Enroll now in this 100% online Postgraduate certificate, in which you will delve into the generation of linguistic models developed through advanced Artificial Intelligence tools”

Artificial Intelligence-based linguistic models are changing the way Humanities professionals analyze and understand language and textual data. In fact, some commonly used tools, supported by deep neural networks, allow massive text processing, facilitating the analysis of large volumes of information, from sociological studies to political research.

This is how this Postgraduate certificate was created, which will delve into theories such as generative grammar, structural linguistics and formal grammar, highlighting how these conceptual foundations are still applicable in the development of AI models. In this sense, practical applications of these models in the automation of language processing will be presented.

Also, probabilistic models in linguistics and their application in Artificial Intelligence will be discussed, including Hidden Markov Models (HMM) and statistical language models. It will also address supervised and unsupervised learning algorithms, and how they are implemented in technologies such as speech recognition and automatic text processing.

Finally, deep learning models applied to Natural Language Processing (NLP) will be explored, delving into convolutional, recurrent and LSTM neural networks, as well as attention models and transformers. These technologies are fundamental for advanced applications such as machine translation, text generation and sentiment analysis. In addition, it will analyze how these models allow the creation of robust systems that understand and generate language fluently, improving the interaction between humans and machines in increasingly complex environments.

In this way, this 100% online program will offer graduates the flexibility to study from anywhere and at any time that suits them best. All they need is an electronic device with Internet access to access all the teaching materials. In addition, the revolutionary Relearning methodology will be implemented, which promotes effective learning through continuous repetition.

You will successfully manage deep learning models in linguistics, as well as their use in Artificial Intelligence, with the help of the revolutionary Relearning methodology, a pioneer in TECH”

This Postgraduate certificate in Linguistic Models and Artificial Intelligence Application contains the most complete and up-to date program on the market. The most important features include:

• The development of case studies presented by experts in Artificial Intelligence applied to Translation and Interpreting
• The graphic, schematic, and practical contents with which they are created, provide practical information on the disciplines that are essential for professional practice
• Practical exercises where self-assessment can be used to improve learning
• Its special emphasis on innovative methodologies 
• Theoretical lessons, questions to the expert, debate forums on controversial topics, and individual reflection assignments
• Content that is accessible from any fixed or portable device with an Internet connection

You will reinforce your knowledge in formal grammar and rule systems, complementing this training with the handling of advanced AI programs, all thanks to an extensive library of innovative multimedia resources”

The program’s teaching staff includes professionals from the sector who contribute their work experience to this training program, as well as renowned specialists from leading societies and prestigious universities.

The multimedia content, developed with the latest educational technology, will provide the professional with situated and contextual learning, i.e., a simulated environment that will provide immersive education programmed to learn in real situations.

This program is designed around Problem-Based Learning, whereby the professional must try to solve the different professional practice situations that arise during the course. For this purpose, students will be assisted by an innovative interactive video system created by renowned experts in the field of educational coaching with extensive experience.

Become a professional with a unique background, mastering the main theories on structural linguistics, classical models in Artificial Intelligence and other essential knowledge"

You will tackle different probabilistic models in linguistics, using applications in speech recognition and text processing, for the proposition of new AI-based linguistic models"

This academic program will cover a variety of AI-driven linguistic models, with a focus on their application in Natural Language Processing (NLP). It will also provide an analysis of probabilistic models, rule-based methods and learning techniques, enabling professionals to use these tools in tasks such as machine translation and real-time interpretation. In addition, the focus of this program will be divided into theory and practice, integrating relevant scientific content and real case studies.

This comprehensive and up-to-date curriculum will ensure you acquire knowledge focused on conditioned and controlled text generation, as well as applications in machine writing”

Module 1. Linguistic Models and Artificial Intelligence Application

1.1. Classical Models of Linguistics and their Relevance to AI

1.1.1. Generative and Transformational Grammar
1.1.2. Structural Linguistic Theory
1.1.3. Formal Grammar Theory
1.1.4. Applications of Classical Models in AI

1.2. Probabilistic Models in Linguistics and Their Application in AI

1.2.1. Hidden Markov Models (HMM)
1.2.2. Statistical Language Models
1.2.3. Supervised and Unsupervised Learning Algorithms
1.2.4. Applications in Speech Recognition and Text Processing

1.3. Rule-Based Models and Their Implementation in AI. GPT

1.3.1. Formal Grammars and Rule Systems
1.3.2. Knowledge Representation and Computational Logic
1.3.3. Expert Systems and Inference Engines
1.3.4. Applications in Dialog Systems and Virtual Assistants

1.4. Deep Learning Models in Linguistics and Their Use in AI

1.4.1. Convolutional Neural Networks for Text Processing
1.4.2. Recurrent Neural Networks and LSTM for Sequence Modeling
1.4.3. Attention Models and Transformers. APERTIUM
1.4.4. Applications in Machine Translation, Text Generation and Sentiment Analysis

1.5. Distributed Language Representations and Their Impact on AI

1.5.1. Word Embeddings and Vector Space Models
1.5.2. Distributed Representations of Sentences and Documents
1.5.3. Bag-of-Words Models and Continuous Language Models
1.5.4. Applications in Information Retrieval, Document Clustering and Content Recommendation

1.6. Machine Translation Models and Their Evolution in AI. Lilt

1.6.1. Statistical and Rule-Based Translation Models
1.6.2. Advances in Neural Machine Translation
1.6.3. Hybrid Approaches and Multilingual Models
1.6.4. Applications in Online Translation and Content Localization Services

1.7. Sentiment Analysis Models and Their Usefulness in AI

1.7.1. Sentiment Classification Methods
1.7.2. Detection of Emotions in Text
1.7.3. Analysis of User Opinions and Comments
1.7.4. Applications in Social Networks, Analysis of Product Opinions and Customer Service

1.8. Language Generation Models and Their Application in AI. TransPerfect Globallink

1.8.1. Autoregressive Text Generation Models
1.8.2. Conditioned and Controlled Text Generation
1.8.3. GPT-Based Natural Language Generation Models
1.8.4. Applications in Automatic Typing, Text Summarization, and Intelligent Conversation

1.9. Speech Recognition Models and Their Integration in AI

1.9.1. Audio Feature Extraction Methods
1.9.2. Speech Recognition Models Based on Neural Networks
1.9.3. Improvements in Speech Recognition Accuracy and Robustness
1.9.4. Applications in Virtual Assistants, Transcription Systems and Speech-based Device Control

1.10. Challenges and Future of Linguistic Models in AI

1.10.1. Challenges in Natural Language Understanding
1.10.2. Limitations and Biases in Current Linguistic Models
1.10.3. Research and Future Trends in AI Linguistic Modeling
1.10.4. Impact on Future Applications such as General Artificial Intelligence (AGI) and Human Language Understanding. SmartCAt

This program has been designed for Humanities professionals with an interest in understanding the impact of human understanding of language on future applications of Artificial General Intelligence (AGI)”