Stochastic Complexity in Statistical Inquiry Theory
Stochastic Complexity in Statistical Inquiry Theory
Unsupervised learning of the morphology of a natural language
Computational Linguistics
Semi-supervised learning with graphs
Semi-supervised learning with graphs
Unsupervised discovery of morphemes
MPL '02 Proceedings of the ACL-02 workshop on Morphological and phonological learning - Volume 6
Unsupervised models for morpheme segmentation and morphology learning
ACM Transactions on Speech and Language Processing (TSLP)
Morph-based speech recognition and modeling of out-of-vocabulary words across languages
ACM Transactions on Speech and Language Processing (TSLP)
Morpho Challenge Evaluation Using a Linguistic Gold Standard
Advances in Multilingual and Multimodal Information Retrieval
Simple Morpheme Labelling in Unsupervised Morpheme Analysis
Advances in Multilingual and Multimodal Information Retrieval
ParaMor: Finding Paradigms across Morphology
Advances in Multilingual and Multimodal Information Retrieval
Bayesian semi-supervised Chinese word segmentation for statistical machine translation
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
Semi-supervised sequence modeling with syntactic topic models
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 2
Cross-lingual propagation for morphological analysis
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 2
Unsupervised morphological segmentation with log-linear models
NAACL '09 Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Unsupervised induction of natural language morphology inflection classes
SIGMorPhon '04 Proceedings of the 7th Meeting of the ACL Special Interest Group in Computational Phonology: Current Themes in Computational Phonology and Morphology
Overview and results of Morpho challenge 2009
CLEF'09 Proceedings of the 10th cross-language evaluation forum conference on Multilingual information access evaluation: text retrieval experiments
Unsupervised morpheme analysis with allomorfessor
CLEF'09 Proceedings of the 10th cross-language evaluation forum conference on Multilingual information access evaluation: text retrieval experiments
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We consider morphology learning in a semi-supervised setting, where a small set of linguistic gold standard analyses is available. We extend Morfessor Baseline, which is a method for unsupervised morphological segmentation, to this task. We show that known linguistic segmentations can be exploited by adding them into the data likelihood function and optimizing separate weights for unlabeled and labeled data. Experiments on English and Finnish are presented with varying amount of labeled data. Results of the linguistic evaluation of Morpho Challenge improve rapidly already with small amounts of labeled data, surpassing the state-of-the-art unsupervised methods at 1000 labeled words for English and at 100 labeled words for Finnish.