GiellaLT

GiellaLT provides an infrastructure for rule-based language technology aimed at minority and indigenous languages, and streamlines building anything from keyboards to speech technology.

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WARNING!

This documentation is obsolete, and for the time being kept as reference. We now use vislcg3 (cf. separate documentation)

Introduction

“vislcg” is a constraint grammar parser, i.e., it is a program that selects the correct analysis in case of homonymy. The idea behind constraint grammars dates back to Fred Karlsson, as does its first version, CG-1, programmed in Lisp, the vislcg version presented here is Eckhardt Bick’s open source implementation of Pasi Tapanainen’s CG-2 (written in C). This document is taken from the downloadable vislcg version at sourceforge.

The VISL Constraint Grammer Parser “vislcg”

This document describes the similarities and differences between CG-2 and the vislcg Constraint Grammar parser. It is not, in its current form, intended as an introduction, tutorial, or reference to the CG formalism. Please refer to [Tapanainen, 1996]

Speed

vislcg is not designed for speed but performs reasonably well. On a Pentium II class PC, it disambiguates at about 1600 words per second using a morphological disambiguation grammar for Danish with about 1000 rules. This is about 16% the speed of CG-2 on the same platform, with the same rules and the same input.

SGML tags and comments

vislcg does not currently support SGML tags in the input stream.

Modules

There are no separate parsers for different approaches or behaviors. The behavior of the vislcg parser is controlled by command line parameters (flags).

Flags

The command vislcg –help will list all supported parameters and flags, and a brief description of each:

Sections of the rule file

The section headers are DELIMITERS, PREFERRED-TARGETS, SETS, CORRECTIONS, MAPPINGS, CONSTRAINTS, and END. The sections SETS, CORRECTIONS, MAPPINGS, and CONSTRAINTS may be repeated any number of times.

The CORRECTIONS section is a vislcg-specific extension of the CG formalism. See section 2.1.5a. ans 2.5a. for details.

The minimal set of sections in a rule file is:

DELIMITERS
CONSTRAINTS

or

DELIMITERS
MAPPINGS

or

DELIMITERS
CORRECTIONS

2.1.5a. Section: CORRECTIONS

The correction rules handle lexical or other errors by substituting some tags with others in readings or appending new readings to cohorts. All corrections are applied after mappings, but before constraints.

SUBSTITUTE

A SUBSTITUTE operation replaces tags with other tags in a reading.

General form:

“<wordform>” SUBSTITUTE (tag1 tag2 …) (tag3 tag4 …) TARGET (tag5 tag6 …) IF (context1) (context2) … ;

The first list of tags (tag1 tag2 …) is the list of tags to remove from the targetted reading. The second tag list (tag3 tag4 …) is the list of tags to insert into the reading.

If the contextual tests hold, any tag in the removal list that appears in the reading are deleted from the reading. Note that the tags in the removal list must be in the same order as those in the reading.

The list of insertions is then inserted into the reading in place of the lastly removed tag. Note that the insertion will take place if just one of the tags in the removal list appeared in the reading.

Often, the tags in the removal list should also appear in the target of the rule.

APPEND

An APPEND operation adds an entire reading (a new line) - not just a sequence of tags as ADD and MAP operations do. No TARGET is used as APPEND does not address individual readings but an entire cohort (of readings).

General form:

“<wordform>” APPEND (“baseform” tag1 tag2) IF (context1) (context2) … ;

Examples

 # Remove the tags A and B from the target reading and insert the tag C.
 "<something>" SUBSTITUTE (A B) (C) TARGET (D) ;

 # Append the reading "another" A B C to cohorts with the wordform
 # " <another> " in the given context
 "<another>" APPEND ("another" A B C) IF (1 (D)) ;

Syntax

Symbols

2.2.3 Positions

vislcg supports all the position and search features of CG-2:

2.3.5. Set operations

2.3.5.3. Intersection of sets (_)

SET I = S1 _ S2 ;

The _ operation is subtly different from the way CG-2 behaves. In vislcg, the _ operator does not make the Cartesian product of the two operand sets, but instead asserts that to be a member of the set I, a reading must be a member of both S1 and S2. This means that the _ operation in vislcg is properly the intersection operation, not the Cartesian product or concatenation.

Sets constructed using the _ operator in rules written for CG-2 should behave identically when used in vislcg and CG-2.

However, there may be subtle differences.

E.g: In vislcg, the following two sets are equivalent:

SET I1 = (A B) _ (C D) ;
SET I2 = (C D) _ (A B) ;

Because the _ operation is the intersection operation in vislcg, the following readings will all be members of both I1 and I2:

        A B C D
    C D A B
    A C D B

[ Note the reading A C D B. It is a member because it matches both (A B) and (C D). A D C B wouldn’t be a member; it matches (A B) but not (C D). ]

In CG-2, because the _ operation is the concatenation operation, the two sets are not equivalent. Only the reading A B C D is a member of I1 and only C D A B is a member of I2.

2.3.5.4. Precedence

Operator precedence for set operations are as described for CG-2:

  1. _ and - from left to right;
  2. OR.

2.3.6. Ambiguity Class (AND)

The ambiguity class operation (AND) is not supported by vislcg. To achieve the same effect that A AND N has in CG-2, use A LINK 0 N.

2.4.2. Operations

The IFF operation is not supported.

2.4.4. Contextual tests

The handling of contextual tests is intended to be consistent with CG-2’s behavior, but currently handles linked, careful, continous searches subtly different.

Testing wordforms:

Contextual test are tested against the wordforms of cohorts, too. Here, the wordform is interpreted as a reading with one tag: the wordform. E.g.: The test (1 (“<$.>”)) will match a cohort which is a full stop.

2.4.4.4. Same position

It _is_ possible in vislcg to have more than one contextual test for each position, e.g. the tests (1 A) (1 B) are legal in the same rule. This is contrary to CG-2, and no warning will be given.

2.4.4.5. Complement

In negated contextual tests, such as

     (NOT context0 LINK context1 LINK context2)

the negation is applied last and the rule is interpreted as

     ! (context0 && (context1 && context2)) /* C or Perl-like syntax */

[Tapanainen 1996; 2.4.5. page 33]: “Here, the negation is applied last”.

In negated LINKed contexts, such as

     (context0 LINK NOT context1 LINK context2)

the negation is applied only to context1, not to “context1 LINK context2” I.e.: the LINK to context2 will only be tested if context0 matches /and/ the linked context1 does not. The above context test is therefore interpreted as

     context0 && ( (!context1) && context2)

Combining the two above cases, the contextual test

     (NOT context0 LINK NOT context1 LINK context2)

is interpreted as

     ! (context0 && ( (!context1) && context2))

2.4.5. Linking

Careful LINKs are supported, as well as the negated links mentioned above. E.g.:

     (*1 VFIN LINK 0C P)
     The next cohort to the right which has a reading belonging to the set
     VFIN is unambigously P.

The above test is NOT equivalent to either

     (*1C VFIN _ P)
     To the right, there is a cohort which is unambigously both VFIN and P.

or

     (*1C VFIN LINK 0 P)
     The next cohort to the right which is unambigously VFIN
     also has a reading which is P.

or even (also with a careful link)

     (*1C VFIN LINK 0C P)
     The next occurrence of unambigous VFIN to the right is also
     unambigously P.

LINKs may be both careful and negated. E.g.:

     (*1 A LINK NOT 1C B)
     The next occurrence of A to the right is immidiately followed by a
     cohort which is not unambigously B.

Continuous search is subtly different from CG-2.

E.g.:

     (**1C A LINK 1 B)
     There is a cohort to the right which is unambigously A and
     followed by a cohort with a reading that is B.

This seems to be inconsistent with CG-2 [Tapanainen 1996, 2.4.5. p.33]: “In careful mode, scanning stops at the first occurrence of A where the linked tests hold, i.e. the rule means that the next occurrence of A followed by B is unambigously A.”

In vislcg, scanning will not stop at the first occurrence of A followed by B. In continous search, the LINK will never be tested unless the preceeding test (1C A) holds, even in careful mode.

E.g.: In visl-cg, but not in CG-2, the following input should satisfy the above contextual test (the target of the rule being the reading of “<0>”):

"<0>"
    X
"<1>"
    A
    X
"<2>"
    B
"<3>"
        A
    A
"<4>"
    B

Corrections

A correction rule modifies the information in the readings. Most often, this will be used to recover lexical errors.

2.5a.1. Correction Operations

There are two operations for correction rules.

- The SUBSTITUTE operation removes specific tags from a reading and inserts new ones. A schematic SUBSTITUTE rule is

     "<WORDFORM>" SUBSTITUTE (REMOVAL TAGS) (INSERTION TAGS) TARGET (TARGET)
     IF (TEST1) (TEST2) ... ;

The removal and insertion parts of a substitute rule are lists of tags. If the target reading has one or more of the removal tags, these will be removed from the reading and replaced by the insertion tags.

- The APPEND operation appends a new reading to a cohort. A schematic APPEND rule is

     "<WORDFORM>" APPEND (INSERTION TAGS) IF (TEST1) (TEST2) ... ;

The APPEND operation does not take a target because it operates on cohorts, not readings.

Rule order

The rule, target, and application ordering is not the same as for CG-2.

The –no-reordering flag may be set, forcing the parser to always apply rules in the order of appearance in the rule file.

Currently, reordering is done using the following priority list:

  1. SELECT before REMOVE.
  2. SELECT rules targetting more preferred tags before rules targetting less preferred targets.
  3. REMOVE rules targetting less preferred tags before rules targetting more preferred targets.
  4. By order of appearance in rule file.

This ordering may change arbitrarily in future versions.

[ A possible future rule ordering is:

  1. Wordform rules before tag/set targets.
  2. SELECT before REMOVE.
  3. Negated contexts (NOT) first
  4. “Simple” rules before “complex” rules.
  5. Local positions before searches.
  6. Careful rules first. ]

2.6.1. Section order

2.6.2. Target order

2.6.3. Order in the rule file

2.6.4. Application order of cohorts

Debugging

Debug Mode

The debug mode of the vislcg parser is similar to that of CG-2: In debug mode, the VISLCG compiler will issue a warning for every reading featuring a <Correct!> that the rule file would have removed if not run in debug mode.

To run the rule file debugging option, the –debug option is invoked together with the vislcg command and the –grammar option. The benchmark corpus has initially been tagged by a parser and subsequently evaluated by human annotators, who have added the critical tag <Correct!> to each reading that was judged to be accurately tagged. The tagged benchmark corpus is fed into the parser using the new rule file as a test grammar. The syntax of this command line hence stipulates the indication of the rule file and the benchmark corpus input file used as input to the rule file as indicated by the greater-than sign:

vislcg –grammar rulefilename –debug < benchmarkcorpusname

This corresponds to piping the corpus into vislcg by using the “cat” command:

cat benchmarkcorpusname | vislcg –grammar rulefilename –debug

You can debug a rule file (e.g. sandbox.txt) with IT Centre’s benchmark corpus by typing:

vislcg –grammar /home/cg-group/ sandbox.txt –debug < /home/cg-group/bs-benchmark

or

cat /home/cg-group/bs-benchmark | vislcg –grammar /home/cg-group/ sandbox.txt –debug

Bibliography:

[Tapanainen, 1996]: Pasi Tapanainen. The Constraint Grammar parser CG-2. Publications of the Department of General Linguistics, University of Helsinki, no. 27. 1996. ISBN 951-45-7331-5

http://visl.sdc.dk