Corpus Analysis

Let Real Data Guide Your Translation Decisions

How do you know which term a profession actually uses, or which collocation sounds natural to native readers? Corpus linguistics answers these questions with evidence. This course teaches translators and terminologists how to build and analyze language corpora to make confident, data-backed decisions.

You will move from raw text to actionable insight, learning to:

• Collect and clean text to build a usable corpus
• Align English and Arabic texts into parallel corpora with LF Aligner
• Use AntConc for concordances, collocations, keyword lists, and frequency analysis
• Extract domain terminology and verify real-world usage
• Identify natural phrasing and avoid awkward, literal renderings
• Feed corpus findings into glossaries and CAT-tool termbases

Rather than memorizing theory, you will work directly inside the software, running searches on real bilingual material and interpreting what the patterns mean for your translation choices. We also connect corpus work to modern AI workflows, showing how a well-built corpus strengthens terminology consistency and quality control.

This is an essential skill for anyone working in specialized translation, terminology management, localization, or language data, where consistency and accuracy are non-negotiable. By the end you will be able to spin up a corpus for any new domain and let the data tell you how professionals in that field actually write.

Trade guesswork for evidence and raise the quality of every project you take on.