988 resultados para Urdu language--Dictionaries--Persian


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Mode of access: Internet.

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Mode of access: Internet.

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Mode of access: Internet.

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Language learners ask a variety of questions about words and their meanings and uses: “What does X mean? What is the word for X in English? Can you say X? When do you use X and when do you use Y (e.g. synonyms, grammatical structures, prepositional choices, variant phrases, etc)?”

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The present work is an empirical investigation into the lq`reference skills' of Pakistani learners and their language needs on semantic, phonetic, lexical and pragmatic levels in the dictionary. The introductory chapter discusses the relatively problematic nature of lexis in comparison with the other aspects in EFL learning and spells out the aim of this study. Chapter two provides an analytical survey of the various types of research undertaken in different contexts of the dictionary and explains the eclectic approach adopted in the present work. Chapter three studies the `reference skills' of this category of learners in the background of highly sophisticated information structure of learners' dictionaries under evaluation and suggests some measures for improvement in this context. Chapter four considers various criteria, eg. pedagogic, linguistic and sociolinguistic for determining the macro-structure of learner's dictionary with a focus on specific Ll speakers. Chapter five is concerned with various aspects of the semantic information provided in the dictionaries matched against the needs of Pakistani learners with regard to both comprehension and production. The type, scale and presentation of grammatical information in the dictionary is analysed in chapter six with the object of discovering their role and utility for the learner. Chapter seven explores the rationale for providing phonological information, the extent to which this guidance is vital and the problems of phonetic symbols employed in the dictionaries. Chapter eight brings into perspective the historical background of English-Urdu bilingual lexicography and evalutes the currently popular bilingual dictionaries among the student community, with the aim of discovering the extent to which they have taken account of the modern tents of lexicography and investigating their validity as a useful reference tool in the learning of English language. The final chapter concludes the findings of individual aspects in a coherent fashion to assess the viability of the original hypothesis that learners' dictionaries if compiled with a specific set of users in mind would be more useful.

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This research focuses on Native Language Identification (NLID), and in particular, on the linguistic identifiers of L1 Persian speakers writing in English. This project comprises three sub-studies; the first study devises a coding system to account for interlingual features present in a corpus of L1 Persian speakers blogging in English, and a corpus of L1 English blogs. Study One then demonstrates that it is possible to use interlingual identifiers to distinguish authorship by L1 Persian speakers. Study Two examines the coding system in relation to the L1 Persian corpus and a corpus of L1 Azeri and L1 Pashto speakers. The findings of this section indicate that the NLID method and features designed are able to discriminate between L1 influences from different languages. Study Three focuses on elicited data, in which participants were tasked with disguising their language to appear as L1 Persian speakers writing in English. This study indicated that there was a significant difference between the features in the L1 Persian corpus, and the corpus of disguise texts. The findings of this research indicate that NLID and the coding system devised have a very strong potential to aid forensic authorship analysis in investigative situations. Unlike existing research, this project focuses predominantly on blogs, as opposed to student data, making the findings more appropriate to forensic casework data.

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Many people think of language as words. Words are small, convenient units, especially in written English, where they are separated by spaces. Dictionaries seem to reinforce this idea, because entries are arranged as a list of alphabetically-ordered words. Traditionally, linguists and teachers focused on grammar and treated words as self-contained units of meaning, which fill the available grammatical slots in a sentence. More recently, attention has shifted from grammar to lexis, and from words to chunks. Dictionary headwords are convenient points of access for the user, but modern dictionary entries usually deal with chunks, because meanings often do not arise from individual words, but from the chunks in which the words occur. Corpus research confirms that native speakers of a language actually work with larger “chunks” of language. This paper will show that teachers and learners will benefit from treating language as chunks rather than words.

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In this paper we try to present how information technologies as tools for the creation of digital bilingual dictionaries can help the preservation of natural languages. Natural languages are an outstanding part of human cultural values and for that reason they should be preserved as part of the world cultural heritage. We describe our work on the bilingual lexical database supporting the Bulgarian-Polish Online dictionary. The main software tools for the web- presentation of the dictionary are shortly described. We focus our special attention on the presentation of verbs, the richest from a specific characteristics viewpoint linguistic category in Bulgarian.

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This chapter introduces Native Language Identification (NLID) and considers the casework applications with regard to authorship analysis of online material. It presents findings from research identifying which linguistic features were the best indicators of native (L1) Persian speakers blogging in English, and analyses how these features cope at distinguishing between native influences from languages that are linguistically and culturally related. The first chapter section outlines the area of Native Language Identification, and demonstrates its potential for application through a discussion of relevant case history. The next section discusses a development of methodology for identifying influence from L1 Persian in an anonymous blog author, and presents findings. The third part discusses the application of these features to casework situations as well as how the features identified can form an easily applicable model and demonstrates the application of this to casework. The research presented in this chapter can be considered a case study for the wider potential application of NLID.