32253 English Language and New Technologies
[ Activities |
The general objective of this course is to become acquainted with new
technologies applied to natural languages in general and to English in
- Describe the different senses and usages of the terms
- Human Language Technologies
- Natural Language Processing
- Computational Linguistics
- Language Engineering
- Does the notion of "Information Society" have any relation to
- Is there any concern in Europe with Human Langugae Technologies?
- What is the current situation of the HLTCentral.org office?
- Language Engineering and the Information Society (Document from
- Living and Working Together in the Information Society (Discussion Document from
- Information Policy for an Information Society (Paper by Mairéad Browne -
- Human Language Technologies and the information society (Presentation of
Action Line, by the EC: caché)
- What is Language Technology, by Hans Uszkoreit (caché in PDF)
- What is Computational Linguistics?, by Hans Uszkoreit (caché)
- Which are the main techniques used in Language Engineering?
- Which language resources are essential components of Language Engineering?
- Check for the following terms (choose at least five):
- language guesser
- multimodal corpora
- part-of-speech tagging
- morphological analysis
- shallow parser
- spoken language translation
- translator's workbench
- shallow parser
- speech recognition
- text alignment
- authoring tools
- controlled language
- What is the state of the art in Speech Technology?
- Explain the main differences between speech recognition and speech
- Speech-to-speech machine translation. List and describe at least three
- Why is information processing a problem?
- How much new information is created each year?
- How can HLT contribute to solve this problem?
- How Intelligent can be Intelligent Text Processing?
- Will the semantic web be a solution to the current web situation?
- We now know that MT is difficult, despite the fact of being the first and
more widespread computer-based application related to natural language. This
week we are going to learn about MT: history, methods, approaches, best known
- Which are the most usual interpretations of the term "machine
- What do FAHQT and ALPAC mean in the evolution of MT?
- List some of the major methods, techniques and approaches
- Where was MT ten years ago?
- New directions and foreseeable breakthroughs of MT in the sort term.
- Machine Translation (MT) is a possible way of overcoming language barriers.
However output quality is often a problem. Let us see why.
- Which are the main problems of MT?
- Which parts of Linguistics are more relevant for MT?
- Select two examples of lexical ambiguity
- Select one example of structural ambiguity
- Lexical and structural mismatches
- Idiomatic expressions
- Reference on-line
- Computer/Machine aided Translation (CAT or MAT) is an interesting
complement to Machine Translation. Many translation professionals view it as an
alternative to MT, and they prefer this idea because their role is mantained
and their productivity and capacity considerably augmented.
- How would you describe CAT? Talk about its main functions.
- What are Translation Memories (TM)? Define TMX and talk of its
- Give the reference of at least five TM systems.
© Joseba Abaitua, Universidad de Deusto