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- item-1 hasContent antonio-branco.
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- item-2 hasContent francisco-costa.
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- 641 creator eric-wehrli.
- 641 creator luka-nerima.
- 641 type InProceedings.
- 641 label "Generating Bilingual Dictionaries by Transitivity".
- 641 sameAs 641.
- 641 abstract "Recently the LATL has undertaken the development of a multilingual translation system based on a symbolic parsing technology and on a transfer-based translation model. A crucial component of the system is the lexical database, notably the bilingual dictionaries containing the information for the lexical transfer from one language to another. As the number of necessary bilingual dictionaries is a quadratic function of the number of languages considered, we will face the problem of getting a large number of dictionaries. In this paper we discuss a solution to derive a bilingual dictionary by transitivity using existing ones and to check the generated translations in a parallel corpus. Our first experiments concerns the generation of two bilingual dictionaries and the quality of the entries are very promising. The number of generated entries could however be improved and we conclude the paper with the possible ways we plan to explore.".
- 641 hasAuthorList authorList.
- 641 hasTopic Linguistics.
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- 641 keyword "Lexicon, lexical database".
- 641 keyword "Machine Translation, SpeechToSpeech Translation".
- 641 keyword "Validation of LRs".
- 641 title "Generating Bilingual Dictionaries by Transitivity".
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- item-1 hasContent luka-nerima.
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- item-2 hasContent eric-wehrli.
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- 643 creator axel-fleisch.
- 643 creator kholisa-podile.
- 643 creator laurette-pretorius.
- 643 creator sonja-bosch.
- 643 type InProceedings.
- 643 label "Experimental Fast-Tracking of Morphological Analysers for Nguni Languages".
- 643 sameAs 643.
- 643 abstract "The development of natural language processing (NLP) components is resource-intensive and therefore justifies exploring ways of reducing development time and effort when building NLP components. This paper addresses the experimental fast-tracking of the development of finite-state morphological analysers for Xhosa, Swati and (Southern) Ndebele by using an existing morphological analyser prototype for Zulu. The research question is whether fast-tracking is feasible across the language boundaries between these closely related varieties. The objective is a thorough assessment of recognition rates yielded by the Zulu morphological analyser for the three related languages. The strategy is to use techniques comprising several cycles of the following steps: applying the analyser to corpus data from all languages, identifying failures, and implementing the respective changes in the analyser. Tests show that the high degree of shared typological properties and formal similarities among the Nguni varieties warrants a modular fast-tracking approach. Word forms recognized by the Zulu analyser were mostly adequately interpreted. Therefore, the focus lies on providing adaptations based on failure output analysis for each language. As a result, the development of analysers for Xhosa, Swati and Ndebele is considerably faster than the creation of the Zulu prototype. The paper concludes with comments on the feasibility of the experiment, and the results of the evaluation.".
- 643 hasAuthorList authorList.
- 643 hasTopic Linguistics.
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- 643 keyword "Morphology".
- 643 keyword "Multilinguality".
- 643 keyword "Other".
- 643 title "Experimental Fast-Tracking of Morphological Analysers for Nguni Languages".
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- item-1 hasContent sonja-bosch.
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- 644 creator basilio-calderone.
- 644 creator valeria-quochi.
- 644 type InProceedings.
- 644 label "Learning properties of Noun Phrases: from data to functions".
- 644 sameAs 644.
- 644 abstract "The paper presents two experiments of unsupervised classification of Italian noun phrases. The goal of the experiments is to identify the most prominent contextual properties that allow for a functional classification of noun phrases. For this purpose, we used a Self Organizing Map is trained with syntactically-annotated contexts containing noun phrases. The contexts are defined by means of a set of features representing morpho-syntactic properties of both nouns and their wider contexts. Two types of experiments have been run: one based on noun types and the other based on noun tokens. The results of the type simulation show that when frequency is the most prominent classification factor, the network isolates idiomatic or fixed phrases. The results of the token simulation experiment, instead, show that, of the 36 attributes represented in the original input matrix, only a few of them are prominent in the re-organization of the map. In particular, key features in the emergent macro-classification are the type of determiner and the grammatical number of the noun. An additional but not less interesting result is an organization into semantic/pragmatic micro-classes. In conclusions, our result confirm the relative prominence of determiner type and grammatical number in the task of noun (phrase)categorization.".
- 644 hasAuthorList authorList.
- 644 hasTopic Linguistics.
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