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- 455 creator antoine-laurent.
- 455 creator paul-deleglise.
- 455 creator sylvain-meignier.
- 455 creator teva-merlin.
- 455 creator yannick-esteve.
- 455 type InProceedings.
- 455 label "Combined Systems for Automatic Phonetic Transcription of Proper Nouns".
- 455 sameAs 455.
- 455 abstract "Large vocabulary automatic speech recognition (ASR) technologies perform well in known, controlled contexts. However recognition of proper nouns is commonly considered as a difficult task. Accurate phonetic transcription of a proper noun is difficult to obtain, although it can be one of the most important resources for a recognition system. In this article, we propose methods of automatic phonetic transcription applied to proper nouns. The methods are based on combinations of the rule-based phonetic transcription generator LIA_PHON and an acoustic-phonetic decoding system. On the ESTER corpus, we observed that the combined systems obtain better results than our reference system (LIA_PHON). The WER (Word Error Rate) decreased on segments of speech containing proper nouns, without affecting negatively the results on the rest of the corpus. On the same corpus, the Proper Noun Error Rate (PNER, which is a WER computed on proper nouns only), decreased with our new system.".
- 455 hasAuthorList authorList.
- 455 hasTopic Linguistics.
- 455 isPartOf proceedings.
- 455 keyword "Lexicon, lexical database".
- 455 keyword "Other".
- 455 keyword "Speech recognition and understanding".
- 455 title "Combined Systems for Automatic Phonetic Transcription of Proper Nouns".
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- 458 creator atsushi-fujii.
- 458 creator masao-utiyama.
- 458 creator mikio-yamamoto.
- 458 creator takehito-utsuro.
- 458 type InProceedings.
- 458 label "Producing a Test Collection for Patent Machine Translation in the Seventh NTCIR Workshop".
- 458 sameAs 458.
- 458 abstract "In aiming at research and development on machine translation, we produced a test collection for Japanese-English machine translation in the seventh NTCIR Workshop. This paper describes details of our test collection. From patent documents published in Japan and the United States, we extracted patent families as a parallel corpus. A patent family is a set of patent documents for the same or related invention and these documents are usually filed to more than one country in different languages. In the parallel corpus, we aligned Japanese sentences with their counterpart English sentences. Our test collection, which includes approximately 2,000,000 sentence pairs, can be used to train and test machine translation systems. Our test collection also includes search topics for cross-lingual patent retrieval and the contribution of machine translation to a patent retrieval task can also be evaluated. Our test collection will be available to the public for research purposes after the NTCIR final meeting.".
- 458 hasAuthorList authorList.
- 458 hasTopic Linguistics.
- 458 isPartOf proceedings.
- 458 keyword "Corpus (creation, annotation, etc.)".
- 458 keyword "Evaluation methodologies".
- 458 keyword "Machine Translation, SpeechToSpeech Translation".
- 458 title "Producing a Test Collection for Patent Machine Translation in the Seventh NTCIR Workshop".
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- 459 creator bartosz-broda.
- 459 creator maciej-piasecki.
- 459 creator magdalena-derwojedowa.
- 459 creator stanislaw-szpakowicz.
- 459 type InProceedings.
- 459 label "Corpus-based Semantic Relatedness for the Construction of Polish WordNet".
- 459 sameAs 459.
- 459 abstract "The construction of a wordnet, a labour-intensive enterprise, can be significantly assisted by automatic grouping of lexical material and discovery of lexical semantic relations. The objective is to ensure high quality of automatically acquired results before they are presented for lexicographers approval. We discuss a software tool that suggests synset members using a measure of semantic relatedness with a given verb or adjective; this extends previous work on nominal synsets in Polish WordNet. Syntactically-motivated constraints are deployed on a large morphologically annotated corpus of Polish. Evaluation has been performed via the WordNet-Based Similarity Test and additionally supported by human raters. A lexicographer also manually assessed a suitable sample of suggestions. The results compare favourably with other known methods of acquiring semantic relations.".
- 459 hasAuthorList authorList.
- 459 hasTopic Linguistics.
- 459 isPartOf proceedings.
- 459 keyword "LR national/international projects, organizational/policy issues".
- 459 keyword "Lexicon, lexical database".
- 459 keyword "Statistical methods".