Morphological lexicons for morphologically complex languages provide good text coverage at the cost of overgeneration, difficulty of modification, and sometimes performance issues. Use of simple, manageable lexicon forms – especially lists – for morphologically complex languages may appear unviable because the number of possible word-forms in a morphologically complex language can be prohibitively high. We created and experimented with a list-based lexicon for a morphologically complex language (Finnish), and compared its coverage with that of a mature morphological analyser on new text in two experimental settings. The observed smallish difference in coverage suggests the viability of using simple and easy-to-modify list-based lexicons as ...
This paper describes FinnPos, an open-source morphological tagging and lemmatization toolkit for Fin...
Finnish has a very productive morphology in which a stem can give rise to several thousand words. Th...
Proceedings of the 18th Nordic Conference of Computational Linguistics NODALIDA 2011. Editors: Bol...
Morphological lexicons for morphologically complex languages provide good text coverage at the cost ...
Finnish is considered one of the most complex languages with a particularly rich morphology. In addi...
Simplified two-level morphology is presented and discussed as well as implementing a new full-scale ...
Natural language processing (NLP) refers to the study of systems performing natural language related...
This paper describes an initial set of experiments in data-driven morpholog-ical analysis of Uralic ...
This dissertation presents a new computationally implemented linguistic model for morphological anal...
This thesis work introduces an approach to unsupervised learning of morphological structure of human...
This paper introduces a work in progress for implementing a free full text semantic tagger for Finni...
A NLP strategy is proposed for immediate run-time dealing with the open-endedness of the vocabulary....
This thesis explores the task of morphological parsing, which is going from a written word to a rep...
The construction of a morphological analyser for English is a fairly simple operation. The language ...
We study class-based n-gram and neural network language models for very large vocabulary speech reco...
This paper describes FinnPos, an open-source morphological tagging and lemmatization toolkit for Fin...
Finnish has a very productive morphology in which a stem can give rise to several thousand words. Th...
Proceedings of the 18th Nordic Conference of Computational Linguistics NODALIDA 2011. Editors: Bol...
Morphological lexicons for morphologically complex languages provide good text coverage at the cost ...
Finnish is considered one of the most complex languages with a particularly rich morphology. In addi...
Simplified two-level morphology is presented and discussed as well as implementing a new full-scale ...
Natural language processing (NLP) refers to the study of systems performing natural language related...
This paper describes an initial set of experiments in data-driven morpholog-ical analysis of Uralic ...
This dissertation presents a new computationally implemented linguistic model for morphological anal...
This thesis work introduces an approach to unsupervised learning of morphological structure of human...
This paper introduces a work in progress for implementing a free full text semantic tagger for Finni...
A NLP strategy is proposed for immediate run-time dealing with the open-endedness of the vocabulary....
This thesis explores the task of morphological parsing, which is going from a written word to a rep...
The construction of a morphological analyser for English is a fairly simple operation. The language ...
We study class-based n-gram and neural network language models for very large vocabulary speech reco...
This paper describes FinnPos, an open-source morphological tagging and lemmatization toolkit for Fin...
Finnish has a very productive morphology in which a stem can give rise to several thousand words. Th...
Proceedings of the 18th Nordic Conference of Computational Linguistics NODALIDA 2011. Editors: Bol...