A Robust Shallow Parser for Swedish
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Summary
A robust parser for Swedish that identifies the internal structure of phrases, but does not build full trees; in addition to phrase identification, clause boundaries are detected.
- Type
- article
- Published
- 2003-01-01
- Cited by
- 44
- References
- 28
- OpenAlex
- https://openalex.org/W52051250
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:6868583
Keywords
Parsing, Computer science, Natural language processing, Phrase, Bracketing (phenomenology)
References
- Granska–an efficient hybrid system for Swedish grammar checking
- Automatic Evaluation of Robustness and Degradation in Tagging and Parsing
- Robust Error Detection: A Hybrid Approach Combining Unsupervised Error Detection and Linguistic Knowledge
- Processing Swedish sentences : a unification-based grammar and some applications
- A language-independent system for parsing unrestricted text
- Scaling Up an MT Prototype for Industrial Use - Databases and Data Flow
- Parse Fitting and Prose Fixing: Getting a Hold on III-Formedness
- An Experimental Parser
- Exploring evidence for shallow parsing
- Parsing engineering and empirical robustness
- An Experiment With Heuristic Parsing of Swedish
- Transformation Based Learning in the Fast Lane
- A Cascaded Finite-State Parser for Syntactic Analysis of Swedish
- Finite state segmentation of discourse into clauses
- Parsing without lexicon: the MorP system
- TnT – A Statistical Part-of-Speech Tagger
- Shallow Parsing with PoS Taggers and Linguistic Features
- Text Chunking using Transformation-Based Learning
- Introduction to Special Issue on Machine Learning Approaches to Shallow Parsing
- Parsing Swedish
Cited by
- Probabilistic Detection of Context-Sensitive Spelling Errors
- Découverte automatique des textes littéraires qui présentent les caractéristiques statistiques d'un texte de qualité
- Automatic Evaluation of Robustness and Degradation in Tagging and Parsing
- Text Cluster Trimming for Better Descriptions and Improved Quality
- Semantic Spaces of Clinical Text : Leveraging Distributional Semantics for Natural Language Processing of Electronic Health Records
- EACL - Expansion of Abbreviations in CLinical text
- Synonym Extraction of Medical Terms from Clinical Text Using Combinations of Word Space Models
- Robust Error Detection: A Hybrid Approach Combining Unsupervised Error Detection and Linguistic Knowledge
- Automatic Classification of Factuality Levels : A Case Study on Swedish Diagnoses and the Impact of Local Context
- Abbreviation Expansion in Swedish Clinical Text : Using Distributional Semantic Models and Levenshtein Distance Normalization
- Negation Scope Delimitation in Clinical Text Using Three Approaches: NegEx, PyConTextNLP and SynNeg
- The development and performance of a grammar checker for Swedish : A language engineering perspective
- Influence of Module Order on Rule-Based De-identification of Personal Names in Electronic Patient Records Written in Swedish
- The Multilingual Forest: Investigating High-quality Parallel Corpus Development
- Election of Diagnosis Codes Words as Responsible Citizens
- Global Evaluation of Random Indexing through Swedish Word Clustering Compared to the People’s Dictionary of Synonyms
- Traitement automatique des langues et apprentissage des langues assisté par ordinateur : bilan, résultats et perspectives
- Extracting Clinical Findings from Swedish Health Record Text
- Shades of Certainty: Annotation and Classification of Swedish Medical Records
- Characteristics and Analysis of Finnish and Swedish Clinical Intensive Care Nursing Narratives
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