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- 479 creator anthony-hartley.
- 479 creator serge-sharoff.
- 479 creator svitlana-kurella.
- 479 type InProceedings.
- 479 label "Corpus-Based Tools for Computer-Assisted Acquisition of Reading Abilities in Cognate Languages".
- 479 sameAs 479.
- 479 abstract "This paper presents an approach to computer-assisted teaching of reading abilities using corpus data. The approach is supported by a set of tools for automatically selecting and classifying texts retrieved from the Internet. The approach is based on a linguistic model of textual cohesion which describes relations between larger textual units that go beyond the sentence level. We show that textual connectors that link such textual units reliably predict different types of texts, such as information and opinion : using only textual connectors as features, an SVM classifier achieves an F-score of between 0.85 and 0.93 for predicting these classes. The tools are used in our project on teaching reading skills in a cognate foreign language (L3) which is cognate to a known foreign language (L2).".
- 479 hasAuthorList authorList.
- 479 hasTopic Linguistics.
- 479 isPartOf proceedings.
- 479 keyword "Multilinguality".
- 479 keyword "Tools, systems, applications".
- 479 title "Corpus-Based Tools for Computer-Assisted Acquisition of Reading Abilities in Cognate Languages".
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- 48 creator bart-d-hoore.
- 48 creator henk-van-den-heuvel.
- 48 creator jean-pierre-martens.
- 48 creator kristof-d-hanens.
- 48 creator nanneke-konings.
- 48 type InProceedings.
- 48 label "The AUTONOMATA Spoken Names Corpus".
- 48 sameAs 48.
- 48 abstract "In the Autonomata project we have collected a corpus of spoken name utterances with manually corrected phonemic transcriptions of these utterances. The corpus was designed with the intention to become a major resource for the development of automatic speech recognition engines that can achieve a high accuracy on the recognition of person and geographical names spoken in Dutch. The recorded names were selected so as to reveal the major pronunciation variations that a speech recognizer of e.g. a navigation system with speech input is going to be confronted with. This includes native speakers speaking foreign names and vice versa.".
- 48 hasAuthorList authorList.
- 48 hasTopic Linguistics.
- 48 isPartOf proceedings.
- 48 keyword "Corpus (creation, annotation, etc.)".
- 48 keyword "Multilinguality".
- 48 keyword "Speech resource/database".
- 48 title "The AUTONOMATA Spoken Names Corpus".
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- 481 creator jan-pomikalek.
- 481 creator pavel-rychly.
- 481 type InProceedings.
- 481 label "Detecting Co-Derivative Documents in Large Text Collections".
- 481 sameAs 481.
- 481 abstract "We have analyzed the SPEX algorithm by Bernstein and Zobel (2004) for detecting co-derivative documents using duplicate n-grams. Although we totally agree with the claim that not using unique n-grams can greatly increase the efficiency and scalability of the process of detecting co-derivative documents, we have found serious bottlenecks in the way SPEX finds the duplicate n-grams. While the memory requirements for computing co-derivative documents can be reduced to up to 1% by only using duplicate n-grams, SPEX needs about 40 times more memory for computing the list of duplicate n-grams itself. Therefore the memory requirements of the whole process are not reduced enough to make the algorithm practical for very large collections. We propose a solution for this problem using an external sort with the suffix array in-memory sorting and temporary file compression. The proposed algorithm for computing duplicate n-grams uses a fixed amount of memory for any input size.".
- 481 hasAuthorList authorList.
- 481 hasTopic Linguistics.
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- 481 keyword "Corpus (creation, annotation, etc.)".
- 481 keyword "Digital libraries".
- 481 keyword "Document Classification, Text categorisation".
- 481 title "Detecting Co-Derivative Documents in Large Text Collections".
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