Few of us are prolific novelists, but most of us are leaving behind large datasets of language, courtesy of email and social media.
The populations included in our dataset speak languages belonging to several sub-branches of the NC family (see Additional file 3: Figure S1b) and are scattered through a vast area of sub-Saharan Africa, which mainly includes two habitats: the savannah and the rainforest.
Understanding via empirical experimentation how to effectively combine various types of clustering features allows us to seamlessly export our system to other datasets and languages.
In other words, with a large enough dataset, all a language really needs is a community of motivated users in order to stay alive -- or even to come back from the dead.
The measurement performance of the ACTS Burdens and Benefits scales was evaluated in the following languages: Dutch, Italian, French, German and English, and then a pooled dataset of all language versions.
However, the overall high cross-rater consistency in our dataset indicates that language users may extrapolate core meanings of emotion words based on relevant contexts and that such meanings can be queried in a context-free rating experiment.
In the second part, I will present a new visual reasoning language dataset, containing natural statements grounded in synthetic images.
For example, try to write some carefully calibrated code for controlling an inverted pendulum, or try see how far you can push a bag-of-words model on a natural language dataset.
For this purpose, a dataset in Russian language was created by the experts of the Belarusian Republican Center of Speech, Voice and Hearing Pathologies.
In the experiment, the syllable recognition is performed on this dataset without any language model or grammar constraint at the back end so that the recognition performance can be more related to the used front-end acoustic features.
