Parsing Morphologically Complex Words
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Morphological AnalysisSimilar Papers 제목 키워드 기반
Improved Transition-Based Parsing by Modeling Characters instead of Words with LSTMs
We present extensions to a continuous-state dependency parsing method that makes it applicable to morphologically rich languages. Starting with a high-performance transition-based parser that uses long short-term memory …
Dependency ParsingAn Investigation of the Interactions Between Pre-Trained Word Embeddings, Character Models and POS Tags in Dependency Parsing
We provide a comprehensive analysis of the interactions between pre-trained word embeddings, character models and POS tags in a transition-based dependency parser. While previous studies have shown POS information to be …
Dependency ParsingPOSTAGWord EmbeddingsDependency Parsing in a Morphological rich language, Tamil
Dependency parsing is the process of analysing the grammatical structure of a sentence based on the dependencies between the words in a sentence. The annotation of dependency parsing is done using different formalisms at…
Dependency ParsingSentenceRepresenting and Parsing Korean Constituency Structure at Different Levels of Granularity
Korean constituency parsing raises a representational challenge because the terminal units of a phrase-structure tree do not straightforwardly correspond to simple surface words. Korean eojeols are morphologically comple…
Constituency ParsingCSSL: Contrastive Self-Supervised Learning for Dependency Parsing on Relatively Free Word Ordered and Morphologically Rich Low Resource Languages
Neural dependency parsing has achieved remarkable performance for low resource morphologically rich languages. It has also been well-studied that morphologically rich languages exhibit relatively free word order. This pr…
Data AugmentationDependency ParsingSelf-Supervised Learning