Machine translation functions in cross-language communication by utilizing algorithms and statistical models to convert text or speech from one language to another automatically. It involves three main processes: analysis, which dissects the source text to understand its grammar and meaning; transfer, where the linguistic elements are mapped to the target language; and synthesis, which reconstructs the translated output in the appropriate linguistic form. Recent advancements include neural networks, which enhance accuracy and context understanding, making translations more fluid and natural.