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10 Amazing Benefits of Being Bilingual | Bilingual Kidspot
What are The Benefits of Being Bilingual
There has been a lot of research on bilingualism over the years. Many studies have found so many benefits of being bilingual or being able to speak more than one language. A trait that was once considered a hindrance, has now proved to have so many advantages for both children and adults.
Here are 10 amazing benefits of being bilingual: Make sure you check out the Infographic at the end of the page!
language  ukrainian  multilingual 
7 days ago by rgl7194
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فيديو  activated  build  download  IDM  internet  internet  download  manager  key  2019  internet  download  manager  licence  key  internet  download  manager  v  6.32  11  Multilingual  pre  تحميل  from instapaper
12 weeks ago by snapeplus
How Transferable Are Features in Convolutional Neural Network Acoustic Models across Languages? - IEEE Conference Publication
Characterization of the representations learned in intermediate layers of deep networks can provide valuable insight into the nature of a task and can guide the development of well-tailored learning strategies. Here we study convolutional neural network (CNN)-based acoustic models in the context of automatic speech recognition. Adapting a method proposed by [1], we measure the transferability of each layer between English, Dutch and German to assess their language-specificity. We observed three distinct regions of transferability: (1) the first two layers were entirely transferable between languages, (2) layers 2–8 were also highly transferable but we found some evidence of language specificity, (3) the subsequent fully connected layers were more language specific but could be successfully finetuned to the target language. To further probe the effect of weight freezing, we performed follow-up experiments using freeze-training [2]. Our results are consistent with the observation that CNNs converge ‘bottom up’ during training and demonstrate the benefit of freeze training, especially for transfer learning.
convnet  transfer-learning  multilingual  neural-net 
april 2019 by arsyed
Exploring BERT's Vocabulary
"I explored BERT’s multilingual vocabulary by itself and through its tokenization on 54 languages that have UD treebanks. I found that the majority of elements in BERT’s vocabulary are that of the European languages, most of them pure ASCII. Examining the output of BERT tokenizer confirmed that the tokenizer keeps English mostly intact while it may generate different token distributions in morphologically rich languages."
bert  nlp  multilingual 
march 2019 by arsyed
[1901.06486] Towards Universal End-to-End Affect Recognition from Multilingual Speech by ConvNets
We propose an end-to-end affect recognition approach using a Convolutional Neural Network (CNN) that handles multiple languages, with applications to emotion and personality recognition from speech. We lay the foundation of a universal model that is trained on multiple languages at once. As affect is shared across all languages, we are able to leverage shared information between languages and improve the overall performance for each one. We obtained an average improvement of 12.8% on emotion and 10.1% on personality when compared with the same model trained on each language only. It is end-to-end because we directly take narrow-band raw waveforms as input. This allows us to accept as input audio recorded from any source and to avoid the overhead and information loss of feature extraction. It outperforms a similar CNN using spectrograms as input by 12.8% for emotion and 6.3% for personality, based on F-scores. Analysis of the network parameters and layers activation shows that the network learns and extracts significant features in the first layer, in particular pitch, energy and contour variations. Subsequent convolutional layers instead capture language-specific representations through the analysis of supra-segmental features. Our model represents an important step for the development of a fully universal affect recognizer, able to recognize additional descriptors, such as stress, and for the future implementation into affective interactive systems.
asr  e2e  multilingual  speech  convnet 
january 2019 by arsyed

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