Friday, 12 November 2010
Wednesday, 10 November 2010
Monday, 8 November 2010
Searchable Parallel Corpora
1. CABAL: Un concordancier en ligne pour la linguistique contrastive
http://cabal.rezo.net/ (University of Poitiers)
English, French
Environ 200 articles sont actuellement en ligne (soit environ 400 000 mots). La majorité sont issus du Monde diplomatique et datés de 1998 à décembre 2003.
2. The CLUVI corpus:
http://sli.uvigo.es/CLUVI/
English, French, Spanish, Galician,
Corpus: UNESCO Corpus of English-Galician-French-
3. German(-English) parallel corpora (Europarl and German News)
http://corpus.leeds.ac.uk/
English, German
4. WebTCE (Translation Corpus Explorer)
http://khnt.hit.uib.no/webtce.
English, German, French, Spanish, Norwegian, Danish
5. EVROKORPUS Parallel corpora
http://evrokorpus.gov.si/
223 million words. English, French, German, Italian, Slovene and Spanish. Searches must involve Slovene and one other language.
6. TERMACOR terminology and corpus
http://evrokorpus.gov.si/k2/
98 million words in 22 European Languages. EU Commission data.
7. COMPARA Portuguese-English parallel corpus
http://www.linguateca.pt/
Three million words.
Portuguese, English
8. Termsearch
http://www.termsearch.info/ or a faster interface at:
http://www.bible-study-in-
English, French, Russian
Major international treaties, conventions, agreements, etc. 792 documents.
9. English-Inuktitut Parallel Corpus
http://www.inuktitutcomputing.
3.5 million words (of English), 1.5 million words of Inuktitut
English, Inuktitut (an Inuit Language of North-Eastern Canada)
10. English-Russian Parallel Corpus
http://ruscorpora.ru/search-
English, Russian, (some German?)
Interface only in Russian.
About 9 million words
13. http://corpus.consumer.es/
14. OPUS:
http://www.let.rug.nl/
http://www.let.rug.nl/
15. LinearB
16. MyMemories
http://mymemory.translated.
17. Natura corpora
http://linguateca.di.uminho.
18. Compara
http://www.linguateca.pt/
19. CLUVI
20. English-Chinese
http://score.crpp.nie.edu.sg/
22. English-Vietnamese
http://hellochao.com/
http://linkdict.com/Bilingual/
Tuesday, 2 November 2010
Tuesday, 19 October 2010
Saturday, 9 October 2010
Selected Papers at EMNLP'10
D10-1050 [bib]: Kristian Woodsend; Yansong Feng; Mirella Lapata
Title Generation with Quasi-Synchronous Grammar
D10-1049 [bib]: Gabor Angeli; Percy Liang; Dan Klein
A Simple Domain-Independent Probabilistic Approach to Generation
D10-1047 [bib]: Ahmet Aker; Trevor Cohn; Robert Gaizauskas
Multi-Document Summarization Using A* Search and Discriminative Learning
D10-1007 [bib]: Michael Paul; ChengXiang Zhai; Roxana Girju
Summarizing Contrastive Viewpoints in Opinionated Text
Keyphrase Extraction via Topic Modeling
D10-1036 [bib]: Zhiyuan Liu; Wenyi Huang; Yabin Zheng; Maosong Sun
Automatic Keyphrase Extraction via Topic Decomposition
Question Answering
D10-1010 [bib]: Razvan Bunescu; Yunfeng Huang
Learning the Relative Usefulness of Questions in Community QA
Information Extraction
D10-1099 [bib]: Limin Yao; Sebastian Riedel; Andrew McCallum
Collective Cross-Document Relation Extraction Without Labelled Data
D10-1107 [bib]: Quang Do; Dan Roth
Constraints Based Taxonomic Relation Classification
D10-1123 [bib]: Thomas Lin; Mausam; Oren Etzioni
Identifying Functional Relations in Web Text
Verb Selection in Language Learning
D10-1104 [bib]: Xiaohua Liu; Bo Han; Kuan Li; Stephan Hyeonjun Stiller; Ming Zhou
SRL-Based Verb Selection for ESL
Friday, 10 September 2010
Selected Papers at COLING'10
C10-1074 [bib]: Fangtao Li; Chao Han; Minlie Huang; Xiaoyan Zhu; Ying-Ju Xia; Shu Zhang; Hao Yu
Structure-Aware Review Mining and Summarization
C10-1101 [bib]: Vahed Qazvinian; Dragomir R. Radev; Arzucan Ozgur
Citation Summarization Through Keyphrase Extraction
C10-1111 [bib]: Chao Shen; Tao Li
Multi-Document Summarization via the Minimum Dominating Set
Information Extraction
C10-1018 [bib]: Yee Seng Chan; Dan Roth
Exploiting Background Knowledge for Relation Extraction
C10-2058 [bib]: Heng Ji
Challenges from Information Extraction to Information Fusion
C10-2041 [bib]: Brian Harrington
A Semantic Network Approach to Measuring Relatedness
(http://www.aclweb.org/anthology/C/C10/)