Language documentation aims to create a comprehensive record of a language, including its grammar, vocabulary, pronunciation, and usage, in order to preserve it for future generations and facilitate research.

Statistical analysis is not a common method used in language documentation, as it is more commonly used in language research and analysis.

A language corpus is a collection of written texts, audio recordings, and/or video recordings in a language, which is used for linguistic research and analysis.

A language corpus serves multiple purposes, including providing a comprehensive record of a language, facilitating language learning and teaching, and supporting research on language structure and usage.

Comparable corpora are not a type of language corpus, as they consist of texts in different languages that are related in some way, but are not directly aligned or parallel.

The main difference between a monolingual corpus and a bilingual corpus is that a monolingual corpus contains texts in one language, while a bilingual corpus contains texts in two languages.

A parallel corpus is a corpus that contains texts in two or more languages that are aligned at the sentence level, meaning that each sentence in one language has a corresponding sentence in the other language.

Parallel corpora have a wide range of applications, including machine translation, language learning, cross-lingual information retrieval, and other natural language processing tasks.

Language documentation projects and language corpus projects have different goals, scales, and resource requirements, with language documentation projects typically being larger and more comprehensive than language corpus projects.

Language documentation and language corpora creation face a number of challenges, including lack of funding and resources, lack of access to speakers of endangered languages, and ethical considerations related to language documentation.

Language documentation and language corpora can contribute to language revitalization efforts by providing a comprehensive record of a language, facilitating the development of language learning materials, and raising awareness of endangered languages.

The Endangered Languages Project, The Rosetta Project, and The World Atlas of Languages are all examples of language documentation projects that aim to preserve and document endangered languages.

The British National Corpus, The Corpus of Contemporary American English, and The Chinese Gigaword Corpus are all examples of language corpus projects that have been created for various research and practical purposes.

Language documentation and language corpora can be used to support language learning and teaching by providing authentic language materials for learners, facilitating the development of language teaching materials, and providing insights into language structure and usage.

When conducting language documentation and language corpora creation, it is important to consider ethical issues such as obtaining informed consent from speakers, respecting their privacy, and ensuring that the data is used in a responsible manner.