A New Corpus for Low-Resourced Sindhi Language with Word Embeddings
Table 5: Optimized parameters for CBoW, SG and GloVe models.
['Parameter', 'CBoW, SG', 'GloVe']
We carefully choose to optimize the dictionary and algorithm-based parameters of CBoW, SG and GloVe algorithms. The choice of optimized hyperparameters is based on The high cosine similarity score in retrieving nearest neighboring words, the semantic, syntactic similarity between word pairs, WordSim353, and visualization of the distance between twenty nearest neighbours using t-SNE respectively. All the experiments are conducted on GTX 1080-TITAN GPU.