To promote the use of a particular language or languages.

To regulate the use of language in a particular context.

To develop and implement language-related policies and plans.

To protect and preserve a particular language or languages.

Official language policy and de facto language policy.

National language policy and regional language policy.

Educational language policy and cultural language policy.

Economic language policy and political language policy.

Language policy is concerned with the development of language-related policies, while language planning is concerned with the implementation of those policies.

Language policy is concerned with the use of language in a particular context, while language planning is concerned with the development of language-related resources.

Language policy is concerned with the regulation of language use, while language planning is concerned with the promotion of language use.

Language policy is concerned with the protection of language rights, while language planning is concerned with the development of language skills.

Corpus planning, status planning, and acquisition planning.

National language planning, regional language planning, and local language planning.

Educational language planning, cultural language planning, and economic language planning.

Official language planning, de facto language planning, and ad hoc language planning.

To develop tools and resources that can be used to implement language-related policies and plans.

To analyze language data and identify trends in language use.

To create language models that can be used to generate text and translate languages.

To develop educational materials and resources that can be used to teach and learn languages.

By using natural language processing techniques to analyze large amounts of text data.

By using natural language processing techniques to identify patterns in language use.

By using natural language processing techniques to extract information from text data.

By using natural language processing techniques to generate text data.

By using natural language processing techniques to learn the patterns of language use.

By using natural language processing techniques to develop algorithms that can generate text.

By using natural language processing techniques to develop algorithms that can translate languages.

By using natural language processing techniques to develop algorithms that can understand text.

By using natural language processing techniques to develop interactive language learning tools.

By using natural language processing techniques to develop language corpora that can be used for language learning.

By using natural language processing techniques to develop language learning games.

By using natural language processing techniques to develop language learning apps.

The lack of availability of language data.

The difficulty of developing natural language processing models that are accurate and reliable.

The high cost of developing natural language processing tools and resources.

The lack of expertise in natural language processing.

The need to protect the privacy of language data.

The need to avoid bias in natural language processing models.

The need to ensure that natural language processing is used in a responsible and ethical manner.

The need to ensure that natural language processing is used to promote language diversity.

The development of new natural language processing techniques for analyzing language data.

The development of new natural language processing models for generating text and translating languages.

The development of new natural language processing tools and resources for language policy and language planning.

The development of new ethical guidelines for the use of natural language processing in language policy and language planning.

Improved language policy and planning.

Increased efficiency and effectiveness of language policy and planning.

Greater transparency and accountability in language policy and planning.

Increased public participation in language policy and planning.

The lack of availability of language data.

The difficulty of developing natural language processing models that are accurate and reliable.

The high cost of developing natural language processing tools and resources.

The lack of expertise in natural language processing.

The need to protect the privacy of language data.

The need to avoid bias in natural language processing models.

The need to ensure that natural language processing is used in a responsible and ethical manner.

The need to ensure that natural language processing is used to promote language diversity.