نتایج جستجو برای: term gains for functionally complex grammatical features

تعداد نتایج: 10916986  

2015
Loïc Boizou Jolanta Kovalevskaite Erika Rimkute

This article presents a study of lemmatisation of flexible multiword expressions in Lithuanian. An approach based on syntactic analysis designed for multiword term lemmatisation was adapted for a broader range of MWEs taken from the Dictionary of Lithuanian Nominal Phrases. In the present analysis, the main lemmatisation errors are identified and some improvements are proposed. It shows that au...

2014
Julie Weeds David Weir Jeremy Reffin

This paper concerns how to apply compositional methods to vectors based on grammatical dependency relation vectors. We demonstrate the potential of a novel approach which uses higher-order grammatical dependency relations as features. We apply the approach to adjective-noun compounds with promising results in the prediction of the vectors for (held-out) ob-

2010
Francisco Costa António Branco

In this paper we present LXGram, a general purpose grammar for the deep linguistic processing of Portuguese that delivers high precision grammatical analysis and detailed meaning representations. We present the main design features and evaluation results on the grammar’s coverage as well as its ability to produce correct grammatical analyses.

2017
Graham McDonald Craig MacDonald Iadh Ounis

Government documents must be reviewed to identify any sensitive information they may contain, before they can be released to the public. However, traditional paper-based sensitivity review processes are not practical for reviewing born-digital documents. Therefore, there is a timely need for automatic sensitivity classification techniques, to assist the digital sensitivity review process. Howev...

Journal: :Computer Speech & Language 2014
Javier Tejedor Doroteo Torre Toledano Dong Wang Simon King José Colás Pasamontes

Discriminative confidence based on multi-layer perceptrons (MLPs) and multiple features has shown significant advantage compared to the widely used lattice-based confidence in spoken term detection (STD). Although the MLP-based framework can handle any features derived from a multitude of sources, choosing all possible features may lead to over complex models and hence less generality. In this ...

2003
Michael O'Neill Ian Dempsey Anthony Brabazon Conor Ryan

This study examines the utility of employing digit concatenation, as distinct from the traditional expression based approach, for the purpose of evolving constants in Grammatical Evolution. Digit concatenation involves creating constants (either whole or real numbers) by concatenating digits to form a single value. The two methods are compared using three different problems, which are finding a...

1998
Pascale Fung

Key term extraction is very useful for information retrieval. Most term extraction methods use one of two approaches, namely lexical and grammatical. We argue that due to the diierences in linguistic and character set characteristics of Chinese and Japanese, a lexical approach is more suitable for Chinese whereas a grammatical approach is more suitable for Japanese. In this paper, we present tw...

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