Yorick Wilks works as a Professor of Computer Science at the University of Sheffield. There he directs the Institute for Language, Speech and Hearing. He received his MA and PhD (1968) from Pembroke College, Cambridge. He has also taught or researched at Stanford, Edinburgh, Geneva, Essex and New Mexico State Universities. His interests are artificial intelligence and […]
Yorick Wilks (1st Questionnaire).
mayo 4th, 2009 · Comments Off on Yorick Wilks (1st Questionnaire).
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“-GABE”
mayo 4th, 2009 · Comments Off on “-GABE”
Taldean aztergaitzat izan dogun parasufijo honi buruz topatu genun ikerketa lan interesgarri hau aurkeztuko deutsuet: XGabe. Lan hau hitz elkarketan oinarrituta badago ere (eratorpena lantzen baikabilz) oso aberasgarria izan da. EHU-k eginiko lana dala esan beharra dago. Era berean, Euskaltzaindiak Hitz-elkarketa/4. Hitz elkartuen osaera eta idazkera liburuan, hitz elkartuen eraketari dagokionez, gabe-k atal oso bat dauala nabarmentzekoa […]
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Q.3: Natural Language Interface, Question Answering (QA)
mayo 4th, 2009 · Comments Off on Q.3: Natural Language Interface, Question Answering (QA)
An Interface is an style and a great example of that style is the very said “natural language”. This style permits the contact and dialogue between human users and a computer. But we can say that sometimes the natural language is considered as too extreme fot the interface style to understand, so the user must […]
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QUESTIONNAIRE 2: Topics list
mayo 4th, 2009 · Comments Off on QUESTIONNAIRE 2: Topics list
Common Language Resources and Technology Infrastructure
Computational Semantis
The intelligent Library Assistant
Natural logic and inference
Semantic Taxonomy Induction
Detecting Contradiction in Text
Dialoging NPCs in natural game environments
Lexikoaren behatokia
Semantikoki etiketatutako euskarazko corpusa
Shallow Semantic Parcing
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Informazio berreskurapena
mayo 4th, 2009 · Comments Off on Informazio berreskurapena
Informazio berreskurapena, ingelesez “Information Retrieval” bezala ezagutua, dokumentuetan, datu baseetan edota metadatoetan burutzen den informazioaren bilketaren zientzia dugu. Bilaketa hau interneten zein intraneten burutu daiteke eta testu, irudi, soinu eta datuei lotuta egon daiteke. IR (Information Retrieval), disziplinen arteko ikerketa da, eta hainbeste disziplina biltzen ditu bere baitan non askotan, informazio partziala bakarrik jasotzen dugun, ikuspuntu batetik edo bestetik […]
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Martin Kay (1st questionnaire).
mayo 4th, 2009 · Comments Off on Martin Kay (1st questionnaire).
Martin Kay is a computer scientist. He is known for his work in computational linguistics. In the year 1958 he started to work at the Cambridge Language Research Unit , which is one of the earliest centers for research in what is now known as Computational Linguistics. Then, he moved to Santa Monica and became head of […]
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Informazio berreskurapena (Q.2)
mayo 4th, 2009 · Comments Off on Informazio berreskurapena (Q.2)
Lengoaia Naturalarekin lotzen de konplexutasuna handiagotu egiten da informazio testuala berreskuratu nahi dugunean. Horregatik asko erabiltzen dira LNP teknikak Informazio Testualaren Berreskurapenaren arloan. Alde batetik dokumentuen edukiaren deskripzioa errazteko, eta beste aldetik, erabiltzailearen kontsultaren errepresentazioa egiteko. Modu honetan bi deskripzioak konparatu egiten dira eta erabiltzaileari gehien komeni zaiona aurkezten zaio. Informazio Berreskurapen sistema batek honako […]
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Las impresiones de Ivan Herman ante WWW 2009
mayo 4th, 2009 · Comments Off on Las impresiones de Ivan Herman ante WWW 2009
Traducción de un artículo de Ivan Herman (de 26 de abril de 2009) realizada por Google (1 de mayo de 2009) y revisada por JosebaAbaitua (1-3 de mayo, 2009).
Como de costumbre, al tomar notas de un congreso como WWW2009, en Madrid, uno tiene sólo una visión parcial. Esto es todavía más cierto en el caso de un congreso de la talla […]
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Topic list for quiestionnaire 2
mayo 4th, 2009 · Comments Off on Topic list for quiestionnaire 2
1. Machine Translation
2. Information Retrieval
3 Automatic Summariation
4. Information Extraction
5. Word-Sense Disambiguation
6. Annotation Science
7. Language Generation and Text Planning
8. Multimodal Representations and Processing
9. Discourse and Pragmatics
10.Phonology/Morphology, POS Tagging, Word Segmentation
Internet Sources:
-Association for Computational Linguistics 2009. (2008-2009). In ACL-IJCNLP 2009. Retrieved 17:54, May 3, 2009, from http://www.acl-ijcnlp-2009.org/index.html
-Human Language Technologies: The Annual Conference of the North American […]
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