- ..._Xy3.1
- Technically, a variable may begin with an underscore, but
such variables, said to be anonymous, have a very different
status than those which begin with a capital letter. The use of
anonymous variables is discussed later.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
- ...e_list,4.1
- Set values, like those employed in HPSG, are not
supported by ALE. In the categorial grammar in the appendix,
they are represented by lists and treated by attached procedures for
union and selection.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
- ...4.2
- In general, the amount of memory required to represent
types is proportional to the number of pairs of consistent types.
In the worst case, this is in the number of types.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
- ...4.3
- Using a typed version of the Martelli and Montanari (1982)
algorithm, which was adapted to cyclic structures by Jaffar (1984),
unification can be performed in what is known as quasi-linear time in
the size of the input structures, where in this case, quasi-linear in
is defined to be
, where
is the inverse of Ackermann's function, which will
never exceed 4 or 5 for structures that can be represented on existing
computers. There is also a factor in the complexity of unification
stemming from the type hierarchy and appropriateness conditions, which
we discuss below.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
- ...4.4
- The choice of totally well-typed structures was motivated by
the desire to represent feature structures as records at run-time,
without listing their features. Internally, a feature structure is
represented as a term of the form Tag-Sort(V1,...,VN) where Tag represents the token identity of the structure using a Prolog
variable, Sort is the type of structure, and V1 through
VN are the values of the appropriate features, in alphabetical
order of the features' names, which are themselves left implicit.
Furthermore, the Tag is used for forwarding and dereferencing
during unification.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
- ...4.5
- The only finite feature structures that could meet this type
system would have to be cyclic, as noted in Carpenter (1992). The
problem is that there is no most general such cyclic structure, so
type inference cannot be unique.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
- ...4.6
- In theory (Carpenter 1992), this set is only required to be
upward closed, which means that if
,
and subsumes , then
. This
relaxation of our requirement that extensional types be maximal
would actually not be too difficult to implement.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
- ...4.7
- This is given by the == operator in Prolog.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
- ...ALE4.8
- The life-span of a feature
structure in ALE is the period from its creation to the point
when the user command currently being executed finishes, unless
that feature structure is asserted as an edge in ALE's chart
parser. In this case, the life of the feature structure ends when the
edge is removed. Every new request for a parse to ALE removes
all of the current edges.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
- ...4.9
- This is because the depth of dereferencing depends on the
history of types a given structure is instantiated to. There is no
path compression on-line, but it is carried out before an edge is
asserted into the chart.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
- ...4.10
- Finding most general satisfiers for non-disjunctive
descriptions, even those involving type inference, is quasi-linear in
the size of the description. But it should be kept in mind that there
is also a factor of complexity determined by the size of the type
specification. In practice, this factor is proportional to how large
the inferred structure is. In general, the size of the inferred
structure is linear in the size of the description, with a constant
for the type specification.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
- ...4.11
- It corresponds so closely with non-determinism that
satisfiability of descriptions with disjunctions is -complete. Furthermore, the algorithm employed by ALE may
produce up to satisfiers for a description with
disjunctions.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
- ... rule4.12
- In the case of cats>, they are enforced after
the list description itself is matched, and also after every element
of the list is matched.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
- ...
structure-shared.4.13
- Recall that Prolog variables start with
an upper-case letter.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
- ... extensional.4.14
- An extensional type cannot
be copied and has to be structure-shared if it occurs more than once
in a feature structure. Extensional and intensional types are
discussed in ALE User's Guide.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
- ... University4.15
- Sections T4.2.2-T4.2.4 ©2003, W. Detmar
Meurers
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
- ...4.16
- This system was actually the precursor to ALE.
It implemented a completely reversible constraint-based
parser/generator with a weighting on the constraints based on their
maximal non-determinism. Re-ordering constraints, however, proved to
be insufficient for efficient parsing or generation, compared to a
uni-directional system such as ALE.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
- ...5.1
- Thus, additional cuts might be necessary to ensure
determinism, so that last call optimization is effective.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
- ...5.2
- As in Prolog, we refer to predicates by their name and
arity.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
- ...5.3
- Table look-ups involved in unification in ALE rely on
double hashing, once for the type of each structure being unified.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
- ...6.1
- Thus ALE's lexical rule system is not capable of
handling cases of partial suppletion, where both a regular and
irregular morphological form are both allowed. To allow two ouptut
forms, one must be coded by hand with its own lexical entry or a
separate lexical rule.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
- ...6.2
- By doubling the size of the BNF for rules, this
requirement could be expressed.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
- ...6.3
- In a future release, cuts will be allowed within
descriptions, to allow the user to eliminate disjunctive choice points
when possible.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
- ... University7.1
- ©2003, Vanessa Metcalf and Detmar Meurers
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
- ...A.1
- Earlier versions of ALE also permitted incremental
updating and retraction of empty categories. Because empty categories
are now closed under phrase structure rules at compile-time, this is
no longer possible.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
- ...B.1
- Actually, this example is a bit of an improvisation -- the
sample HPSG grammar included in the ALE distribution
does not use inequations.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
- ... structureD.1
- The reader is referred to the ALE User's Guide for the
structure of this representation.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
- ... UniversityE.1
- ©2003, W. Detmar Meurers
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.