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Titlebook: Automatic Processing of Natural-Language Electronic Texts with NooJ; 10th International C Linda Barone,Mario Monteleone,Max Silberztein Con

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Phrasal Verb Disambiguation Grammars: Cutting Out Noise Automatically Due to certain restrictions, however, not all discontinuous PV listed in the PV Dictionary were successfully identified in texts. Further research [.] showed how a simplified PV grammar could identify more PV and improve recall, but it created an excessive amount of noise. Some of it could be autom
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NooJ Local Grammars for Endophora Resolutionationship is often spoken of as one expression ‘referring to’ another. Endophora mainly takes places when, in a same sentence, a pronoun and a (proper or common) noun co-occur referring (back or forward) to one another. This mechanism is called endophoric deixis. The most used and known kinds of end
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Addition of IPA Transcription to the Belarusian NooJ Moduleone is connected with stress positions in IPA transcription. The task of adding IPA transcription requires the solving of problems concerning splitting words into syllables. Thus, firstly we need to solve the problem of syllabification of words in Belarusian.
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NooJ Local Grammars for Innovative Startup Languageis approach, based on Lexicon-Grammar (LG) framework, is extendible to every knowledge domain although we process business documents in Agri-food sector that more than others presents critical issues in knowledge management and representation. Regarding the results of our analysis with NooJ, we note that 10% of tokens retrieved are unknown words.
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Integration of a Segmentation Tool for Arabic Corpora in NooJ Platform to Build an Automatic Annotatmprove NooJ platform functionalities. Also, we achieved our annotation phase by identifying different types of lexical ambiguities, and then an appropriate set of rules is proposed. In addition, we experiment our phase on a test corpus with NooJ platform. The obtained results are ambitious and can be improved by adding other rules and heuristics.
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Generating Alerts from Automatically-Extracted Tweets in Standard Arabic(Stock market). Given the importance and relevance of the shared information, several methods and tools are developed to detect and display information from social networks especially Twitter such as MABED1 [.], Twitter Monitor [.] and .KeySEE [.].
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1865-0929 stic phenomena: typography, orthography, lexicons for simple words, multiword units and discontinuous expressions, inflectional and derivational morphology, local, structural and transformational syntax, and semantics..978-3-319-55001-5978-3-319-55002-2Series ISSN 1865-0929 Series E-ISSN 1865-0937
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https://doi.org/10.1007/978-3-319-63787-7 a mechanism for further processing of all unknown (unique) words extracted from the corpus and adding them to the present dictionary on the basis of the Belarusian NooJ module. The algorithm is based on the required grammatical information of an entire word.
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Global Perspectives on Subsidiarityt shows how the linguistic elements contained in the clinical test definition can suggest important values of LOINC standard facilitating the coding process (e.g. the adjective “urinary” used in the local test suggests the values “urine” for the parameter “type of sample”).
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