Unsupervised Learning of Morphology and the Languages of the World
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Abstract
This thesis presents work in two areas; Language Technology and Linguistic
Typology.
In the field of Language Technology, a specific problem is addressed: Can a
computer extract a description of word conjugation in a natural language using
only written text in the language? The problem is often referred to as Unsupervised
Learning of Morphology and has a variety of applications, including
Machine Translation, Document Categorization and Information Retrieval. The
problem is also relevant for linguistic theory. We give a comprehensive survey
of work done so far on the problem and then describe a new approach to the
problem as well as a number of applications. The idea is that concatenative
affixation, i.e., how stems and affixes are stringed together to form words, can,
with some success, be modelled simplistically. Essentially, words consist of highfrequency
strings (“affixes”) attached to low-frequency strings (“stems”), e.g.,
as in the English play-ing. Case studies show how this naive model can be used
for stemming, language identification and bootstrapping language description.
There are around 7 000 languages in the world, exhibiting a bewildering
structural diversity. Linguistic Typology is the subfield of linguistics that aíms
to understand this diversity. Many of the languages in the world today are
spoken only by relatively small groups of people and are threatened by extinction
and it is therefore a priority to record them. Language documentation, is and
has been, an extremely decentralised activity, carried out not only by linguists,
but also missionaries, travellers, anthropologists etc foremostly throughout the
past 200 years. There is no central record of which and how many languages have
been described. To meet the priority, we have attempted to list those languages
which are the most poorly described which do not belong to a language family
where some other languages is decently described – a task requiring both analysis
and diligence. Next, the thesis includes typological work on one of the more
tractable aspects of language structure, namely numeral systems, i.e., normed
expressions used to denote exact quantities. In one of the first surveys to cover
the whole world, we look at rare number bases among numeral systems. One
major rarity is base-6-36 systems which are only attested in South/Southwest
New Guinea and we make a special inquiry into its emergence.
Traditionally, linguists have had headaches over what counts as a language
as opposed to a dialect, and have therefore been reluctant to give counts of the
number of languages in a given area. One chapter of the present thesis shows
that, contrary to popular belief, there is an intuitively sound way to count
languages (as opposed to dialects). The only requirement is that, for each pair
of varieties, we are told whether they are mutually intelligible or not.
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Keywords
Computational Linguistics, Language typology