نتایج جستجو برای: standard english

تعداد نتایج: 635056  

Journal: :International Journal of Language Education 2018

Journal: :International Journal of Applied Linguistics and English Literature 2019

Journal: :Corpus Linguistics and Linguistic Theory 2022

Abstract The Scottish English phoneme inventory is generally claimed to have a /ʍ/-/w/ contrast, although several studies suggested that this historical contrast weakening for speakers in the urban areas of Glasgow, Edinburgh and Aberdeen. Little known about whether maintained supraregional Standard (SSE). This study sets out explore, based on phonemically transcribed ICE-Scotland corpus, distr...

2014
Mona T. Diab Mohamed Al-Badrashiny Maryam Aminian Mohammed Attia Heba Elfardy Nizar Habash Abdelati Hawwari Wael Salloum Pradeep Dasigi Ramy Eskander

We introduce an electronic three-way lexicon, Tharwa, comprising Dialectal Arabic, Modern Standard Arabic and English correspondents. The paper focuses on Egyptian Arabic as the first pilot dialect for the resource, with plans to expand to other dialects of Arabic in later phases of the project. We describe Tharwa’s creation process and report on its current status. The lexical entries are augm...

2014
Stephen Tratz Clare R. Voss Jamal Laoudi

Many languages, including Modern Standard Arabic (MSA), insert resumptive pronouns in relative clauses, whereas many others, such as English, do not, using empty categories instead. This discrepancy is a source of difficulty when translating between these languages because there are words in one language that correspond to empty categories in the other, and these words must either be inserted o...

2017
Emma Flint Elliot Ford Olivia Thomas Andrew Caines Paula Buttery

This paper investigates the problem of text normalisation; specifically, the normalisation of non-standard words (NSWs) in English. Non-standard words can be defined as those word tokens which do not have a dictionary entry, and cannot be pronounced using the usual letterto-phoneme conversion rules; e.g. lbs, 99.3%, #EMNLP2017. NSWs pose a challenge to the proper functioning of textto-speech te...

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