Investigating a Corpus of Historical Oral Testimonies: The Linguistic Construction of Certainty

This guide provides an introduction to the use of corpus linguistics in the analysis of oral history data, highlighting its potential to reveal hidden themes and insights. It shows how to source a relevant oral history archive, construct a representative corpus, and analyze this data using corpus tools.

Format: Paperback / softback
Length: 160 pages
Publication date: 30 December 2022
Publisher: Taylor & Francis Ltd

Guides the reader through the process of sourcing a relevant oral history archive for linguistic analysis, constructing a representative corpus out of this archive and analysing this using corpus tools.

Shows how corpus linguistics can illuminate themes worthy of investigation that may otherwise remain hidden.

Shows what readers can gain from blending linguistic tools and competencies with oral history data.

Step 1: Selecting a Relevant Oral History Archive

When embarking on a linguistic analysis of oral history data, it is crucial to select a relevant and high-quality archive that contains the necessary information for your research. Here are some key considerations to keep in mind:

Thematic Focus: Ensure that the oral history archive aligns with your research interests and themes. Look for archives that specifically focus on the period, culture, or subject matter that you are studying. This will help you to narrow down your search and find the most relevant data.

Geographic Coverage: Consider the geographic location and demographic characteristics of the speakers in the archive. This will help you to ensure that your corpus is representative of the population you are interested in studying.

Quality of Recordings: Evaluate the quality of the recordings and transcripts. Look for archives that have been carefully transcribed and annotated, as this will make it easier for you to analyse the data.

Access and Availability: Ensure that the oral history archive is accessible and available to you. Check the terms of access and any restrictions on use, and consider whether you will need to travel to access the archive.

Step 2: Constructing a Representative Corpus

Once you have selected a relevant oral history archive, the next step is to construct a representative corpus out of the available data. A representative corpus is a collection of text that is representative of the entire archive and captures the key themes and perspectives of the speakers. Here are some steps to help you construct a representative corpus:

Identify Key Themes: Start by identifying the key themes or topics that you want to investigate in your linguistic analysis. These themes should be based on your research interests and the information available in the archive.

Select Representative Samples: Select a subset of the recordings and transcripts that are most representative of the key themes. This may involve listening to the recordings and reading the transcripts carefully to identify the most relevant and informative segments.

Transcribe and Annotate: Transcribe the selected segments of the recordings and annotate them with relevant metadata such as speaker identification, date, location, and context. This will help you to organise and manage your data.

Clean and Normalise Data: Clean and normalise the transcribed and annotated data to ensure that it is consistent and easy to analyse. This may involve removing unnecessary punctuation, correcting spelling and grammar errors, and standardising the format of the data.

Step 3: Analyzing the Corpus Using Corpus Tools

Once you have constructed a representative corpus, the next step is to analyse it using corpus tools. Corpus tools are software programs that allow you to search, manipulate, and analyse large collections of text. Here are some common corpus tools that you may use:

Term Frequency-Inverse Document Frequency (TF-IDF): TF-IDF is a statistical method that measures the importance of a word or phrase in a corpus. It is used to identify the most relevant and important words or phrases in a particular topic or theme.

Part-of-Speech Tagging: Part-of-speech tagging is the process of assigning a grammatical category to a word or phrase in a text. It is used to identify the grammatical structure of a sentence and to identify the most common words or phrases in a particular topic or theme.

Collocation Analysis: Collocation analysis is the study of how words or phrases are used together in a corpus. It is used to identify patterns and relationships between words or phrases and to identify the most common collocations in a particular topic or theme.

Topic Modelling: Topic modelling is the process of identifying the main topics or themes in a corpus of text. It is used to group similar words or phrases together and to identify the most important topics or themes in a particular topic or theme.

Benefits of Corpus Linguistics in Oral History Research

Corpus linguistics can provide a wealth of insights and benefits to oral history research. Here are some of the key benefits:

Illumination of Hidden Themes: Corpus linguistics can help to uncover hidden themes and perspectives that may otherwise remain hidden in oral history data. By analysing large collections of text, researchers can identify patterns and relationships that may not be apparent through traditional qualitative analysis.

Enhanced Understanding of Historical Context: Corpus linguistics can provide a deeper understanding of historical context by analysing the language and vocabulary used by speakers in a particular period or culture. By identifying the most common words and phrases, researchers can gain insights into the social, political, and economic conditions of the time.

Validation of Oral History Data: Corpus linguistics can help to validate oral history data by providing a quantitative and objective analysis of the data. By comparing the results of corpus analysis with traditional qualitative analysis, researchers can ensure that their findings are reliable and accurate.

Expansion of Research Methods: Corpus linguistics can expand the range of research methods available to oral history researchers. By using corpus tools, researchers can explore new topics and themes, and develop new methods for analysing and interpreting oral history data.

Conclusion

In conclusion, corpus linguistics can be a powerful tool for linguistic analysis of oral history data. By selecting a relevant and high-quality archive, constructing a representative corpus, and analysing the corpus using corpus tools, researchers can gain a deeper understanding of historical context, uncover hidden themes, validate oral history data, and expand the range of research methods available to them. As the field of corpus linguistics continues to evolve, it is likely to play an increasingly important role in oral history research.

Weight: 317g
Dimension: 234 x 156 (mm)
ISBN-13: 9781032224770