Code-Switching: a Useful Foreign Language Teaching Tool in EFL Classrooms
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
AUTHOR a Longitudinal Study of the Language Development Of
DOCUMENT RESUME ED 247 706 EC 170 061 AUTHOR Mohay, Heather TITLE A Longitudinal Study of the Language Development of Three Deaf Children of Hearing Parents. PUB DATE , Jun 81 NOTE 26p.,.; Paper presented at a Seminar on Early Intervention or Young Hearing-Impaired Children (Mt. Gravatt., Queensland, Australia, June 15-16,-1981). For the proceedings, see EC 170 057. PUB TYPE Reports' = Research/Technical (143) EDRS PRICE MF01/PCO2 Plus Postage. DESCRIPTORS. *Hearing.Impairments; Infants; *Language Acquisition; Longitudinal Studies; *Manual Communication; Sign Language; Young Children (F ABSTRACT A longitudinal study followed the language acquisition'of three deaf infants. Analysis of videotapes recorded in the child's home during informal play was performed in terms of communicative gestures. Results revealed that Ss used a very limited number of hand configurations, locations for signs, and hand and arm, movements. Analysis of the gestures showed that there was a great deal of similarity in the components used by the three Ss, Ss presented consistent patterns in their gestures. Although the single gesture utterance was the most common communicative form, all Ss did combine gestures to form two-gesture utterances. Speech was infrequently used, and all Ss had larger gestural than spoken lexitons at 30 months. It was possible for elements in two gesture utterances and word/gesture combinations to be produced simultaneously. The content of the utterances indicated that they were able to express the same semantic relationships as hearing children at a similar stage of language development. (CL) 9 *********************************************************************** Reproductions supplied by EDRS are the best that can be made from the original document. -
National Strategy for Linguistic Security National Strategy for Linguistic Security 2
National Strategy for Linguistic Security National Strategy for Linguistic Security 2 TABLE OF CONTENTS Context ...................................................................................................................................................................................... 3 Preamble ................................................................................................................................................................... 4 Towards a common understanding ............................................................................................................... 5 Premise ....................................................................................................................................................................... 9 Main directions .................................................................................................................................................... 10 Fields of intervention ...........................................................................................................................................................11 A global vision.......................................................................................................................................................................11 Challenges, strategies and courses of action ..........................................................................................12 What we want to do differently in education ........................................................................................................ -
Two-Word Utterances Chomsky's Influence
Two-Word Utterances When does language begin? In the middle 1960s, under the influence of Chomsky’s vision of linguistics, the first child language researchers assumed that language begins when words (or morphemes) are combined. (The reading by Halliday has some illustrative citations concerning this narrow focus on “structure.”) So our story begins with what is colloquially known as the “two-word stage.” The transition to 2-word utterances has been called “perhaps, the single most disputed issue in the study of language development” (Bloom, 1998). A few descriptive points: Typically children start to combine words when they are between 18 and 24 months of age. Around 30 months their utterances become more complex, as they add additional words and also affixes and other grammatical morphemes. These first word-combinations show a number of characteristics. First, they are systematically simpler than adult speech. For instance, function words are generally not used. Notice that the omission of inflections, such as -s, -ing, -ed, shows that the child is being systematic rather than copying. If they were simply imitating what they heard, there is no particular reason why these grammatical elements would be omitted. Conjunctions (and), articles (the, a), and prepositions (with) are omitted too. But is this because they require extra processing, which the child is not yet capable of? Or do they as yet convey nothing to the child—can she find no use for them? Second, as utterances become more complex and inflections are added, we find the famous “over-regularization”—which again shows, of course, that children are systematic, not simply copying what they here. -
The Utterance, and Otherbasic Units for Second Language Discourse Analysis
The Utterance, and OtherBasic Units for Second Language Discourse Analysis GRAHAM CROOKES University of Hawaii-Manoa Theselection ofa base unitisan importantdecision in theprocess ofdiscourse analysis. A number of different units form the bases of discourse analysis systems designed for dealing with structural characteristics ofsecondlanguage discourse. Thispaperreviews the moreprominentofsuch unitsand provides arguments infavourofthe selection ofone inparticular-the utterance. INTRODUCTION Discourse analysis has been an accepted part of the methodology of second language (SL) research for some time (see, for example, Chaudron 1988: 40-5; Hatch 1978; Hatch and Long 1980; Larsen-Freeman 1980), and its procedures are becoming increasingly familiar and even to some extent standardized. As is well-known, an important preliminary stage in the discourse analysis of speech is the identification of units relevant to the investigation within the body of text to be analysed, or the complete separation of the corpus into those basic units. In carrying out this stage of the analysis, the varying needs of second language discourse analysis have caused investigators to make use ofall of the traditional grammatical units of analysis (morpheme, word, clause, etc.), as well as other structural or interactional features of the discourse (for example, turns), in addition to a variety of other units defined in terms of their functions (for example, moves). These units have formed the bases of a number of different analytic systems, which canmainly beclassified as either structural orfunctional (Chaudron 1988), developed to address differing research objectives. In carrying out structural discourse analyses of oral text, researchers have been confronted with the fact that most grammars are based on a unit that is not defined for speech, but is based on the written mode of language-that is, the sentence. -
Stochastic Language Generation in Dialogue Using Factored Language Models
Stochastic Language Generation in Dialogue Using Factored Language Models Franc¸ois Mairesse∗ University of Cambridge ∗∗ Steve Young University of Cambridge Most previous work on trainable language generation has focused on two paradigms: (a) using a statistical model to rank a set of pre-generated utterances, or (b) using statistics to determine the generation decisions of an existing generator. Both approaches rely on the existence of a hand- crafted generation component, which is likely to limit their scalability to new domains. The first contribution of this article is to present BAGEL, a fully data-driven generation method that treats the language generation task as a search for the most likely sequence of semantic concepts and realization phrases, according to Factored Language Models (FLMs). As domain utterances are not readily available for most natural language generation tasks, a large creative effort is required to produce the data necessary to represent human linguistic variation for nontrivial domains. This article is based on the assumption that learning to produce paraphrases can be facilitated by collecting data from a large sample of untrained annotators using crowdsourcing—rather than a few domain experts—by relying on a coarse meaning representation. A second contribution of this article is to use crowdsourced data to show how dialogue naturalness can be improved by learning to vary the output utterances generated for a given semantic input. Two data- driven methods for generating paraphrases in dialogue are presented: (a) by sampling from the n-best list of realizations produced by BAGEL’s FLM reranker; and (b) by learning a structured perceptron predicting whether candidate realizations are valid paraphrases. -
Annotation of Utterances for Conversational Nonverbal Behaviors
Annotation of Utterances for Conversational Nonverbal Behaviors Allison Funkhouser CMU-RI-TR-16-25 Submitted in partial fulfillment of the requirements for the degree of Masters of Science in Robotics May 2016 Masters Committee: Reid Simmons, Chair Illah Nourbakhsh Heather Knight Abstract Nonverbal behaviors play an important role in communication for both humans and social robots. However, hiring trained roboticists and animators to individually animate every possible piece of dialogue is time consuming and does not scale well. This has motivated previous researchers to develop automated systems for inserting appropriate nonverbal behaviors into utterances based only on the text of the dialogue. Yet this automated strategy also has drawbacks, because there is basic semantic information that humans can easily identify that is not yet accurately captured by a purely automated system. Identifying the dominant emotion of a sentence, locating words that should be emphasized by beat gestures, and inferring the next speaker in a turn-taking scenario are all examples of data that would be useful when animating an utterance but which are difficult to determine automatically. This work proposes a middle ground between hand-tuned animation and a purely text-based system. Instead, untrained human workers label relevant semantic information for an utterance. These labeled sentences are then used by an automated system to produce fully animated dialogue. In this way, the relevant human-identifiable context of a scenario is preserved without requiring workers to have deep expertise of the intricacies of nonverbal behavior. Because the semantic information is independent of the robotic platform, workers are also not required to have access to a simulation or physical robot. -
JOURNAL of LANGUAGE and LINGUISTIC STUDIES ISSN: 1305-578X Journal of Language and Linguistic Studies, 13(1), 379-398; 2017
Available online at www.jlls.org JOURNAL OF LANGUAGE AND LINGUISTIC STUDIES ISSN: 1305-578X Journal of Language and Linguistic Studies, 13(1), 379-398; 2017 The impact of non-native English teachers’ linguistic insecurity on learners’ productive skills Giti Ehtesham Daftaria*, Zekiye Müge Tavilb a Gazi University, Ankara, Turkey b Gazi University, Ankara, Turkey APA Citation: Daftari, G.E &Tavil, Z. M. (2017). The Impact of Non-native English Teachers’ Linguistic Insecurity on Learners’ Productive Skills. Journal of Language and Linguistic Studies, 13(1), 379-398. Submission Date: 28/11/2016 Acceptance Date:04/13/2017 Abstract The discrimination between native and non-native English speaking teachers is reported in favor of native speakers in literature. The present study examines the linguistic insecurity of non-native English speaking teachers (NNESTs) and investigates its influence on learners' productive skills by using SPSS software. The eighteen teachers participating in this research study are from different countries, mostly Asian, and they all work in a language institute in Ankara, Turkey. The learners who participated in this work are 300 intermediate, upper-intermediate and advanced English learners. The data related to teachers' linguistic insecurity were collected by questionnaires, semi-structured interviews and proficiency tests. Pearson Correlation and ANOVA Tests were used and the results revealed that NNESTs' linguistic insecurity, neither female nor male teachers, is not significantly correlated with the learners' writing and speaking scores. © 2017 JLLS and the Authors - Published by JLLS. Keywords: linguistic insecurity, non-native English teachers, productive skills, questionnaire, interview, proficiency test 1. Introduction There is no doubt today that English is the unrivaled lingua franca of the world with the largest number of non-native speakers. -
Building a Universal Phonetic Model for Zero-Resource Languages
Building a Universal Phonetic Model for Zero-Resource Languages Paul Moore MInf Project (Part 2) Interim Report Master of Informatics School of Informatics University of Edinburgh 2020 3 Abstract Being able to predict phones from speech is a challenge in and of itself, but what about unseen phones from different languages? In this project, work was done towards building precisely this kind of universal phonetic model. Using the GlobalPhone language corpus, phones’ articulatory features, a recurrent neu- ral network, open-source libraries, and an innovative prediction system, a model was created to predict phones based on their features alone. The results show promise, especially for using these models on languages within the same family. 4 Acknowledgements Once again, a huge thank you to Steve Renals, my supervisor, for all his assistance. I greatly appreciated his practical advice and reasoning when I got stuck, or things seemed overwhelming, and I’m very thankful that he endorsed this project. I’m immensely grateful for the support my family and friends have provided in the good times and bad throughout my studies at university. A big shout-out to my flatmates Hamish, Mark, Stephen and Iain for the fun and laugh- ter they contributed this year. I’m especially grateful to Hamish for being around dur- ing the isolation from Coronavirus and for helping me out in so many practical ways when I needed time to work on this project. Lastly, I wish to thank Jesus Christ, my Saviour and my Lord, who keeps all these things in their proper perspective, and gives me strength each day. -
23 the Speech Community
23 The Speech Community PETER L. PATRICK The speech community (SpCom), a core concept in empirical linguistics, is the intersection of many principal problems in sociolinguistic theory and method. I trace its history of development and divergence, survey general problems with contemporary notions, and discuss links to key issues in investigating language variation and change. I neither offer a new and correct definition nor reject the concept (both misguided efforts), nor exhaustively survey its applica- tions in the field (an impossibly large task). 1 General Problems with Speech Community as a Concept Every branch of linguistics that is concerned with representative samples of a population; that takes individual speakers or experimental subjects as typical members of a group; that studies langue as attributable to a socially coherent body (whether or not it professes interest in the social nature of that body); or that takes as primitive such notions as “native speaker,” “competence/ performance,” “acceptability,” etc., which manifestly refer to collective behavior, rests partially on a concept equivalent to the SpCom. Linguistic systems are exercised by speakers, in social space: there they are acquired, change, are manipulated for expressive or communicative purposes, undergo attrition, etc. Whether linguists prefer to focus on speakers, varieties or grammars, the prob- lem of relating a linguistic system to its speakers is not trivial. In studying language change and variation (geographical or social), refer- ence to the SpCom is inescapable, yet there is remarkably little agreement or theoretical discussion of the concept in sociolinguistics, though it has often been defined. Some examples from research reports suggest the degree of its (over-)extension (Williams 1992: 71). -
Improving Machine Translation of Null Subjects in Italian and Spanish
Improving Machine Translation of Null Subjects in Italian and Spanish Lorenza Russo, Sharid Loaiciga,´ Asheesh Gulati Language Technology Laboratory (LATL) Department of Linguistics – University of Geneva 2, rue de Candolle – CH-1211 Geneva 4 – Switzerland {lorenza.russo, sharid.loaiciga, asheesh.gulati}@unige.ch Abstract (2000) has shown that 46% of verbs in their test corpus had their subjects omitted. Continuation Null subjects are non overtly expressed of this work by Rello and Ilisei (2009) has found subject pronouns found in pro-drop lan- that in a corpus of 2,606 sentences, there were guages such as Italian and Spanish. In this study we quantify and compare the oc- 1,042 sentences without overtly expressed pro- currence of this phenomenon in these two nouns, which represents an average of 0.54 null languages. Next, we evaluate null sub- subjects per sentence. As for Italian, many anal- jects’ translation into French, a “non pro- yses are available from a descriptive and theoret- drop” language. We use the Europarl cor- ical perspective (Rizzi, 1986; Cardinaletti, 1994, pus to evaluate two MT systems on their among others), but to the best of our knowledge, performance regarding null subject trans- there are no corpus studies about the extent this lation: Its-2, a rule-based system devel- 2 oped at LATL, and a statistical system phenomenon has. built using the Moses toolkit. Then we Moreover, althought null elements have been add a rule-based preprocessor and a sta- largely treated within the context of Anaphora tistical post-editor to the Its-2 translation Resolution (AR) (Mitkov, 2002; Le Nagard and pipeline. -
Sociolinguistic Situation of Kurdish in Turkey: Sociopolitical Factors and Language Use Patterns
DOI 10.1515/ijsl-2012-0053 IJSL 2012; 217: 151 – 180 Ergin Öpengin Sociolinguistic situation of Kurdish in Turkey: Sociopolitical factors and language use patterns Abstract: This article aims at exploring the minority status of Kurdish language in Turkey. It asks two main questions: (1) In what ways have state policies and socio- historical conditions influenced the evolution of linguistic behavior of Kurdish speakers? (2) What are the mechanisms through which language maintenance versus language shift tendencies operate in the speech community? The article discusses the objective dimensions of the language situation in the Kurdish re- gion of Turkey. It then presents an account of daily language practices and perceptions of Kurdish speakers. It shows that language use and choice are sig- nificantly related to variables such as age, gender, education level, rural versus urban dwelling and the overall socio-cultural and political contexts of such uses and choices. The article further indicates that although the general tendency is to follow the functional separation of languages, the language situation in this con- text is not an example of stable diglossia, as Turkish exerts its increasing pres- ence in low domains whereas Kurdish, by contrast, has started to infringe into high domains like media and institutions. The article concludes that the preva- lent community bilingualism evolves to the detriment of Kurdish, leading to a shift-oriented linguistic situation for Kurdish. Keywords: Kurdish; Turkey; diglossia; language maintenance; language shift Ergin Öpengin: Lacito CNRS, Université Paris III & Bamberg University. E-mail: [email protected] 1 Introduction Kurdish in Turkey is the language of a large population of about 15–20 million speakers. -
Utterance Structure in Initial L2 Acquisition
Utterance structure in initial L2 acquisition Jacopo Saturno language Eurosla Studies 2 science press EuroSLA Studies Editor: Gabriele Pallotti Associate editors: Amanda Edmonds, Université de Montpellier; Ineke Vedder, University of Amsterdam In this series: 1. Pérez Vidal, Carmen, Sonia LópezSerrano, Jennifer Ament & Dakota J. ThomasWilhelm (eds.). Learning context effects: Study abroad, formal instruction and international immersion classrooms 2. Saturno, Jacopo. Utterance structure in initial L2 acquisition. ISSN: 26262665 Utterance structure in initial L2 acquisition Jacopo Saturno language science press Saturno, Jacopo. 2020. Utterance structure in initial L2 acquisition (Eurosla Studies 2). Berlin: Language Science Press. This title can be downloaded at: http://langsci-press.org/catalog/book/265 © 2020, Jacopo Saturno Published under the Creative Commons Attribution 4.0 Licence (CC BY 4.0): http://creativecommons.org/licenses/by/4.0/ ISBN: 978-3-96110-261-7 (Digital) 978-3-96110-262-4 (Hardcover) ISSN: 2626-2665 DOI: 10.5281/zenodo.3889998 Source code available from www.github.com/langsci/265 Collaborative reading: paperhive.org/documents/remote?type=langsci&id=265 Cover and concept of design: Ulrike Harbort Typesetting: Sebastian Nordhoff Proofreading: Amir Ghorbanpour, Andreas Hölzl, Brett Reynolds, Jeroen van de Weijer, Lachlan Mackenzie, Sebastian Nordhoff, Tom Bossuyt Fonts: Libertinus, Arimo, DejaVu Sans Mono Typesetting software:Ǝ X LATEX Language Science Press Xhain Grünberger Str. 16 10243 Berlin, Germany langsci-press.org Storage and cataloguing done by FU Berlin Contents Acknowledgements v 1 Introduction: Rationale and research questions 1 1.1 Word order vs. inflectional morphology .............. 3 1.2 Task effects: structured tests vs. semi-spontaneous production .