58 research outputs found

    WebMonitoring software system: Finite state machines for monitoring the web

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    This paper presents a software system called WebMonitoring. The system is designed for solving certain problems in the process of information search on the web. The first problem is improving entering of queries at search engines and enabling more complex searches than keyword-based ones. The second problem is providing access to web page content that is inaccessible by common search engines due to search engine’s crawling limitations or time difference between the moment a web page is set up on the Internet and the moment the crawler finds it. The architecture of the WebMonitoring system relies upon finite state machines and the concept of monitoring the web. We present the system’s architecture and usage. Some modules were originally developed for the purpose of the WebMonitoring system, and some rely on UNITEX, linguistically oriented software system. We hereby evaluate the WebMonitoring system and give directions for further development

    La traduction des noms propres : une étude en corpus

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    Dans cet article, nous abordons le problème de la traduction des noms propres. Nous présentons notre hypothèse, selon laquelle la thèse très répandue de la non-traductibilité des noms propres peut être contredite. Puis, nous décrivons la construction du corpus multilingue aligné que nous utilisons pour illustrer notre propos. Nous évaluons enfin les apports et les limites de ce corpus dans le cadre de notre étude.The translation of proper names : a corpus study In this paper, we tackle the problem of the translation of proper names. We introduce our hypothesis according to which proper names can be translated more often than most people seem to think. Then, we describe the construction of a parallel multilingual corpus used to illustrate our point. We eventually evaluate both the advantages and limits of this corpus in our study

    The Dictionary of the Serbian Academy: from the Text to the Lexical Database

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    In this paper we discuss the project of digitization of the Dictionary of the Serbo-Croatian Standard and Vernacular Language. Scanning and character recognition were a particular challenge, since various non-standard character set encoding was used in the course of the almost 60-year long production of the dictionary. The first aim of the project was to formalize the micro-structure of the dictionary articles in order to parse the digitized text of and transform it into structured data stored in relational lexical database. This approach is compatible with several standard structured forms and ontologies (TEI, LMF, Ontolex, LexInfo). A lexical database model was designed in compliance with these structured forms, following mostly the lemon model. Mapping of the lexical entry markers to LexInfo and TEI enabled export of the lexical data to the mentioned formats. A software solution for the dictionary text analysis, parsing and lexical database population was developed and tested on the first and the last published volumes of the dictionary (which contain 27,141 articles in total). An evaluation of the results shows that the developed model and software solution can be successfully used for the other volumes as well

    SASA Dictionary as the Gold Standard for Good Dictionary Examples for Serbian

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    In this paper we present a model for selection of good dictionary examples for Serbian and the development of initial model components. The method used is based on a thorough analysis of various lexical and syntactic features in a corpus compiled of examples from the five digitized volumes of the Serbian Academy of Sciences and Arts (SASA) dictionary. The initial set of features was inspired by a similar approach for other languages. The feature distribution of examples from this corpus is compared with the feature distribution of sentence samples extracted from corpora comprising various texts. The analysis showed that there is a group of features which are strong indicators that a sentence should not be used as an example. The remaining features, including detection of non-standard and other marked lexis from the SASA dictionary, are used for ranking. The selected candidate examples, represented as featurevectors, are used with the GDEX ranking tool for Serbian candidate examples and a supervised machine learning model for classification on standard and non-standard Serbian sentences, for further integration into a solution for present and future dictionary production projects

    Multiword expressions: Insights from a multi-lingual perspective

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    Multiword expressions (MWEs) are a challenge for both the natural language applications and the linguistic theory because they often defy the application of the machinery developed for free combinations where the default is that the meaning of an utterance can be predicted from its structure. There is a rich body of primarily descriptive work on MWEs for many European languages but comparative work is little. The volume brings together MWE experts to explore the benefits of a multilingual perspective on MWEs. The ten contributions in this volume look at MWEs in Bulgarian, English, French, German, Maori, Modern Greek, Romanian, Serbian, and Spanish. They discuss prominent issues in MWE research such as classification of MWEs, their formal grammatical modeling, and the description of individual MWE types from the point of view of different theoretical frameworks, such as Dependency Grammar, Generative Grammar, Head-driven Phrase Structure Grammar, Lexical Functional Grammar, Lexicon Grammar

    Multiword expressions: Insights from a multi-lingual perspective

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    Multiword expressions (MWEs) are a challenge for both the natural language applications and the linguistic theory because they often defy the application of the machinery developed for free combinations where the default is that the meaning of an utterance can be predicted from its structure. There is a rich body of primarily descriptive work on MWEs for many European languages but comparative work is little. The volume brings together MWE experts to explore the benefits of a multilingual perspective on MWEs. The ten contributions in this volume look at MWEs in Bulgarian, English, French, German, Maori, Modern Greek, Romanian, Serbian, and Spanish. They discuss prominent issues in MWE research such as classification of MWEs, their formal grammatical modeling, and the description of individual MWE types from the point of view of different theoretical frameworks, such as Dependency Grammar, Generative Grammar, Head-driven Phrase Structure Grammar, Lexical Functional Grammar, Lexicon Grammar

    Multiword expressions: Insights from a multi-lingual perspective

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    Multiword expressions (MWEs) are a challenge for both the natural language applications and the linguistic theory because they often defy the application of the machinery developed for free combinations where the default is that the meaning of an utterance can be predicted from its structure. There is a rich body of primarily descriptive work on MWEs for many European languages but comparative work is little. The volume brings together MWE experts to explore the benefits of a multilingual perspective on MWEs. The ten contributions in this volume look at MWEs in Bulgarian, English, French, German, Maori, Modern Greek, Romanian, Serbian, and Spanish. They discuss prominent issues in MWE research such as classification of MWEs, their formal grammatical modeling, and the description of individual MWE types from the point of view of different theoretical frameworks, such as Dependency Grammar, Generative Grammar, Head-driven Phrase Structure Grammar, Lexical Functional Grammar, Lexicon Grammar

    Multiword expressions: Insights from a multi-lingual perspective

    Get PDF
    Multiword expressions (MWEs) are a challenge for both the natural language applications and the linguistic theory because they often defy the application of the machinery developed for free combinations where the default is that the meaning of an utterance can be predicted from its structure. There is a rich body of primarily descriptive work on MWEs for many European languages but comparative work is little. The volume brings together MWE experts to explore the benefits of a multilingual perspective on MWEs. The ten contributions in this volume look at MWEs in Bulgarian, English, French, German, Maori, Modern Greek, Romanian, Serbian, and Spanish. They discuss prominent issues in MWE research such as classification of MWEs, their formal grammatical modeling, and the description of individual MWE types from the point of view of different theoretical frameworks, such as Dependency Grammar, Generative Grammar, Head-driven Phrase Structure Grammar, Lexical Functional Grammar, Lexicon Grammar

    Multiword expressions: Insights from a multi-lingual perspective

    Get PDF
    Multiword expressions (MWEs) are a challenge for both the natural language applications and the linguistic theory because they often defy the application of the machinery developed for free combinations where the default is that the meaning of an utterance can be predicted from its structure. There is a rich body of primarily descriptive work on MWEs for many European languages but comparative work is little. The volume brings together MWE experts to explore the benefits of a multilingual perspective on MWEs. The ten contributions in this volume look at MWEs in Bulgarian, English, French, German, Maori, Modern Greek, Romanian, Serbian, and Spanish. They discuss prominent issues in MWE research such as classification of MWEs, their formal grammatical modeling, and the description of individual MWE types from the point of view of different theoretical frameworks, such as Dependency Grammar, Generative Grammar, Head-driven Phrase Structure Grammar, Lexical Functional Grammar, Lexicon Grammar

    Multiword expressions: Insights from a multi-lingual perspective

    Get PDF
    Multiword expressions (MWEs) are a challenge for both the natural language applications and the linguistic theory because they often defy the application of the machinery developed for free combinations where the default is that the meaning of an utterance can be predicted from its structure. There is a rich body of primarily descriptive work on MWEs for many European languages but comparative work is little. The volume brings together MWE experts to explore the benefits of a multilingual perspective on MWEs. The ten contributions in this volume look at MWEs in Bulgarian, English, French, German, Maori, Modern Greek, Romanian, Serbian, and Spanish. They discuss prominent issues in MWE research such as classification of MWEs, their formal grammatical modeling, and the description of individual MWE types from the point of view of different theoretical frameworks, such as Dependency Grammar, Generative Grammar, Head-driven Phrase Structure Grammar, Lexical Functional Grammar, Lexicon Grammar
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