Ease of acquisition might thus be one determinant of the frequency of regularities across languages.GervainJuditEndressAnsgar.SpringerMemory & CognitionGervain, J. & Endress, A.D. (in preparation). Learning multiple rules simultaneously: Affixes are more salient than reduplications....
Learning multiple rules simultaneously: Affixes are more salient than reduplications Gervain, J. & Endress, A.D. (in preparation). Learning multiple rules simultaneously: Affixes are more salient than reduplications... J Gervain,AD Endress - 《Memory & Cognition》 被引量: 0发表: 2016年 Learni...
Louise can simultaneously learn multiple dependent programs, including mutuallly recursive programs (this is called multi-predicate learning): ?- learn([even/1,odd/1]). even(0). even(A):-predecessor(A,B),odd(B). odd(A):-predecessor(A,B),even(B). true. In the example above, even/1...
In MTL, the objective is to utilise learning multiple tasks simultaneously to improve the performance of the system (Martínez Alonso and Plank 2017). Since SA and OLI are both essentially sequence classification tasks, this inspired us to do MTL. To utilise MTL on Dravidian languages, we ...
Beelinguapp uses two concepts to make learning languages simple and fun: Side by Side Reading and Karaoke Reading. The first one involves showing a text in two languages simultaneously, allowing learners to use their native languages as a reference. The second one involves playing the audio while...
Both networks are trained simultaneously. During training, the generator uses random noise to create new synthetic data that closely resembles real data. The discriminator takes the output from the generator as input and uses real data to determine whether the generated content is real or synthetic....
segmentation was typically assessed with word and non-word comparisons (where non-words were sequences that had not occurred during habituation), or with comparisons that tested preferences for words and rule-words together, investigating word- and structure-learning simultaneously (Marchetto and Bonatti...
The NLU field is not limited to the tasks of named entity recognition, dependency analysis, and relationship extraction, but includes research that more effectively reflects the context of natural language using a model that handles multiple tasks simultaneously. Multi-task learning (MTL) has recently...
program (Gibson, 2006). In 2015 simSchool had 12,000 registered users in over 156 countries (Hopper,2018). Second Life is a freely available platform but multiple users within universities pay for access to increased levels of technical support and simSchool is paid at an institutional level ...
(e.g., GNN) learns a graph inside and coordinates messages based on the (complete) graph simultaneously. In this case, agents do not communicate with each other directly; instead, they communicate through a virtual agent who does not affect the environment. Therefore, we categorize these two ...