2 |
Common and distinct predictors of non-symbolic and symbolic ordinal number processing across the early primary school years
|
|
|
|
BASE
|
|
Show details
|
|
3 |
Common and distinct predictors of non-symbolic and symbolic ordinal number processing across the early primary school years
|
|
|
|
In: PLoS One (2021)
|
|
BASE
|
|
Show details
|
|
4 |
Active Semi-Supervised Learning for Improving Word Alignment ...
|
|
|
|
BASE
|
|
Show details
|
|
5 |
Active Semi-Supervised Learning for Improving Word Alignment ...
|
|
|
|
BASE
|
|
Show details
|
|
8 |
The Summa Platform Prototype ...
|
|
Liepins, Renars; Germann, Ulrich; Barzdins, Guntis; Birch, Alexandra; Renals, Steve; Weber, Susanne; van der Kreeft, Peggy; Bourlard, Herve; Prieto, Joao; Klejch, Ondrej; Bell, Peter; Lazaridis, Alexandros; Mendes, Alfonso; Riedel, Sebastian; Almeida, Mariana S. C.; Balage, Pedro; Cohen, Shay B.; Dwojak, Tomasz; Garner, Philip N.; Giefer, Andreas; Junczys-Dowmunt, Marcin; Imran, Hina; Nogueira, David; Ali, Ahmed; Miranda, Sebastiao; Popescu-Belis, Andrei; Miculicich Werlen, Lesly; Papasarantopoulos, Nikos; Obamuyide, Abiola; Jones, Clive; Dalvi, Fahim; Vlachos, Andreas; Wang, Yang; Tong, Sibo; Sennrich, Rico; Pappas, Nikolaos; Narayan, Shashi; Damonte, Marco; Durrani, Nadir; Khurana, Sameer; Abdelali, Ahmed; Sajjad, Hassan; Vogel, Stephan; Sheppey, David; Hernon, Chris; Mitchell, Jeff. - : Zenodo, 2017
|
|
Abstract:
We present the first prototype of the SUMMA Platform: an integrated platform for multilingual media monitoring. The platform contains a rich suite of low-level and high-level natural language processing technologies: automatic speech recognition of broadcast media, machine translation, automated tagging and classification of named entities, semantic parsing to detect relationships between entities, and automatic construction / augmentation of factual knowledge bases. Implemented on the Docker platform, it can easily be deployed, customised, and scaled to large volumes of incoming media streams. ...
|
|
URL: https://zenodo.org/record/834348 https://dx.doi.org/10.5281/zenodo.834348
|
|
BASE
|
|
Hide details
|
|
10 |
Challenging Language-Dependent Segmentation for Arabic: An Application to Machine Translation and Part-of-Speech Tagging ...
|
|
|
|
BASE
|
|
Show details
|
|
11 |
The SUMMA Platform Prototype
|
|
|
|
In: http://infoscience.epfl.ch/record/233575 (2017)
|
|
BASE
|
|
Show details
|
|
12 |
The left intraparietal sulcus adapts to symbolic number in both the visual and auditory modalities: Evidence from fMRI
|
|
|
|
In: Brain and Mind Institute Researchers' Publications (2017)
|
|
BASE
|
|
Show details
|
|
13 |
Egyptian Arabic to English Statistical Machine Translation System for NIST OpenMT'2015 ...
|
|
|
|
BASE
|
|
Show details
|
|
14 |
Enabling Medical Translation for Low-Resource Languages ...
|
|
|
|
BASE
|
|
Show details
|
|
18 |
Nonparametric Word Segmentation for Machine Translation ...
|
|
|
|
BASE
|
|
Show details
|
|
|
|