Matches in ScholarlyData for { ?s ?p ?o. }
- item-3 hasContent anthony-hartley.
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- 342 creator claire-grover.
- 342 creator julian-ball.
- 342 creator richard-tobin.
- 342 creator sharon-givon.
- 342 type InProceedings.
- 342 label "Named Entity Recognition for Digitised Historical Texts".
- 342 sameAs 342.
- 342 abstract "We describe and evaluate a prototype system for recognising person and place names in digitised records of British parliamentary proceedings from the late 17th and early 19th centuries. The output of an OCR engine is the input for our system and we describe certain issues and errors in this data and discuss the methods we have used to overcome the problems. We describe our rule-based named entity recognition system for person and place names which is implemented using the LT-XML2 and LT-TTT2 text processing tools. We discuss the annotation of a development and testing corpus and provide results of an evaluation of our system on the test corpus.".
- 342 hasAuthorList authorList.
- 342 hasTopic Linguistics.
- 342 isPartOf proceedings.
- 342 keyword "Digital libraries".
- 342 keyword "Information Extraction, Information Retrieval".
- 342 keyword "Named Entity recognition".
- 342 title "Named Entity Recognition for Digitised Historical Texts".
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- item-1 hasContent claire-grover.
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- item-2 hasContent sharon-givon.
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- item-3 hasContent richard-tobin.
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- item-4 hasContent julian-ball.
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- 343 creator anna-feldman.
- 343 creator eileen-fitzpatrick.
- 343 creator ghazi-abuhakema.
- 343 creator reem-faraj.
- 343 type InProceedings.
- 343 label "Annotating an Arabic Learner Corpus for Error".
- 343 sameAs 343.
- 343 abstract "This paper describes an ongoing project in which we are collecting a learner corpus of Arabic, developing a tagset for error annotation and performing Computer-aided Error Analysis (CEA) on the data. We adapted the French Interlanguage Database FRIDA tagset (Granger, 2003a) to the data. We chose FRIDA in order to follow a known standard and to see whether the changes needed to move from a French to an Arabic tagset would give us a measure of the distance between the two languages with respect to learner difficulty. The current collection of texts, which is constantly growing, contains intermediate and advanced-level student writings. We describe the need for such corpora, the learner data we have collected and the tagset we have developed. We also describe the error frequency distribution of both proficiency levels and the ongoing work.".
- 343 hasAuthorList authorList.
- 343 hasTopic Linguistics.
- 343 isPartOf proceedings.
- 343 keyword "Corpus (creation, annotation, etc.)".
- 343 keyword "Other".
- 343 keyword "Tagging".
- 343 title "Annotating an Arabic Learner Corpus for Error".
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- item-1 hasContent ghazi-abuhakema.
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- item-2 hasContent reem-faraj.
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- item-3 hasContent anna-feldman.
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- item-4 hasContent eileen-fitzpatrick.
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- 344 creator francois-capman.
- 344 creator frederic-beaugendre.
- 344 creator tomas-dekens.
- 344 creator werner-verhelst.
- 344 creator yorgos-patsis.
- 344 type InProceedings.
- 344 label "A Multi-sensor Speech Database with Applications towards Robust Speech Processing in hostile Environments".
- 344 sameAs 344.
- 344 abstract "In this paper, we present a database with speech in different types of background noises. The speech and noise were recorded with a set of different microphones and including some sensors that pick up the speech vibrations by making contact with the skull, the throat and the ear canal, respectively. As these sensors should be less sensitive to noise sources, our database can be especially useful for investigating the properties of these special microphones and comparing them to those of conventional microphones for applications requiring noise robust speech capturing and processing. In this paper we describe some experiments that were carried out using this database in the field of Voice Activity Detection (VAD). It is shown that the signals of a special microphone such as the throat microphone exhibit a high signal to noise ratio and that this property can be exploited to significantly improve the accuracy of a VAD algorithm.".
- 344 hasAuthorList authorList.
- 344 hasTopic Linguistics.
- 344 isPartOf proceedings.
- 344 keyword "Multilinguality".
- 344 keyword "Other".
- 344 keyword "Speech resource/database".
- 344 title "A Multi-sensor Speech Database with Applications towards Robust Speech Processing in hostile Environments".
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- item-1 hasContent tomas-dekens.