Enroll Course: https://www.coursera.org/learn/digital-humanities
In the ever-evolving landscape of digital humanities, the course “Sprachtechnologie in den Digital Humanities” offers a unique opportunity to delve into the intersection of language technology and digital scholarship. As of May 20, 2019, this course has entered its final round on Coursera, making it essential for interested learners to enroll before it becomes unavailable for new registrations. However, the course materials will remain accessible through their YouTube channel, ensuring that the knowledge shared can still reach eager minds.
### Course Overview
The course is structured into six comprehensive weeks, each focusing on different aspects of language technology in the context of digital humanities. Here’s a brief overview of what you can expect:
**Week 1: Pathways into the Digital World**
This week introduces the basics of digitizing texts, including XML representation and the practical implications of Optical Character Recognition (OCR). It sets the stage for understanding the creation of corpora and the challenges that come with it.
**Week 2: Structured and Sustainable Representation of Corpus Data**
In the second week, learners will explore structured representation using XML and key standards for text representation. The focus will also be on automatic text and word segmentation, which is crucial for data analysis.
**Week 3: Properties of Corpora and Basic Analysis Methods**
This week dives into the essential properties of corpora and foundational analysis methods in corpus linguistics. Key concepts such as word frequencies, collocations, and n-grams will be discussed, along with visual representation of text properties.
**Week 4: Automatic Corpus Annotation with Computational Linguistic Tools**
Learners will engage with automatic corpus annotation, exploring linguistic information like Part-Of-Speech tags and lemmas. The challenges of automatic annotation, including named entity recognition and syntax analysis, will also be covered.
**Week 5: Manual Annotation and Evaluation of Corpus Data**
This module focuses on efficient annotation strategies, the synergy between manual and automatic annotation through machine learning, and ensuring the quality of annotations. The concept of crowdsourcing for data collection and correction will also be introduced.
**Week 6: Challenges of Multilingual Text Analysis**
The final week addresses multilingual and parallel corpora, discussing automatic language identification and sentence/word alignment between texts in different languages, which is vital for comprehensive text analysis.
### Recommendation
I highly recommend this course for anyone interested in the digital humanities, linguistics, or language technology. The structured approach, combined with practical insights and challenges, makes it an invaluable resource. Whether you are a student, researcher, or professional in the field, the skills and knowledge gained from this course will enhance your understanding and capabilities in digital text analysis.
Don’t miss your chance to enroll before the course pauses on Coursera. Even if you miss the enrollment, the YouTube channel provides a wealth of resources that can still benefit your learning journey. Happy learning!
Enroll Course: https://www.coursera.org/learn/digital-humanities