keys, similarly to the standard AutoCAD
interface.
The dance example to
analyze is a Transylvanian male solo dance. Three periods
of the dance have been simplified to create this corpus.
If you are not familiar with dance notation, a few remarks about
Labanotation. Similarly to music notation,
Labanotation uses staves. The staves consist of three
lines and run vertically. The score is read from the bottom to the top, indicating timing. The body parts are indicated horizontally, the
left-side body parts are placed on the left, the
right-side body parts on the right.
The purpose in
an analysis is to discover recurring notation patterns and to cover as many parts of the notation as possible.
In this example, there are clearly identifiable recurring patterns,
and if I perform the dance I am sure you can recognize
the recurring movements.
----
The process of how the
query patterns were constructed is presented in this Figure.
The patterns are progressively more precise from left to right, and
they are increasing in length from the bottom to the
top.
The optimal query patterns were constructed
with intuition, in consideration of the layout of
signs, that is which signs occur together or alone. The evaluation of the previous search results and the feedback is important.
The queries were refined gradually with several tries, considering
the distribution of the hits also.
If a query is not
refined enough, and therefore the search result based on the formal pattern match is not good enough to mark all the hits, the
user can browse among the hits, and can mark them one
by one, deciding which should be interpreted as a
dance element.
Besides the search result-based
markers, this Figure shows some individual markers for
measures that have not been covered by searches, and an individual marker for a two-measure-long part that already had two
one-measure-long markers. This double marking shows
quite well how a longer dance element can be created
from two shorter ones, and reveals how they can be connected.
The general method of computer-aided
analysis is that the user constructs several queries, executes searches, and
evaluates the hits.
It is not necessary to insist on covering every beat
of the entire dance, and a few notation parts can be left unmarked.
On
the other hand it is not necessary to attach only one marker to any beat of
the notation; a beat can belong to various markers that overlap each other.
The frequency of the dance elements and the frequency of the connections
of the dance elements can be examined with appropriate search executions and
marker statistics. All these analytical examinations are supported by the
Labanatory software.
Computer-aided
dance analysis allows you to find the instances of a certain dance element
(the equivalent of lemma in corpus linguistics), examine its each variant
(type in corpus linguistics), and the environment of each variant. You can
study compound motifs (idioms and collocations in corpus
linguistics) by constructing new queries with concatenations of the related
queries.
A non-repeating dance part, where only one hit would be produced
by any search, is known as an invariant in ethnocoreology (Martin – Pesovár)
and as a hapax legomena, or hapax for short, in corpus
linguistics.
Using the terms lemma, type, hapax, idiom and collocation,
dance research and corpus linguistics could use common concepts. On the other
hand, dance research cannot adopt every method used in linguistics. The two
disciplines have different problems to solve. There is no written
word-separator in dance such as the space character used in corpus
linguistics.
The
approach of corpus linguistics and the use of software searches can be very effective in language teaching.
Corpus linguistics in language teaching would
allow students to research corpora themselves
directly, and not through the teacher’s filter.
Ideally, this would require appropriate corpora
that correspond to their level of knowledge
and learning objectives; software applications, computer labs, language teachers and motivated students who have good
computer skills.