Combining deterministic processing with ambiguity-awareness: the case of quantifying noun groups in German
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| Main Author: | |
|---|---|
| Format: | Thesis Book |
| Language: | English German |
| Published: |
Stuttgart
Univ., Inst. für maschinelle Sprachverarbeitung
2007
|
| Series: | Arbeitspapiere des Instituts für Maschinelle Sprachverarbeitung
13,1 |
| Subjects: | |
| Online Access: | Inhaltsverzeichnis |
| Physical Description: | XIV, 240 S. graph. Darst. |
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| 245 | 1 | 0 | |a Combining deterministic processing with ambiguity-awareness |b the case of quantifying noun groups in German |c vorgelegt von Kristina Spranger |
| 264 | 1 | |a Stuttgart |b Univ., Inst. für maschinelle Sprachverarbeitung |c 2007 | |
| 300 | |a XIV, 240 S. |b graph. Darst. | ||
| 336 | |b txt |2 rdacontent | ||
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| 490 | 1 | |a Arbeitspapiere des Instituts für Maschinelle Sprachverarbeitung |v 13,1 | |
| 502 | |a Zugl.: Stuttgart, Univ., Diss., 2007 | ||
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| adam_text | Contents
I Introduction
1
1
A System for the Extraction of Linguistic Information
3
1.1 SILVA —
Signalling Information gained from Linguistically Valuable
Analyses
................................ 3
1.1.1
Ambiguity in Parsing
..................... 4
1.1.2
Syntactic Underspecification
................. 5
1.2
SILVA s Architecture
......................... 8
2
The Structure of the Thesis
13
Π
The Quantifying Noun Group
17
3
The Quantifying Noun Group in German
19
3.1
Structure of this Part
......................... 20
3.2
Quantifying Noun Groups in German
-
Automatic Analysis and
Annotation
.............................. 21
3.2.1
Structure of the Quantifying Noun Group in German
... 21
3.2.2
Automatic Analysis and Annotation
-
Two Sources of Am¬
biguity
............................. 21
4
The Mass Count Distinction
29
4.1
A Noun Classification according to Two Fundamental Classifica¬
tion Decisions
.............................30
4.1.1
The Mass-Count Distinction: Syntactic and Semantic As¬
pects
..............................32
4.1.1.1
Syntactic Aspects of the Mass-Count Distinction
. 32
4.1.1.2
Semantic Aspects of the Mass-Count Distinction
. 34
4.1.2
The Distributive Behaviour of Mass Nouns and Countable
Nouns
.............................37
4.2
The Noun Classification and its Impacts on the (Automatic) Pro¬
cessing
.................................39
ν
Contents
5
Indications
of Quantity
-
Variants of the Quantitative Specification
41
5.1
A Semantically Inspired Classification of German Quantifying
Noun Groups
............................. 42
5.2
Numeral Noun Constructions and Quantum Noun Constructions
. 46
5.2.1
Numeral Noun Constructions
................ 46
5.2.2
Quantum Noun Constructions
................ 46
5.2.3
Numeral Noun and Quantum Noun Constructions in con¬
trast to Measure and Count Constructions
......... 47
5.3
Measure Constructions
. . -..................... 48
5.3.1
Theory of Measurement
................... 48
5.3.2
Linguistic Approaches to Measure Constructions
...... 49
5.3.3
Automatic Processing of Measure Constructions in
SILVA . 50
5.3.3.1
Ambiguities
..................... 51
5.3.3.2
Measure Arguments of (Dimensional) Adjectives
53
5.3.3.3
The Measure Object: Explicit and Implicit Ref¬
erence to Dimensions
............... 61
5.3.4
Abstract, concrete, and relative measuring unit construc¬
tions
.............................. 62
5.3.4.1
Abstract measuring unit constructions
...... 63
5.3.4.2
Concrete measuring unit constructions
...... 63
5.3.4.3
Relative measuring unit constructions
...... 63
5.4
Count Constructions
......................... 64
5.4.1
Count Noun Constructions
.................. 65
5.4.1.1
Numeral Classifier Constructions
......... 65
5.4.1.2
Shape Noun Constructions
............ 67
5.4.1.3
Container Noun Constructions
.......... 71
5.4.1.4
Singulative Constructions
............. 79
5.4.2
Sort Noun Constructions
................... 81
5.4.3
Collective Noun Constructions
................ 82
5.4.3.1
Configuration Constructions
........... 84
5.4.3.2
Group Collective Constructions
.......... 84
5.4.3.3
Automatic Processing of Collective Noun Con¬
structions
...................... 84
6
(Prenominai)
Modification of the Quantifying Noun Group
87
6.1
Semantic Constraints on
Prenominai
Adjective Order
....... 87
6.1.1
The First Level of Organization
-
Three Modification Zones
88
6.1.2
The Second Level of Organization
-
Several Subclasses
. . 89
6.1.3
The Affiliation to a Modification Zone and its Repercus¬
sions on Adjective Order
................... 90
6.2
Observations in terms of Modification of the Quantifying Noun
Group
................................. 91
6.2.1
The Functions of Adjectives in Quantifying Noun Groups
. 92
Contents
6.2.2
Modification
Behaviour of
Restricitve
Adjectives
......94
6.2.2.1
Descriptive Adjectives: The Antonym Pair
dick/dünn 95
6.2.2.2
Classifying Adjectives: The Color Adjectives
... 96
Contributions to the Field of Work
99
7.1
Contributions to the Theoretical Aspects of Quantifying Noun
Groups
.................................99
7.2
Contributions to the Automatic Processing of Quantifying Noun
Groups
.................................101
7.3
Important Aspects with respect to the Extraction Task
.......101
7.3.1
Feature Annotation
......................101
7.3.2
Two Peculiarities of Measure and Count Constructions
. .102
7.3.2.1
Additive and Non-Additive Measure Functions
.102
7.3.2.2
Container Noun Constructions
..........104
7.3.3
Modifications within the Quantifying Noun Group
.....104
III Underspecified Representations
107
8
Underspecified Representations for Quantifying Noun Groups
109
9
Incremental Specification via Underspecified Representations
113
9.1
The Specification Process described by
SILVA...........113
9.1.1
The Parsing Module and the Ambiguity-Handling Module
in the Specification Process
.................114
9.1.1.1
The parsing module
................114
9.1.1.2
The Ambiguity-Handling Module
.........115
9.1.2
The Reconstruction Module in the Specification Process
. 116
9.2
Underspecification
..........................116
9.2.1
Underspecification in Syntax
................117
9.2.2
Underspecified Representations and their Stepwise Trans¬
formation
...........................118
9.2.2.1
SILVA s Deterministic Specification Process
...119
9.2.2.2
Underspecification versus Packing
........119
9.3
(Explicitly) Underspecified Representations in
SILVA.......119
9.3.1
Implicitly and Explicitly Underspecified Representations
.120
9.3.1.1
The Implicidy Underspecified Representation
. . 120
9.3.1.2
The Explicitly Underspecified Representation
. . 121
9.3.2
Cases of Use of Underspecification with Quantifying Noun
Groups
............................121
vii
Contents
10 The
Target
Readings and their Demands on the Parsing Output
123
10.1
The Set of Target Readings
......................123
10.1.1
The Readings r2-NP and r,uanivG
..............125
10.1.2
The Readings rams, tcard, and rpp_nmi
...........126
10.1.2.1
rams and
tCArd
..................126
10.1.2.2
Γρρ_αηΜ.......................
128
10.2
Necessary and Sufficient Conditions
.................129
10.2.1
Necessary Conditions
.....................129
10.2.1.1
Necessary Conditions in terms of Quantifying Noun
Groups
.......................129
10.2.1.2
Four Relevant Initial Structure Sequences
.... 131
10.2.1.3
Surface Information as Necessary, but not Suffi¬
cient Condition
...................131
10.2.2
Sufficient Conditions
.....................133
10.2.2.1
Lexico-Semantic Characteristics
..........133
10.2.2.2
The Triggers for Annotating Context-Dependent
Lexico-Semantic Characteristics
..........135
11
The Level of Representation
137
11.1
The Local Disambiguation Task
-
Specificity and Informativity
138
11.2
Feature Structures as Means for Representation
..........139
11.2.1
Feature Structures in Information-Based Linguistics
.... 140
11.2.2
The Notion of Subsumption
.................142
11.2.2.1
The Extension Relation
■<.............142
11.2.2.2
The Subsumption Relations that obtain for SILVA s
Underspecified and Fully Specified Representa¬
tions
.........................143
11.3
Initial and Target Feature Structures of the Ambiguous Structure
Sequence
............................... 144
11.3.1
The (Implicitly Underspecified) Initial Representation
. . . 145
11.3.2
The (Fully Specified) Target Representations
........149
11.4
The Explicitly Underspecified Representation
...........157
11.4.1
A Working Example
.....................157
11.4.1.1
The Instantiated Initial Representation
......158
11.4.1.2
The Instantiated Target Representations
.....159
11.4.2
Test for Unifiability
......................160
11.4.2.1
Conditions for the Unifiability of FSimpl and an
instance of
FS/u¡i
..................161
11.4.2.2
Result of the Unification
..............162
11.4.3
Merging all Unifiable Representations into one Explicidy
Underspecified Representation
...............163
Contents
11.4.3.1
The Fragmentary Character of the Analyses as¬
sembled in the Explicitly Underspecified Repre¬
sentation
......................164
11.4.3.2
The Explicitly Underspecified Representation of
the Working Example
...............164
12
The Reconstruction Module
167
12.1
The Reconstruction Process
.....................167
12.1.1
The Specification of Target Readings
............167
12.1.2
Constraints on the Representations of Constituents as¬
sembled in an Explicitly Underspecified Representation
. . 169
12.1.3
The Relations holding between each two Constituents
. .170
12.1.4
The Deletion Rules
......................170
12.2
The Reconstruction of the Working Example
............174
12.2.1
The Derivation of all possible Constituents
.........175
12.2.2
Applying Constraints on the derived Constituents
.....176
12.2.3
Determining the Relations holding between each two Con¬
stituents
............................177
12.2.4
Computing Unordered Trees
.................177
12.2.5
The Hierarchical Representations of the Target Readings
. 179
12.2.6
Applying the Deletion Rules and Determining the locally
valid Target Readings
....................182
13
Remarks on the Generalisability of the proposed Approach
189
IV Conclusions
193
14
Summary and Conclusions
195
14.1
The Quantifying Noun Group
....................195
14.2
Underspecified Representations
...................198
14.3
The Interplay between Theoretical linguistics and Computational
Linguistics
...............................200
Zusammenfassung 203
A Measuring Units
215
A.1 Abstract Measuring Units
......................215
АЛЛ
Two Classes of SI Units
....................215
АЛ.
1.1
SI Base Units
....................216
АЛ.
1.2
SI Derived Units
..................216
A.l.1.3 Decimal Multiples and
Submultiples
of SI Units
. 216
A.1.2 Units outside the SI
......................218
АЛ.З
The writing of SI unit names and symbols
.........220
ix
A.l.3.1
SI unit symbols
...................220
A.l.3.2 Algebra of SI unit symbols
............220
A.l.3.3 Rules for using SI prefixes
.............220
A.1.4 Abstract Measuring Units used in
SILVA..........221
A.l.4.1 Dimensional Adjectives used in
SILVA
and their
Scales
........................221
A.l.4.2 Additional Dimensions and Measuring Units
. . . 225
A.2 Concrete Measuring Units
......................225
A.2.1 Container Nouns
.......................226
A.2.2 Action Nouns
.........................226
В
Counting Units
227
B.I Shape Nouns
.............................227
B.2 Container Nouns
...........................228
B.3 Singulatives
..............................230
B.4 Collective Nouns
...........................230
B.4.1 Configuration Collectives
..................230
B.4.2 Group Collectives
.......................231
Bibliography
232
|
| adam_txt |
Contents
I Introduction
1
1
A System for the Extraction of Linguistic Information
3
1.1 SILVA —
Signalling Information gained from Linguistically Valuable
Analyses
. 3
1.1.1
Ambiguity in Parsing
. 4
1.1.2
Syntactic Underspecification
. 5
1.2
SILVA's Architecture
. 8
2
The Structure of the Thesis
13
Π
The Quantifying Noun Group
17
3
The Quantifying Noun Group in German
19
3.1
Structure of this Part
. 20
3.2
Quantifying Noun Groups in German
-
Automatic Analysis and
Annotation
. 21
3.2.1
Structure of the Quantifying Noun Group in German
. 21
3.2.2
Automatic Analysis and Annotation
-
Two Sources of Am¬
biguity
. 21
4
The Mass Count Distinction
29
4.1
A Noun Classification according to Two Fundamental Classifica¬
tion Decisions
.30
4.1.1
The Mass-Count Distinction: Syntactic and Semantic As¬
pects
.32
4.1.1.1
Syntactic Aspects of the Mass-Count Distinction
. 32
4.1.1.2
Semantic Aspects of the Mass-Count Distinction
. 34
4.1.2
The Distributive Behaviour of Mass Nouns and Countable
Nouns
.37
4.2
The Noun Classification and its Impacts on the (Automatic) Pro¬
cessing
.39
ν
Contents
5
Indications
of Quantity
-
Variants of the Quantitative Specification
41
5.1
A Semantically Inspired Classification of German Quantifying
Noun Groups
. 42
5.2
Numeral Noun Constructions and Quantum Noun Constructions
. 46
5.2.1
Numeral Noun Constructions
. 46
5.2.2
Quantum Noun Constructions
. 46
5.2.3
Numeral Noun and Quantum Noun Constructions in con¬
trast to Measure and Count Constructions
. 47
5.3
Measure Constructions
. . -. 48
5.3.1
Theory of Measurement
. 48
5.3.2
Linguistic Approaches to Measure Constructions
. 49
5.3.3
Automatic Processing of Measure Constructions in
SILVA . 50
5.3.3.1
Ambiguities
. 51
5.3.3.2
Measure Arguments of (Dimensional) Adjectives
53
5.3.3.3
The Measure Object: Explicit and Implicit Ref¬
erence to Dimensions
. 61
5.3.4
Abstract, concrete, and relative measuring unit construc¬
tions
. 62
5.3.4.1
Abstract measuring unit constructions
. 63
5.3.4.2
Concrete measuring unit constructions
. 63
5.3.4.3
Relative measuring unit constructions
. 63
5.4
Count Constructions
. 64
5.4.1
Count Noun Constructions
. 65
5.4.1.1
Numeral Classifier Constructions
. 65
5.4.1.2
Shape Noun Constructions
. 67
5.4.1.3
Container Noun Constructions
. 71
5.4.1.4
Singulative Constructions
. 79
5.4.2
Sort Noun Constructions
. 81
5.4.3
Collective Noun Constructions
. 82
5.4.3.1
Configuration Constructions
. 84
5.4.3.2
Group Collective Constructions
. 84
5.4.3.3
Automatic Processing of Collective Noun Con¬
structions
. 84
6
(Prenominai)
Modification of the Quantifying Noun Group
87
6.1
Semantic Constraints on
Prenominai
Adjective Order
. 87
6.1.1
The First Level of Organization
-
Three "Modification Zones"
88
6.1.2
The Second Level of Organization
-
Several Subclasses
. . 89
6.1.3
The Affiliation to a Modification Zone and its Repercus¬
sions on Adjective Order
. 90
6.2
Observations in terms of Modification of the Quantifying Noun
Group
. 91
6.2.1
The Functions of Adjectives in Quantifying Noun Groups
. 92
Contents
6.2.2
Modification
Behaviour of
Restricitve
Adjectives
.94
6.2.2.1
Descriptive Adjectives: The Antonym Pair
dick/dünn 95
6.2.2.2
Classifying Adjectives: The Color Adjectives
. 96
Contributions to the Field of Work
99
7.1
Contributions to the Theoretical Aspects of Quantifying Noun
Groups
.99
7.2
Contributions to the Automatic Processing of Quantifying Noun
Groups
.101
7.3
Important Aspects with respect to the Extraction Task
.101
7.3.1
Feature Annotation
.101
7.3.2
Two Peculiarities of Measure and Count Constructions
. .102
7.3.2.1
Additive and Non-Additive Measure Functions
.102
7.3.2.2
Container Noun Constructions
.104
7.3.3
Modifications within the Quantifying Noun Group
.104
III Underspecified Representations
107
8
Underspecified Representations for Quantifying Noun Groups
109
9
Incremental Specification via Underspecified Representations
113
9.1
The Specification Process described by
SILVA.113
9.1.1
The Parsing Module and the Ambiguity-Handling Module
in the Specification Process
.114
9.1.1.1
The parsing module
.114
9.1.1.2
The Ambiguity-Handling Module
.115
9.1.2
The Reconstruction Module in the Specification Process
. 116
9.2
Underspecification
.116
9.2.1
Underspecification in Syntax
.117
9.2.2
Underspecified Representations and their Stepwise Trans¬
formation
.118
9.2.2.1
SILVA's Deterministic Specification Process
.119
9.2.2.2
Underspecification versus Packing
.119
9.3
(Explicitly) Underspecified Representations in
SILVA.119
9.3.1
Implicitly and Explicitly Underspecified Representations
.120
9.3.1.1
The Implicidy Underspecified Representation
. . 120
9.3.1.2
The Explicitly Underspecified Representation
. . 121
9.3.2
Cases of Use of Underspecification with Quantifying Noun
Groups
.121
vii
Contents
10 The
Target
Readings and their Demands on the Parsing Output
123
10.1
The Set of Target Readings
.123
10.1.1
The Readings r2-NP and r,uanivG
.125
10.1.2
The Readings rams, tcard, and rpp_nmi
.126
10.1.2.1
rams and
tCArd
.126
10.1.2.2
Γρρ_αηΜ.
128
10.2
Necessary and Sufficient Conditions
.129
10.2.1
Necessary Conditions
.129
10.2.1.1
Necessary Conditions in terms of Quantifying Noun
Groups
.129
10.2.1.2
Four Relevant Initial Structure Sequences
. 131
10.2.1.3
Surface Information as Necessary, but not Suffi¬
cient Condition
.131
10.2.2
Sufficient Conditions
.133
10.2.2.1
Lexico-Semantic Characteristics
.133
10.2.2.2
The Triggers for Annotating Context-Dependent
Lexico-Semantic Characteristics
.135
11
The Level of Representation
137
11.1
The Local Disambiguation Task
-
"Specificity" and "Informativity"
138
11.2
Feature Structures as Means for Representation
.139
11.2.1
Feature Structures in Information-Based Linguistics
. 140
11.2.2
The Notion of Subsumption
.142
11.2.2.1
The Extension Relation
■<.142
11.2.2.2
The Subsumption Relations that obtain for SILVA's
Underspecified and Fully Specified Representa¬
tions
.143
11.3
Initial and Target Feature Structures of the Ambiguous Structure
Sequence
. 144
11.3.1
The (Implicitly Underspecified) Initial Representation
. . . 145
11.3.2
The (Fully Specified) Target Representations
.149
11.4
The Explicitly Underspecified Representation
.157
11.4.1
A Working Example
.157
11.4.1.1
The Instantiated Initial Representation
.158
11.4.1.2
The Instantiated Target Representations
.159
11.4.2
Test for Unifiability
.160
11.4.2.1
Conditions for the Unifiability of FSimpl and an
instance of
FS/u¡i
.161
11.4.2.2
Result of the Unification
.162
11.4.3
Merging all Unifiable Representations into one Explicidy
Underspecified Representation
.163
Contents
11.4.3.1
The Fragmentary Character of the Analyses as¬
sembled in the Explicitly Underspecified Repre¬
sentation
.164
11.4.3.2
The Explicitly Underspecified Representation of
the Working Example
.164
12
The Reconstruction Module
167
12.1
The Reconstruction Process
.167
12.1.1
The Specification of Target Readings
.167
12.1.2
Constraints on the Representations of Constituents as¬
sembled in an Explicitly Underspecified Representation
. . 169
12.1.3
The Relations holding between each two Constituents
. .170
12.1.4
The Deletion Rules
.170
12.2
The Reconstruction of the Working Example
.174
12.2.1
The Derivation of all possible Constituents
.175
12.2.2
Applying Constraints on the derived Constituents
.176
12.2.3
Determining the Relations holding between each two Con¬
stituents
.177
12.2.4
Computing Unordered Trees
.177
12.2.5
The Hierarchical Representations of the Target Readings
. 179
12.2.6
Applying the Deletion Rules and Determining the locally
valid Target Readings
.182
13
Remarks on the Generalisability of the proposed Approach
189
IV Conclusions
193
14
Summary and Conclusions
195
14.1
The Quantifying Noun Group
.195
14.2
Underspecified Representations
.198
14.3
The Interplay between Theoretical linguistics and Computational
Linguistics
.200
Zusammenfassung 203
A Measuring Units
215
A.1 Abstract Measuring Units
.215
АЛЛ
Two Classes of SI Units
.215
АЛ.
1.1
SI Base Units
.216
АЛ.
1.2
SI Derived Units
.216
A.l.1.3 Decimal Multiples and
Submultiples
of SI Units
. 216
A.1.2 Units outside the SI
.218
АЛ.З
The writing of SI unit names and symbols
.220
ix
A.l.3.1
SI unit symbols
.220
A.l.3.2 Algebra of SI unit symbols
.220
A.l.3.3 Rules for using SI prefixes
.220
A.1.4 Abstract Measuring Units used in
SILVA.221
A.l.4.1 Dimensional Adjectives used in
SILVA
and "their"
Scales
.221
A.l.4.2 Additional Dimensions and Measuring Units
. . . 225
A.2 Concrete Measuring Units
.225
A.2.1 Container Nouns
.226
A.2.2 Action Nouns
.226
В
Counting Units
227
B.I Shape Nouns
.227
B.2 Container Nouns
.228
B.3 Singulatives
.230
B.4 Collective Nouns
.230
B.4.1 Configuration Collectives
.230
B.4.2 Group Collectives
.231
Bibliography
232 |
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| author | Spranger, Kristina |
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| discipline_str_mv | Germanistik / Niederlandistik / Skandinavistik Sprachwissenschaft Literaturwissenschaft |
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| illustrated | Illustrated |
| index_date | 2024-07-02T17:45:02Z |
| indexdate | 2024-07-09T20:58:20Z |
| institution | BVB |
| language | English German |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-015679625 |
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| spelling | Spranger, Kristina Verfasser (DE-588)133334236 aut Combining deterministic processing with ambiguity-awareness the case of quantifying noun groups in German vorgelegt von Kristina Spranger Stuttgart Univ., Inst. für maschinelle Sprachverarbeitung 2007 XIV, 240 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Arbeitspapiere des Instituts für Maschinelle Sprachverarbeitung 13,1 Zugl.: Stuttgart, Univ., Diss., 2007 Extraktion Linguistik (DE-588)4407118-8 gnd rswk-swf Computerlinguistik (DE-588)4035843-4 gnd rswk-swf Syntaktische Analyse (DE-588)4058778-2 gnd rswk-swf Nominalphrase (DE-588)4120810-9 gnd rswk-swf Deutsch (DE-588)4113292-0 gnd rswk-swf (DE-588)4113937-9 Hochschulschrift gnd-content Deutsch (DE-588)4113292-0 s Nominalphrase (DE-588)4120810-9 s Syntaktische Analyse (DE-588)4058778-2 s Extraktion Linguistik (DE-588)4407118-8 s Computerlinguistik (DE-588)4035843-4 s DE-188 Arbeitspapiere des Instituts für Maschinelle Sprachverarbeitung 13,1 (DE-604)BV012961671 13,1 Digitalisierung UB Bamberg application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=015679625&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Spranger, Kristina Combining deterministic processing with ambiguity-awareness the case of quantifying noun groups in German Arbeitspapiere des Instituts für Maschinelle Sprachverarbeitung Extraktion Linguistik (DE-588)4407118-8 gnd Computerlinguistik (DE-588)4035843-4 gnd Syntaktische Analyse (DE-588)4058778-2 gnd Nominalphrase (DE-588)4120810-9 gnd Deutsch (DE-588)4113292-0 gnd |
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| title | Combining deterministic processing with ambiguity-awareness the case of quantifying noun groups in German |
| title_auth | Combining deterministic processing with ambiguity-awareness the case of quantifying noun groups in German |
| title_exact_search | Combining deterministic processing with ambiguity-awareness the case of quantifying noun groups in German |
| title_exact_search_txtP | Combining deterministic processing with ambiguity-awareness the case of quantifying noun groups in German |
| title_full | Combining deterministic processing with ambiguity-awareness the case of quantifying noun groups in German vorgelegt von Kristina Spranger |
| title_fullStr | Combining deterministic processing with ambiguity-awareness the case of quantifying noun groups in German vorgelegt von Kristina Spranger |
| title_full_unstemmed | Combining deterministic processing with ambiguity-awareness the case of quantifying noun groups in German vorgelegt von Kristina Spranger |
| title_short | Combining deterministic processing with ambiguity-awareness |
| title_sort | combining deterministic processing with ambiguity awareness the case of quantifying noun groups in german |
| title_sub | the case of quantifying noun groups in German |
| topic | Extraktion Linguistik (DE-588)4407118-8 gnd Computerlinguistik (DE-588)4035843-4 gnd Syntaktische Analyse (DE-588)4058778-2 gnd Nominalphrase (DE-588)4120810-9 gnd Deutsch (DE-588)4113292-0 gnd |
| topic_facet | Extraktion Linguistik Computerlinguistik Syntaktische Analyse Nominalphrase Deutsch Hochschulschrift |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=015679625&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| volume_link | (DE-604)BV012961671 |
| work_keys_str_mv | AT sprangerkristina combiningdeterministicprocessingwithambiguityawarenessthecaseofquantifyingnoungroupsingerman |