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- item-1 hasContent sasa-hasan.
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- 55 creator briony-williams.
- 55 creator rhys-james-jones.
- 55 type InProceedings.
- 55 label "Acquiring Pronunciation Data for a Placenames Lexicon in a Less-Resourced Language".
- 55 sameAs 55.
- 55 abstract "A new procedure is described for generating pronunciations for a dictionary of place-names in a less-resourced language (Welsh, spoken in Wales, UK). The method is suitable for use in a situation where there is a lack of skilled phoneticians with expertise in the language, but where there are native speakers available, as well as a text-to-speech synthesiser for the language. The lack of skilled phoneticians will make it impossible to carry out direct editing of pronunciations, and so a method has been devised that makes it possible for non-phonetician native speakers to edit pronunciations without knowledge of the phonology of the language. The key advance in this method is the use of re-spelling to indicate pronunciation in a linguistically-naïve fashion on the part of the non-specialist native speaker. The re-spelled forms of placenames are used to drive a set of specially-adapted letter-to-sound rules, which generate the pronunciations desired. The speech synthesiser is used to provide audio feedback to the native speaker editor for purposes of verification. A graphical user interface acts as the link between the database, the speech synthesiser and the native speaker editor. This method has been used successfully to generate pronunciations for placenames in Wales.".
- 55 hasAuthorList authorList.
- 55 hasTopic Linguistics.
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- 55 keyword "Lexicon, lexical database".
- 55 keyword "Speech synthesis, Text-to-speech systems".
- 55 keyword "Tools, systems, applications".
- 55 title "Acquiring Pronunciation Data for a Placenames Lexicon in a Less-Resourced Language".
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- item-1 hasContent briony-williams.
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- 550 creator christopher-brewster.
- 550 creator david-benyon.
- 550 creator oli-mival.
- 550 creator pavel-ircing.
- 550 creator yorick-wilks.
- 550 type InProceedings.
- 550 label "Dialogue, Speech and Images: the Companions Project Data Set".
- 550 sameAs 550.
- 550 abstract "This paper describes part of the corpus collection efforts underway in the EC funded Companions project. The Companions project is collecting substantial quantities of dialogue a large part of which focus on reminiscing about photographs. The texts are in English and Czech. We describe the context and objectives for which this dialogue corpus is being collected, the methodology being used and make observations on the resulting data. The corpora will be made available to the wider research community through the Companions Project web site.".
- 550 hasAuthorList authorList.
- 550 hasTopic Linguistics.
- 550 isPartOf proceedings.
- 550 keyword "Corpus (creation, annotation, etc.)".
- 550 keyword "Dialogue & Natural Interactivity".
- 550 keyword "Multimedia annotation and processing".
- 550 title "Dialogue, Speech and Images: the Companions Project Data Set".
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- item-1 hasContent yorick-wilks.
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- 551 creator stephanie-strassel.
- 551 creator zhiyi-song.
- 551 type InProceedings.
- 551 label "Entity Translation and Alignment in the ACE-07 ET Task".
- 551 sameAs 551.
- 551 abstract "Entities - people, organizations, locations and the like - have long been a central focus of natural language processing technology development, since entities convey essential content in human languages. For multilingual systems, accurate translation of named entities and their descriptors is critical. LDC produced Entity Translation pilot data to support the ACE ET 2007 Evaluation and the current paper delves more deeply into the entity alignment issue across languages, combining the automatic alignment techniques developed for ACE-07 with manual alignment. Altogether 84% of the Chinese-English entity mentions and 74% of the Arabic-English entity mentions are perfect aligned. The results of this investigation offer several important insights. Automatic alignment algorithms predicted that perfect alignment for the ET corpus was likely to be no greater than 55%; perfect alignment on the 15 pilot documents was predicted at 62.5%. Our results suggest the actual perfect alignment rate is substantially higher (82% average, 92% for NAM entities). The careful analysis of alignment errors also suggests strategies for human translation to support the ET task; for instance, translators might be given additional guidance about preferred treatments of name versus nominal translation. These results can also contribute to refined methods of evaluating ET systems.".
- 551 hasAuthorList authorList.
- 551 hasTopic Linguistics.
- 551 isPartOf proceedings.
- 551 keyword "Corpus (creation, annotation, etc.)".
- 551 keyword "Machine Translation, SpeechToSpeech Translation".
- 551 keyword "Named Entity recognition".
- 551 title "Entity Translation and Alignment in the ACE-07 ET Task".
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- item-1 hasContent zhiyi-song.
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- item-2 hasContent stephanie-strassel.
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- 552 creator ben-allison.