| Version | Summary | Created by | Modification | Content Size | Created at | Operation |
|---|---|---|---|---|---|---|
| 1 | Dean Liu | -- | 136 | 2026-10-13 07:58:34 | | | |
| 2 | Catherine Yang | -10 word(s) | 126 | 2026-10-13 08:33:19 | | |
Language identification is a natural language processing task that determines the language associated with a given input by analyzing linguistic features extracted from textual or speech data. The task is formulated as a classification problem in which computational models assign an input sample to one or more predefined language categories based on patterns in lexical, character-level, phonological, or acoustic representations [1]. Language identification systems may operate on different input modalities, including written text and spoken language, and rely on statistical, machine learning, or other computational approaches to distinguish among languages [2]. The concept differs from broader language classification tasks because it specifically concerns recognizing the linguistic identity of an input rather than categorizing content, topics, or other non-linguistic properties [1][3].