Language technologies are a set of computer-based tools and techniques that are used to process, understand, and generate human language. Some examples of language technologies include:
1. Natural Language Processing (NLP)
This is a subfield of artificial intelligence that deals with the interaction between computers and human languages. NLP techniques are used to analyze and understand human language, and can be used for tasks such as text summarization, sentiment analysis, and machine translation.
2. Automatic Speech Recognition (ASR)
This is a technology that enables computers to understand spoken language. ASR is used in a variety of applications, such as voice-controlled assistants, speech-to-text dictation, and call center automation.
3. Text-to-Speech (TTS)
TTS converts written text into spoken language. TTS is used in a variety of applications, such as speech synthesis for the visually impaired, voice assistants, and virtual customer service agents.
4. Machine Translation (MT)
This is a technology that automatically translates text from one language to another. MT is used in a variety of applications, such as website localization, multilingual customer service, and e-commerce.
5. Language Modeling
This is a technique that uses statistical and machine learning methods to model and generate human language. Language models are used in a variety of applications, such as language generation, text summarization, and question answering.
These are some examples, but the field of language technologies is rapidly evolving and new technologies are being developed all the time.