QUESTIONARIE 2: The Intelligent Library Assistant (DiLiA)

According to the Language Technology Lab “the focus of the project is research and development for novel access to information in digital libraries. Digital libraries store information from diverse areas, e.g. scientific articles, and offer a web-based access to these digital formats. The user currently can search via names, standardized key words or other text-based means.”

In DiLiA methods will be developed that extends this access by several dimensions. On the one hand, the user will be suppoerted and guided by allowing her to visually investigate relevant search result sets. On the other hand, methods will be developed to extract cross links and semantic relations from a document set selected by the user..

We assume that a DiLiA user is searching for literature within a defined but not precisely specified area. Neither does she know exactly about the coverage of the digital library, and how it is indexed internally. To narrow down the set of possibly relevant documents (books, articles, other media), an interactive search based on dialogues between the user and the system will be carried out opening up the contents of the documents.

The DiLiA project will realize the following innovative aspects that are combined in the given way for the first time:

• Investigation, supply and adaptation of the contents of a real digital library for interactive information extraction
• Hybrid information extraction based on a combination of metadata and document processing
• Development of domain-adaptive deep methods for information extraction using the example of biomedical documents
• Prototypical development of interactive personalized navigation allowing the user of the digital library an intuitive multimodal search.

REFERENCES:

*DFKILT (Language Technology Lab) DiLiA. Retrieved 25th May 2009, 13:15 from http://www.dfki.de/lt//project.php?id=Project_447&l=en

QUESTIONARIE 2: Automatic Language Identification (ALI)

Automatic Language Identification (ALI) is the problem of automatically identifying the language of an utterance through the use of a computer. In 1977, House and Neuburg proposed an approach to ALI which focused on the phonotactic constraints of different languages. Their work suggested that simple language models could be used effectively for language identification if an accurate phonetic representation of an utterance could be obtained from the acoustic signal. Some research utilizes House and Neuburg’s ideas in this centres are investigating a starting point for a new segment-based approach to ALI. To develop a solid theoretical basis for the design of an ALI system, a formal probabilistic framework has been developed. This framework uses House and Neuburg’s ideas as its foundation but also utilizes additional information that may be useful for ALI. Specifically, phonotactic, acoustic and prosodic information are all incorporated into the framework which provides the structure for the segment-based system.

EXAMPLES:

• A bilingual voyager system
• Language identification using noisy speech
• Language recognition test and evaluation
• Automatic language ientification
• An automatic language identification

REFERENCES:

*Citeseer. Retrieved 21th May 2009, 16:53 from http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.17.2948

* Language traslation. Retrieved 21th May 2009,16:53 from http://www.translation-guide.com/language_identification.htm

QUESTIONARIE 2: List of topics

These are the 12 topics I have chosen:

1. Multilingual Tourist Information on the World Wide Web (MIETTA)
2. Intelligent Extraction of Information from On-line documents (PARADIME)
3. The Intelligent Library Assistant (DiLiA)
4. Controlled Semantic-based Question Answering (ConQA)
5. Collaborating Using Diagrams (Study of how pairs collaborate when in planning a route on a map)
6. Machine Learning for Named Entity Recognition (SEER)
7. Answer Extraction
8. Lexical-Functional Grammar
9. Natural logic and interface
10. Citizens Advanced Relationship Management
11. Text-to-speech Synthesis
12. Automatic Language Identification

RESOURCES:

*Projects. In Language technology world. Retrieved 21th May 2009, 16:22 from: http://www.lt-world.org/

*Language Technology Lab, current projects. Retrieved: 21th May 2009, 16:24. From http://www.dfki.de/lt/current_projects.php

*Language Technology Lab, completed projects. Retrieved: 21th May 2009 16:25. From http://www.dfki.de/lt/completed_projects.php