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Kirrkirr: Software for the Flexible and Interactive Visualization of a Structured Warlpiri Dictionary. Christopher Manning Computer Science and Linguistics, Stanford University Kevin Jansz Linguistics, University of Sydney Nitin Indurkhya Applied Science, Nanyang Technological University - PowerPoint PPT Presentation
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Kirrkirr: Software for the Flexible and Interactive
Visualization of a Structured Warlpiri Dictionary
Christopher ManningComputer Science and Linguistics, Stanford University
Kevin Jansz Linguistics, University of Sydney
Nitin IndurkhyaApplied Science, Nanyang Technological University
http://www.sultry.arts.usyd.edu.au/kirrkirr/
Research Program: Lexicon A language is more than individual words with a
definition– it is a vast network of associations between words and
within and across the concepts represented by words
The aim of this work is to provide a wide variety of users – not just linguists – with a better understanding of this conceptual map.
Traditional paper dictionaries offer very limited ways for making such networks visible
On a computer, there are no such limitations to the way information can be displayed.
Research: Computational Lexicography
Dictionaries on computers are now commonplace– But there has been little attempt to utilise the potential of the
new medium– Most present a plain, search-oriented representation of the
paper version
Goal: fun dictionary tools that are effective for browsing and language learning (cf. Kegl 1995)– Like flicking through a paper dictionary, but better– Innovative ways for representing and linking dictionary
information, through creative use of computer software– Should improve user supports and incidental learning
Focus: exploration/dissemination, not creation
Initial focus: Warlpiri Warlpiri is an Australian Aboriginal language spoken
in the Tanami desert (NW of Alice Springs) There are a number of factors influencing this choice:
– Rich lexical materials have been collected by linguists over decades (Ken Hale, MIT, from 1950s, Simpson, Nash, Laughren, Hoogenraad) resulting in the most comprehensive lexical databases for any Australian Language
– Warlpiri is the first language of a relatively large community of people. There is reasonable vernacular literacy
– Until now, results haven’t been produced in a format usable by the community (only raw printouts) – which is not really acceptable. Fixing this is also good science: for subtle linguistic judgments, one needs speaker involvement.
Educational goals Dictionary structure and usability are often dictated
by professional linguists, while the needs of others (speakers, semi-speakers, young users, second language learners) are not met. Focus: school kids.
The low level of literacy in the region makes an e-dictionary potentially more useful than a paper edition
• less dependent on good knowledge of spelling and alphabetical order. • builds on captivating qualities of computers• multimedia content and the pronunciations of words is a considerable help as well.
Kirrkirr: A Warlpiri dictionary browser
(Jansz 1998; Jansz, Manning and Indurkhya 1999)
An environment for the interactive exploration of dictionaries.
Although our current work has just been with Warlpiri, the design is general – any XML dictionary
Attempts to more fully utilise graphical interfaces, hypertext, multimedia, and different ways of indexing and accessing information
Written in Java, it can either be run over the web (needs bandwidth) or locally (here Java’s main advantage is cross-platform support: Win/Mac/Unix)– originally JDK1.1.6+Swing, now Java 2
Overview
Kirrkirr provides various modules Animated network layout of word relationships Formatted dictionary entries Semantic domains display A notes facility for ‘jotting in the margin’ annotations Multimedia: audio, pictures Advanced searching interfaces
others in planning: formatting (XSL) editing, figuration patterns, semantic domain browsing, terminology sets
These attempt to cater to users with different interests and competence levels
The lexical database Original text materials are stored in an ad hoc format
of markup using backslash codes with some (rather odd) nesting of structural tags [origin: runoff]
These are converted to XML using an error-correcting stack-based parser (written in PERL)– The inconsistency and flexibility of dictionary entries actually
made this a surprisingly difficult task.– Innumerable structural errors/inconsistencies/typos from
years of hand maintenance in text editors and via regexps– Heuristic content-sensitive parser imposes data integrity
XML gives data an explicit, manipulable structure Result remains a portable text file
<DICTIONARY>
<ENTRY>...</ENTRY>
<ENTRY>...</ENTRY>
<ENTRY>...</ENTRY>
</DICTIONARY>
headword file positionheadword file positionheadword file position
XML Formatted Warlpiri dictionary file
Index in Memory
Across file system or web
Kirrkirr’s XML Index Process
KirrkirrDictionary Browser
XML Parser
XML Document Object
XSL file+
XSL Processor
HTML document
XML Indexing We are currently using ad hoc indexing of one large
XML file This gives adequate speed/memory use, but requires
a modified XML parser to extract and parse 1 entry We have also experimented with an XQL version
using a PDOM (GMD-IPSI): more flexible, but slower Parsed entries are cached
Performance - Startup time Impact on Startup time [200 MHz Pentium]:
Method Size of File Startup time XML + index Index: 2.13Mb 7min
One-PDOM PDOM: 12.5Mb 13min 4s
One-PDOM + Index PDOM: 12.5Mb Index: 520Kb
3min 30s
Segmented PDOM + Index
PDOM: 12.5Mb Index: 454Kb
55.48s
XML + Optimised index
Index: 481Kb 46s
Visualization of dictionary information
For dictionaries with simple textual content behind them, there is little that can be done but an on-line reflection of a printed page
But we would like to be able to do more– we want to know a word’s relationships to other words, and
the patterning in these relationships
In a computational approach, the program can mediate between lexical data and the user
The interface can select from and choose how to present information (according to the user’s preferences and abilities) – in many different ways
Perils of visualisation
Graph-based visualisation
(Jansz 1998; Jansz, Manning and Indurkhya 1999)
Classic graph layout problem Adapts work by Eades et al. (1998) and Huang et al.
(1998) on visualisation and navigation of WWW document linkages
Uses the spring algorithm. Big advantage is that it is an iterative updating algorithm, and so gives an easy interactivity:– it wiggles and people can play with it, clicking to sprout nodes
A major goal was clarity and simplicity of the graph: the software maintains a set of focus nodes to prevent overcrowding
Kirrkirr network display
Formatted dictionary entries Are produced automatically and online from the XML
by using XSLT – a tree transformation language XSL allows easy modelling of some user preferences One can leave out information such as part of
speech, or detailed definitions, or rearrange it We provide several stylesheets to choose from This issue is surprisingly important: many users find
information overload confusing and demotivating Can produce a bilingual or monolingual dictionary Can also use this for print dictionaries (via RTF or
TeX). We have produced a couple of samples.
Formatted dictionary entries
Rich typology of link types The semantic links present in a dictionary (synonym,
antonym, hyponym, subentry, variant, coverbs, …) solve a major problem of the web: we have many link types each with a clear semantic interpretation
We use consistent colour-coding of text and network edges to show these link types
Gives a richer browsing experience You can tell where you are going before clicking Dictionary-given links are supplemented by links
derived from collocational analysis of Warlpiri texts– uses loglikelihood ratios (Dunning 1993)– works reasonably successfully from 1/4 million words
Semantic domain browsing A common
request of teachers and users is to view words via semantic domains
Educational advantages/usability Work (at PARC and elsewhere: Pirolli et al. 1996)
has stressed the role for browsing as well as searching in information access
It provides a context for learning A student can opportunistically explore words that are
related in various ways Important semantic relationships can be understood
People continually see alphabetical order and word spellings, but don’t need to know them to use Kirrkirr
Use of “fuzzy spelling” in searches supports users with poor spelling. It usually finds what you wanted.
Other components Multimedia (currently pictures and audio)
– Can hear pronunciations – gives a much better understanding of pronunciation than phonetic symbols
– pictures of plants and animals are more intelligible than descriptions
– (future: videos of Warlpiri sign language …)
Advanced search page– search various fields,
regular expressions, fuzzy spelling, etc.
Notes:– one can annotate dictionary
entries (to correct or personalise)
Interim Conclusions Kirrkirr is a prototype of what one can do to develop
new ways to organize and visualize lexicons We have addressed the challenge of making
dictionary information accessible and usable in the creation of an application which mediates between well-structured data and users’ needs and insights in searching/browsing and presentation
The interface has this year started being regularly used in Warlpiri schools – one school at the moment, hopefully more to follow soon:– “Look it up on that thing!”
Kirrkirr: Software for the Flexible and Interactive
Visualization of a Structured Warlpiri Dictionary
Christopher ManningComputer Science and Linguistics, Stanford University
Kevin Jansz Linguistics, University of Sydney
Nitin IndurkhyaApplied Science, Nanyang Technological University
http://www.sultry.arts.usyd.edu.au/kirrkirr/