5 citations · 6 across the 2 of their papers we have counts for
4 papers
A Neural Network Approach for Mixing Language Models
Youssef Oualil, Dietrich Klakow
The performance of Neural Network (NN)-based language models is steadily improving due to the emergence of new architectures, which are able to learn different natural language cha…
Long-Short Range Context Neural Networks for Language Modeling
Youssef Oualil, Mittul Singh, Clayton Greenberg +1
The goal of language modeling techniques is to capture the statistical and structural properties of natural languages from training corpora. This task typically involves the learni…
A Batch Noise Contrastive Estimation Approach for Training Large Vocabulary Language Models
Youssef Oualil, Dietrich Klakow
Training large vocabulary Neural Network Language Models (NNLMs) is a difficult task due to the explicit requirement of the output layer normalization, which typically involves the…
Sequential Recurrent Neural Networks for Language Modeling
Youssef Oualil, Clayton Greenberg, Mittul Singh +1
Feedforward Neural Network (FNN)-based language models estimate the probability of the next word based on the history of the last N words, whereas Recurrent Neural Networks (RNN) p…