DE eng

Search in the Catalogues and Directories

Page: 1 2 3 4 5
Hits 1 – 20 of 88

1
LINGUIST List Resources for Sindhi
BASE
Show details
2
WALS Online Resources for Sindhi
: Max Planck Institute for Evolutionary Anthropology, 2021
BASE
Show details
3
Glottolog 4.4 Resources for Sindhi Bhil
: Max Planck Institute for Evolutionary Anthropology, 2021
BASE
Show details
4
Glottolog 4.4 Resources for Sindhi
: Max Planck Institute for Evolutionary Anthropology, 2021
BASE
Show details
5
PHOIBLE 2.0 phonemic inventories for Sindhi
: Max Planck Institute for the Science of Human History, 2019
BASE
Show details
6
Handwritten Sindhi Character Recognition Using Neural Networks
In: ISSN: 0254-7821 ; Mehran University Research Journal of Engineering and Technology ; https://hal.archives-ouvertes.fr/hal-01676725 ; Mehran University Research Journal of Engineering and Technology, Mehran University of Engineering and Technology, Jamshoro, Pakistan, 2018, 37 (1), pp.191-196 ; http://publications.muet.edu.pk/index.php/muetrj/article/view/122/63 (2018)
BASE
Show details
7
Crúbadán language data for Sindhi
Kevin Scannell. - 2018
BASE
Show details
8
Crúbadán language data for Sindhi
Kevin Scannell. - 2018
BASE
Show details
9
Sindhi: a language of Pakistan
: SIL International, 2018
BASE
Show details
10
Sindhi Bhil: a language of Pakistan
: SIL International, 2018
BASE
Show details
11
LINGUIST List Resources for Bhil, Sindhi
Damir Cavar, Director of Linguist List; Malgorzata E. Cavar, Director of Linguist List. - : The LINGUIST List (www.linguistlist.org), 2017
BASE
Show details
12
The influence of auditory-visual speech and clear speech on cross-language perceptual assimilation
Fenwick, Sarah E. (S29421); Best, Catherine T. (R11322); Davis, Chris (R11605). - : Netherlands, Elsevier, 2017
BASE
Show details
13
The influence of modality and speaking style on the assimilation type and categorization consistency of non-native speech
Fenwick, Sarah E. (S29421); Best, Catherine T. (R11322); Davis, Chris (R11605). - : France, International Speech Communication Association, 2016
BASE
Show details
14
Researching Sindhi and Urdu students’ reading habits and reading performance in a Pakistani university context
Ansari, Sanaullah. - : University of Bedfordshire, 2015
BASE
Show details
15
Reading attitudes in L1 and L2 among rural and urban learners in a Pakistani context
Memon, Shumaila. - : University of Bedfordshire, 2014
BASE
Show details
16
English medium for the government primary schools of Sindh, Pakistan ; an exploration of government primary school teachers’ attitudes
Channa, Liaquat Ali. - : uga, 2014
BASE
Show details
17
Methods and Tools for Weak Problems of Translation ; Méthodes et outils pour les problèmes faibles de traduction
Malik, Muhammad Ghulam Abbas. - : HAL CCSD, 2010
In: https://tel.archives-ouvertes.fr/tel-00502192 ; Computer Science [cs]. Université Joseph-Fourier - Grenoble I, 2010. English (2010)
BASE
Show details
18
A Finite State Model for Urdu Nastalique Optical Character Recognition
In: http://paper.ijcsns.org/07_book/200909/20090915.pdf (2009)
Abstract: Finite state technology is being used since long to model NLP (Natural Language Processing) applications specially it has very successfully applied to machine translation and speech recognition systems. Character recognition in cursive scripts or handwritten Latin script also have attracted researchers ’ attention and some research is also done in this area. Optical character recognition is the translation of optically scanned bitmaps of printed or written text into digitally editable data files. OCRs developed for many world languages are already under efficient use but none exist for Nastalique – a calligraphic adaptation of the Arabic script, just as Jawi is for Malay. Urdu has 39 characters against the Arabic 28. Each character then has 2-4 different shapes according to their position in the word: initial, medial, final and isolated. In Nastalique, word and character overlapping makes optical recognition more complex. Optical character recognition of the Latin script is relatively easier. This paper based on research on Nastalique OCR discusses a proposed finite state model for the optical recognition of Nastalique printed text. Key words:
Keyword: Kurdish; Sindhi; Urdu; Uygur and Malay
URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.554.1419
http://paper.ijcsns.org/07_book/200909/20090915.pdf
BASE
Hide details
19
LAPSyD Online page for Sindhi
Maddieson, Ian. - : www.lapsyd.ddl.cnrs.fr, 2009
BASE
Show details
20
The Sindhi implosives: archaism or innovation?
Woodhouse, Robert H.. - : Walter de Gruyter GmbH & Co. KG, 2009
BASE
Show details

Page: 1 2 3 4 5

Catalogues
5
0
0
0
0
2
0
Bibliographies
6
0
0
0
0
0
0
5
0
Linked Open Data catalogues
25
Online resources
12
0
2
2
Open access documents
38
0
0
0
0
© 2013 - 2024 Lin|gu|is|tik | Imprint | Privacy Policy | Datenschutzeinstellungen ändern