1 Introduction

The globalization and economic integration of the 21st century have promoted the expansion of language policy planning activities to supranational organizations. International organizations play an important role in solving global problems, and their language policies have dual characteristics of internationalization and organization. Spolsky's discussion of supranational organizations in "Language Policy" marks the emergence of international organization language policy research as an independent field. The language policy of international organizations is influenced by practical communicative value, symbolic value, globalization process, and human rights, and needs to balance organizational efficiency with the symbolic value of member languages. The core issue lies in the tension between the technical rationality of language communication and the symbolic value of identity recognition. The language policies of international organizations face contradictions such as language fairness, communication efficiency, and economic costs. De Varennes pointed out that the language policy objectives of international organizations include transparent management, communication efficiency, equal participation, language rights, and anti discrimination. The English monolingual system and multilingual system represent technical rationality and symbolic value, respectively. The language policy of international organizations is a game of explicit and implicit language policies, influenced by factors such as political and economic strength, scope of influence, domain advantages, international participation, attention to vulnerable languages, and common identity recognition. The language policies of international organizations are more sensitive and complex than those of nation states. The breadth, depth, and intensity of international communication in the current global game are unprecedented. It is necessary to deepen research on language policies of international organizations, understand the manifestations of old problems in new environments, and explore language solutions for building a community with a shared future for mankind. Domestic and foreign scholars have recognized the necessity of studying language policy planning in international organizations. Although the research is just starting, important achievements have been made. This article will review existing research methods, introduce data-driven text analysis methods, and promote the digital paradigm transformation of language policy research.

Review and Analysis of the Research Path of Language Policy in 2 International Organizations

Reviewed and analyzed the existing paths of language policy research in international organizations. The research methods include theoretical exploration, macro descriptive statistics, policy text analysis, and corpus driven analysis. Theoretical exploration involves establishing analytical frameworks to distinguish concepts, such as the three-dimensional framework proposed by Zhang Zhiguo and Zhang Tianwei's analysis of factors influencing language policies. Macro descriptive statistics create language overviews through counting statistics, such as Zhang Zhiguo's research on the types of official languages and Zhang Huiyu's exploration of the mechanism of official language selection. Policy text analysis explores the ideology of language policy through narrative research and content analysis, such as Zhao Yun's analysis of the World Health Organization's language policy and Wang Longxing's content analysis of the language laws of the Andean Community. Corpus driven analysis reveals hidden patterns in language policies through large-scale corpus analysis, such as Fitzsimmons Doolan's analysis of educational language policy texts and McEntee Arianis et al.'s exploration of United Nations language policies. These research methods provide a theoretical basis and empirical data for the study of language policies in international organizations, but they also have limitations such as strong subjectivity and lack of a unified analytical framework. Future research can utilize data-driven text analysis methods, such as textual econometrics, to further explore the structure, relationships, and patterns of language policies.

3. A New Path of Data Driven Text Analysis - Text Metric Method

Text measurement is a quantitative text analysis technique based on statistical principles and methods, originating in France in the 1970s. With the advancement of computer functions and computational linguistics, it uses computational tools and quantitative techniques to reveal patterns and patterns behind large amounts of text data. This method assumes that text has internal structures that can be displayed through statistical and probabilistic calculations to reveal these structures and relationships. Text econometrics can achieve deep data mining of language policy texts in the field of language policy and planning, providing quantitative insights and assisting researchers in identifying and capturing hidden patterns and relationships behind large amounts of text data.

4 Conclusion

Emphasis was placed on the importance of language policy research in international organizations, pointing out that existing theories often start from nation states and lack research on supranational levels. The article proposes the need for empirical research in the special field of international organizations to promote the development of language planning theory. Summarized the path of language policy research in international organizations, including theoretical exploration, macro descriptive statistics, qualitative analysis of policy texts, and corpus based analysis. Special emphasis is placed on the application of textual econometrics in language policy text analysis, emphasizing the need for researchers to have theoretical frameworks and analytical perspectives. The article advocates the use of data-driven text measurement methods for research to promote the development of digital humanities in humanities and social science research, and uses IRaMuTeQ software as an example to demonstrate the analysis steps and results, aiming to attract more scholars to pay attention to data-driven language policy research.