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- 337 creator baskaran-sankaran.
- 337 creator girish-nath-jha.
- 337 creator k-saravanan.
- 337 creator k-v-subbarao.
- 337 creator kalika-bali.
- 337 creator l-sobha.
- 337 creator monojit-choudhury.
- 337 creator pushpak-bhattacharyya.
- 337 creator s-rajendran.
- 337 creator tanmoy-bhattacharya.
- 337 type InProceedings.
- 337 label "A Common Parts-of-Speech Tagset Framework for Indian Languages".
- 337 sameAs 337.
- 337 abstract "We present a universal Parts-of-Speech (POS) tagset framework covering most of the Indian languages (ILs) following the hierarchical and decomposable tagset schema. In spite of significant number of speakers, there is no workable POS tagset and tagger for most ILs, which serve as fundamental building blocks for NLP research. Existing IL POS tagsets are often designed for a specific language; the few that have been designed for multiple languages cover only shallow linguistic features ignoring linguistic richness and the idiosyncrasies. The new framework that is proposed here addresses these deficiencies in an efficient and principled manner. We follow a hierarchical schema similar to that of EAGLES and this enables the framework to be flexible enough to capture rich features of a language/ language family, even while capturing the shared linguistic structures in a methodical way. The proposed common framework further facilitates the sharing and reusability of scarce resources in these languages and ensures cross-linguistic compatibility.".
- 337 hasAuthorList authorList.
- 337 hasTopic Linguistics.
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- 337 keyword "Morphology".
- 337 keyword "Standards for LRs".
- 337 keyword "Tagging".
- 337 title "A Common Parts-of-Speech Tagset Framework for Indian Languages".
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- 340 creator anthony-hartley.
- 340 creator bogdan-babych.
- 340 creator serge-sharoff.
- 340 type InProceedings.
- 340 label "Generalising Lexical Translation Strategies for MT Using Comparable Corpora".
- 340 sameAs 340.
- 340 abstract "We report on an on-going research project aimed at increasing the range of translation equivalents which can be automatically discovered by MT systems. The methodology is based on semi-supervised learning of indirect translation strategies from large comparable corpora and applying them in run-time to generate novel, previously unseen translation equivalents. This approach is different from methods based on parallel resources, which currently can reuse only individual translation equivalents. Instead it models translation strategies which generalise individual equivalents and can successfully generate an open class of new translation solutions. The task of the project is integration of the developed technology into open-source MT systems.".
- 340 hasAuthorList authorList.
- 340 hasTopic Linguistics.
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- 340 keyword "Machine Translation, SpeechToSpeech Translation".
- 340 keyword "Multilinguality".
- 340 title "Generalising Lexical Translation Strategies for MT Using Comparable Corpora".
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