Lund University Publications (Lund University) · 2014 · 16 citations · 29 references
Language StudiesComputer ScienceLinguisticsComputational LinguisticsMorphologyNatural Language ProcessingMorphological AnalysisMorphological DisambiguationMorphological ParsingParsingSyntactic ParsingSyntax ParsingMorpheme RecognitionMorphological EmbeddingsMorphological Parsing ModelsMorphosyntactic ParsingNeural Morphological ParsingRanking Of Morphological AnalysesSemi-supervised Morphological AnalysisSupervised Morphological Analysis
We summarize our approach taken in the SPMRL 2014 Shared Task on parsing morphologically rich languages. Our approach builds upon our contribution from last year, with a number of modifications and extensions. Though this paper summarizes our contribution, a more detailed description and evaluation will be presented in the accompanying volume containing notes from the SPMRL 2014 Shared Task.
29
Combining labeled and unlabeled data with co-training
Avrim Blum, Tom M. Mitchell · 1998 · 5.6K citations · Full text
Class-based n -gram models of natural language
Peter F. Brown, P.V. deSouza, Robert L. Mercer et al. · 1992 · 2.9K citations
Language Studies, Computer Science, Computational Linguistics +15
Learning accurate, compact, and interpretable tree annotation
Slav Petrov, Leon Barrett, Romain Thibaux et al. · 2006 · 812 citations · Full text