💡[FEATURE]: English to French Translation using LSTM

[ashis2004]

Is your feature request related to a problem? Please describe. A English to French translator powered by machine learning represents a transformative tool in bridging linguistic barriers. Leveraging advanced algorithms and neural networks, it adeptly interprets English text into accurate French equivalents. This technology operates by analyzing vast datasets of bilingual texts, learning patterns, and nuances to produce translations that capture context and cultural subtleties. In practical terms, such a translator facilitates seamless communication across international borders, enhances global business interactions, aids travelers in navigating foreign languages, and supports language learners in their studies. Its application extends to diverse domains including literature, commerce, diplomacy, and education, where precise and natural translations are essential.

Describe the solution you'd like The model architecture starts with an Embedding layer, which maps each word in the input English sequence to a dense vector representation of size 256. This layer helps capture semantic relationships between words and allows the model to generalize better across different inputs. The mask_zero=True parameter is set to handle padding in sequences, indicating that the model should ignore padded values during computation.

Following the Embedding layer, an LSTM (Long Short-Term Memory) layer with 256 units is used to process the embedded English sequences. LSTMs are chosen for their ability to retain and propagate information over long sequences, making them well-suited for sequence modeling tasks like translation.

Describe alternatives you've considered A clear and concise description of any alternative solutions or features you've considered.

Additional context

[ashis2004]

please assign it me @Akshat111111 under gssoc