Matches in ScholarlyData for { ?s ?p ?o. }
- 855 type InProceedings.
- 855 label "Developments of Lëtzebuergesch Resources for Automatic Speech Processing and Linguistic Studies".
- 855 sameAs 855.
- 855 abstract "In the present contribution we start with an overview of the linguistic situation of Luxembourg. We then describe specificities of spoken and written Lëtzebuergesch, with respect to automatic speech processing. Multilingual code-switching and code-mixing, poor writing standardization as compared to languages such as English or French, a large diversity of spoken varieties, together with a limited written production of Lëtzebuergesch language contribute to pose many interesting challenges to automatic speech processing both for speech technologies and linguistic studies. Multilingual filtering has been investigated to sort out Luxembourgish from German and French. Word list coverage and language model perplexity results, using sibling resources collected from the Web, are presented. A phonemic inventory has been adopted for pronunciation dictionary development, a grapheme-phoneme tool has been developed and pronunciation research issues related to the multilingual context are highlighted. Results achieved in resource development allow to envision the realisation of an ASR system.".
- 855 hasAuthorList authorList.
- 855 hasTopic Linguistics.
- 855 isPartOf proceedings.
- 855 keyword "Corpus (creation, annotation, etc.)".
- 855 keyword "Endangered languages".
- 855 keyword "Speech recognition and understanding".
- 855 title "Developments of Lëtzebuergesch Resources for Automatic Speech Processing and Linguistic Studies".
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- item-1 hasContent martine-adda-decker.
- item-1 next item-2.
- item-2 type ListItem.
- item-2 hasContent thomas-pellegrini.
- item-2 next item-3.
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- item-3 type ListItem.
- item-3 hasContent eric-bilinski.
- item-3 next item-4.
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- item-4 type ListItem.
- item-4 hasContent gilles-adda.
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- 856 creator alexandre-allauzen.
- 856 creator helene-bonneau-maynard.
- 856 type InProceedings.
- 856 label "Training and Evaluation of POS Taggers on the French MULTITAG Corpus".
- 856 sameAs 856.
- 856 abstract "The explicit introduction of morphosyntactic information into statistical machine translation approaches is receiving an important focus of attention. The current freely available Part of Speech (POS) taggers for the French language are based on a limited tagset which does not account for some flectional particularities. Moreover, there is a lack of a unified framework of training and evaluation for these kinds of linguistic resources. Therefore in this paper, three standard POS taggers (Treetagger, Brill s tagger and the standard HMM POS tagger) are trained and evaluated in the same conditions on the French MULTITAG corpus. This POS-tagged corpus provides a tagset richer than the usual ones, including gender and number distinctions, for example. Experimental results show significant differences of performance between the taggers. According to the tagging accuracy estimated with a tagset of 300 items, taggers may be ranked as follows: Treetagger (95.7%), Brill s tagger (94.6%), HMM tagger (93.4%). Examples of translation outputs illustrate how considering gender and number distinctions in the POS tagset can be relevant.".
- 856 hasAuthorList authorList.
- 856 hasTopic Linguistics.
- 856 isPartOf proceedings.
- 856 keyword "Machine Translation, SpeechToSpeech Translation".
- 856 keyword "Tagging".
- 856 keyword "Validation of LRs".
- 856 title "Training and Evaluation of POS Taggers on the French MULTITAG Corpus".
- authorList type List.
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- item-1 type ListItem.
- item-1 hasContent alexandre-allauzen.
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- item-2 type ListItem.
- item-2 hasContent helene-bonneau-maynard.
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- 858 creator andras-kornai.
- 858 creator daniel-varga.
- 858 creator peter-halacsy.
- 858 creator peter-nemeth.
- 858 type InProceedings.
- 858 label "Parallel Creation of Gigaword Corpora for Medium Density Languages - an Interim Report".
- 858 sameAs 858.
- 858 abstract "For increased speed in developing gigaword language resources for medium resource density languages we integrated several FOSS tools in the HUN* toolkit. While the speed and efficiency of the resulting pipeline has surpassed our expectations, our experience in developing LDC-style resource packages for Uzbek and Kurdish makes clear that neither the data collection nor the subsequent processing stages can be fully automated.".
- 858 hasAuthorList authorList.
- 858 hasTopic Linguistics.
- 858 isPartOf proceedings.
- 858 keyword "Corpus (creation, annotation, etc.)".
- 858 keyword "Multilinguality".
- 858 keyword "Tools, systems, applications".
- 858 title "Parallel Creation of Gigaword Corpora for Medium Density Languages - an Interim Report".
- authorList type List.
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- authorList hasItem item-2.
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- authorList hasItem item-4.
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- item-1 type ListItem.
- item-1 hasContent peter-halacsy.
- item-1 next item-2.
- item-2 type ListItem.
- item-2 hasContent andras-kornai.
- item-2 next item-3.
- item-2 previous item-1.
- item-3 type ListItem.
- item-3 hasContent peter-nemeth.
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- item-4 type ListItem.
- item-4 hasContent daniel-varga.
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- 86 creator alain-joubert.
- 86 creator mathieu-lafourcade.
- 86 type InProceedings.
- 86 label "Evolutionary Basic Notions for a Thematic Representation of General Knowledge".
- 86 sameAs 86.
- 86 abstract "In the field of Natural Language Processing, in order to work out a thematic representation system of general knowledge, methods relying on thesaurus have been used for about twenty years. A thesaurus consists of a set of concepts which define a generating system of a vector space modelling general knowledge. These concepts, often organized in a treelike structure, constitute a fundamental, but completely fixed tool. Even if the concepts evolve (we think for example of the technical fields), a thesaurus as for it can evolve only at the time of a particularly heavy process, because it requires the collaboration of human experts. After detailing the characteristics which a generating system of the vector space of knowledge modelling must have, we define the basic notions . Basic notions, whose construction is initially based on the concepts of a thesaurus, constitute another generating system of this vector space. We then approach the determination of the acceptions expressing the basic notions. Lastly, we clarify how, being freed from the concepts of the thesaurus, the basic notions evolve progressively with the analysis of new texts by an iterative process.".
- 86 hasAuthorList authorList.
- 86 hasTopic Linguistics.