Exploring temporal context in diachronic text documents for automatic OOV proper name retrieval
Identifieur interne : 000F05 ( Main/Exploration ); précédent : 000F04; suivant : 000F06Exploring temporal context in diachronic text documents for automatic OOV proper name retrieval
Auteurs : Imane Nkairi [France] ; Irina Illina [France] ; Georges Linarès [France] ; Dominique Fohr [France]Source :
English descriptors
Abstract
Proper name recognition is a challenging task in information retrieval in large audio/video databases. Proper names are semantically rich and are usually key to understanding the information contained in a document. Our work focuses on increasing the vocabulary coverage of a speech transcription system by automatically retrieving proper names from contemporary diachronic text documents. We proposed methods that dynamically augment the automatic speech recognition system vocabulary, using lexical and temporal features in diachronic documents. We also studied different metrics for proper name selection in order to limit the vocabulary augmentation and therefore the impact on the ASR performances. Recognition results show a significant reduction of the word error rate using augmented vocabulary.
Url:
Affiliations:
- France
- Grand Est, Lorraine (région), Provence-Alpes-Côte d'Azur
- Avignon, Metz, Nancy
- Université d'Avignon, Université de Lorraine
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Le document en format XML
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CS 25233 - 54052 Nancy cedex</addrLine><country key="FR"></country></address><ref type="url">http://www.univ-lorraine.fr/</ref></desc></org></tutelle><tutelle name="UMR7503" active="#struct-441569" type="indirect"><org type="institution" xml:id="struct-441569" status="VALID"><idno type="ISNI">0000000122597504</idno><idno type="IdRef">02636817X</idno><orgName>Centre National de la Recherche Scientifique</orgName><orgName type="acronym">CNRS</orgName><date type="start">1939-10-19</date><desc><address><country key="FR"></country></address><ref type="url">http://www.cnrs.fr/</ref></desc></org></tutelle></tutelles></hal:affiliation><country>France</country><placeName><settlement type="city">Nancy</settlement><settlement type="city">Metz</settlement><region type="region" nuts="2">Grand Est</region><region type="old region" nuts="2">Lorraine (région)</region></placeName><orgName type="university">Université de Lorraine</orgName></affiliation></author><author><name sortKey="Linares, Georges" sort="Linares, Georges" uniqKey="Linares G" first="Georges" last="Linarès">Georges Linarès</name><affiliation wicri:level="1"><hal:affiliation type="laboratory" xml:id="struct-100376" status="VALID"><orgName>Laboratoire Informatique d'Avignon</orgName><orgName type="acronym">LIA</orgName><desc><address><addrLine>339 Chemin des Meinajaries Agroparc BP 1228 84911 Avignon cedex 9</addrLine><country key="FR"></country></address><ref type="url">http://lia.univ-avignon.fr/</ref></desc><listRelation><relation active="#struct-195507" type="direct"></relation><relation active="#struct-302221" type="direct"></relation></listRelation><tutelles><tutelle active="#struct-195507" type="direct"><org type="institution" xml:id="struct-195507" status="VALID"><orgName>Université d'Avignon et des Pays de Vaucluse</orgName><orgName type="acronym">UAPV</orgName><desc><address><addrLine>74 rue Louis Pasteur - 84 029 Avignon cedex 1</addrLine><country key="FR"></country></address><ref type="url">http://www.univ-avignon.fr/</ref></desc></org></tutelle><tutelle active="#struct-302221" type="direct"><org type="institution" xml:id="struct-302221" status="VALID"><orgName>Centre d'Enseignement et de Recherche en Informatique - CERI</orgName><desc><address><country key="FR"></country></address></desc></org></tutelle></tutelles></hal:affiliation><country>France</country><placeName><settlement type="city">Avignon</settlement><region type="region" nuts="2">Provence-Alpes-Côte d'Azur</region></placeName><orgName type="university">Université d'Avignon</orgName></affiliation></author><author><name sortKey="Fohr, Dominique" sort="Fohr, Dominique" uniqKey="Fohr D" first="Dominique" last="Fohr">Dominique Fohr</name><affiliation wicri:level="1"><hal:affiliation type="researchteam" xml:id="struct-205127" status="OLD"><idno type="RNSR">200118295L</idno><orgName>Analysis, perception and recognition of speech</orgName><orgName type="acronym">PAROLE</orgName><date type="end">2014-06-30</date><desc><address><country key="FR"></country></address><ref type="url">http://www.inria.fr/equipes/parole</ref></desc><listRelation><relation active="#struct-129671" type="direct"></relation><relation active="#struct-300009" type="indirect"></relation><relation active="#struct-423086" type="direct"></relation><relation active="#struct-206040" type="indirect"></relation><relation active="#struct-413289" type="indirect"></relation><relation name="UMR7503" active="#struct-441569" type="indirect"></relation></listRelation><tutelles><tutelle active="#struct-129671" type="direct"><org type="laboratory" xml:id="struct-129671" status="VALID"><idno type="RNSR">198618246Y</idno><orgName>INRIA Nancy - 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CS 25233 - 54052 Nancy cedex</addrLine><country key="FR"></country></address><ref type="url">http://www.univ-lorraine.fr/</ref></desc></org></tutelle><tutelle name="UMR7503" active="#struct-441569" type="indirect"><org type="institution" xml:id="struct-441569" status="VALID"><idno type="ISNI">0000000122597504</idno><idno type="IdRef">02636817X</idno><orgName>Centre National de la Recherche Scientifique</orgName><orgName type="acronym">CNRS</orgName><date type="start">1939-10-19</date><desc><address><country key="FR"></country></address><ref type="url">http://www.cnrs.fr/</ref></desc></org></tutelle></tutelles></hal:affiliation><country>France</country><placeName><settlement type="city">Nancy</settlement><settlement type="city">Metz</settlement><region type="region" nuts="2">Grand Est</region><region type="old region" nuts="2">Lorraine (région)</region></placeName><orgName type="university">Université de Lorraine</orgName></affiliation></author></analytic></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="mix" xml:lang="en"><term>out-of-vocabulary words</term><term>peech recognition</term><term>proper names</term><term>vocabulary augmentation</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Proper name recognition is a challenging task in information retrieval in large audio/video databases. Proper names are semantically rich and are usually key to understanding the information contained in a document. Our work focuses on increasing the vocabulary coverage of a speech transcription system by automatically retrieving proper names from contemporary diachronic text documents. We proposed methods that dynamically augment the automatic speech recognition system vocabulary, using lexical and temporal features in diachronic documents. We also studied different metrics for proper name selection in order to limit the vocabulary augmentation and therefore the impact on the ASR performances. Recognition results show a significant reduction of the word error rate using augmented vocabulary.</div></front></TEI><affiliations><list><country><li>France</li></country><region><li>Grand Est</li><li>Lorraine (région)</li><li>Provence-Alpes-Côte d'Azur</li></region><settlement><li>Avignon</li><li>Metz</li><li>Nancy</li></settlement><orgName><li>Université d'Avignon</li><li>Université de Lorraine</li></orgName></list><tree><country name="France"><region name="Grand Est"><name sortKey="Nkairi, Imane" sort="Nkairi, Imane" uniqKey="Nkairi I" first="Imane" last="Nkairi">Imane Nkairi</name></region><name sortKey="Fohr, Dominique" sort="Fohr, Dominique" uniqKey="Fohr D" first="Dominique" last="Fohr">Dominique Fohr</name><name sortKey="Illina, Irina" sort="Illina, Irina" uniqKey="Illina I" first="Irina" last="Illina">Irina Illina</name><name sortKey="Linares, Georges" sort="Linares, Georges" uniqKey="Linares G" first="Georges" last="Linarès">Georges Linarès</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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|texte= Exploring temporal context in diachronic text documents for automatic OOV proper name retrieval
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