1 |
A Multimodal User Interface for an Assistive Robotic Shopping Cart
|
|
|
|
BASE
|
|
Show details
|
|
2 |
A Multimodal User Interface for an Assistive Robotic Shopping Cart
|
|
|
|
BASE
|
|
Show details
|
|
4 |
Sociolinguistic Features for Author Gender Identification: From Qualitative Evidence to Quantitative Analysis
|
|
|
|
BASE
|
|
Show details
|
|
5 |
Sociolinguistic Features for Author Gender Identification:From Qualitative Evidence to Quantitative Analysis.
|
|
|
|
Abstract:
Theoretical and empirical studies prove the strong relationship between social factors and the individual linguistic attitudes. Different social categories, such as gender, age, education, profession and social status, are strongly related with the linguistic diversity of people’s everyday spoken and written interaction. In this paper, sociolinguistic studies addressed to gender differentiation are overviewed in order to identify how various linguistic characteristics differ between women and men. Thereafter, it is examined if and how these qualitative features can become quantitative metrics for the task of gender identification from texts on web blogs. The evaluation results showed that the “syntactic complexity”, the “tag questions”, the “period length”, the “adjectives” and the “vocabulary richness” characteristics seem to be significantly distinctive with respect to the author’s gender.
|
|
URL: https://doi.org/10.1080/09296174.2016.1226430 https://eprints.lancs.ac.uk/id/eprint/124794/ https://eprints.lancs.ac.uk/id/eprint/124794/1/accepted_manuscript.pdf
|
|
BASE
|
|
Hide details
|
|
6 |
Stance Classification in Texts from Blogs on the 2016 British Referendum
|
|
|
|
BASE
|
|
Show details
|
|
7 |
Investigating Cross-lingual Multi-level Adaptive Networks: The Importance of the Correlation of Source and Target Languages
|
|
|
|
In: http://infoscience.epfl.ch/record/223756 (2016)
|
|
BASE
|
|
Show details
|
|
8 |
Evaluation and Sociolinguistic Analysis of Text Features for Gender and Age Identification
|
|
|
|
BASE
|
|
Show details
|
|
9 |
Age Identification of Twitter Users:Classification Methods and Sociolinguistic Analysis
|
|
|
|
BASE
|
|
Show details
|
|
10 |
Using Sociolinguistic Inspired Features for Gender Classification of Web Users
|
|
|
|
BASE
|
|
Show details
|
|
12 |
Wavelet basis selection for enhanced speech parametrization in speaker verification
|
|
|
|
BASE
|
|
Show details
|
|
13 |
Joint Spatial-Spectral Feature Space Clustering for Speech Activity Detection from ECoG Signals
|
|
|
|
BASE
|
|
Show details
|
|
14 |
Joint Spatial-Spectral Feature Space Clustering for Speech Activity Detection from ECoG Signals
|
|
|
|
BASE
|
|
Show details
|
|
20 |
Improving phone duration modelling using support vector regression fusion
|
|
|
|
In: ISSN: 0167-6393 ; EISSN: 1872-7182 ; Speech Communication ; https://hal.archives-ouvertes.fr/hal-00699049 ; Speech Communication, Elsevier : North-Holland, 2010, 53 (1), pp.85. ⟨10.1016/j.specom.2010.07.005⟩ (2010)
|
|
BASE
|
|
Show details
|
|
|
|