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Date: 2016
Language: eng
Resource Type: conference paper
Identifier: http://hdl.handle.net/1959.14/1190633
Description: Knowledge bases of real-world facts about entities and their relationships are useful resources for a variety of natural language processing tasks. However, because knowledge bases are typically incom ... More
Reviewed: Reviewed
Authors: Sirts, Kairit
Date: 2015
Language: eng
Resource Type: journal article
Identifier: http://hdl.handle.net/1959.14/1128876
Description: 9 page(s)
Reviewed: Reviewed
Date: 2015
Language: eng
Resource Type: conference paper
Identifier: http://hdl.handle.net/1959.14/1057814
Description: In this paper we use a deep auto-encoder for extractive query-based summarization. We experiment with different input representations in order to overcome the problems stemming from sparse inputs char ... More
Reviewed: Reviewed
Date: 2014
Language: eng
Resource Type: conference paper
Identifier: http://hdl.handle.net/1959.14/1044108
Description: We present a new approach to inducing the syntactic categories of words, combining their distributional and morphological properties in a joint nonparametric Bayesian model based on the distance-depen ... More
Reviewed: Reviewed
Date: 2013
Language: eng
Resource Type: journal article
Identifier: http://hdl.handle.net/1959.14/1105044
Description: This paper explores the use of Adaptor Grammars, a nonparametric Bayesian modelling framework, for minimally supervised morphological segmentation. We compare three training methods: unsupervised trai ... More
Reviewed: Reviewed
Date: 2012
Language: eng
Resource Type: conference paper
Identifier: http://hdl.handle.net/1959.14/1148085
Description: In this paper we present a fully unsupervised nonparametric Bayesian model that jointly induces POS tags and morphological segmentations. The model is essentially an infinite HMM that infers the numbe ... More
Reviewed: Reviewed
Authors: Sirts, Kairit
Date: 2012
Language: eng
Resource Type: conference paper
Identifier: http://hdl.handle.net/1959.14/1148109
Description: Morphological analysis is an important task in Estonian learner language studies that gives information about the words and forms used by the learners. Because of the spelling errors frequently occurr ... More
Reviewed: Reviewed
Date: 2009
Language: est
Resource Type: journal article
Identifier: http://hdl.handle.net/1959.14/1105040
Description: In this paper we study different aspects of language by using different cuts of language corpora. There are two particular cuts under observation, which are very different by their nature: mincing the ... More
Reviewed: Reviewed
Date: 2008
Language: est
Resource Type: journal article
Identifier: http://hdl.handle.net/1959.14/1089057
Description: Using the Corpus of Estonian Literary Language and specifically the selection of fiction texts from years 1988-1998 we have studied the frequency table of Estonian syllables (1000 most frequent syllab ... More
Reviewed: Reviewed
Date: 2005
Language: eng
Resource Type: conference paper
Identifier: http://hdl.handle.net/1959.14/1128877
Description: There exists already a pretty useful recognizer for Estonian numerals (Alumäe et al. 2004). There is also a long way to the next stage – full Estonian natural language speech recognizer. At the Rehabi ... More
Reviewed: Reviewed
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