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Revista Nebrija de Lingüística Aplicada a la Enseñanz= a de Lenguas                                      ISSN 1699= -6569

Vol. 13 Núm. 26 (2019)                                            =                                          doi: 10.26378/rnlael1326300

Recibido: 23/12/2018 / Aprobado: 17/02/2019

Publicado bajo licencia de Creativ= e Commons Reconocimiento Sin Obra Derivada 4.0 Internacional

 

 

 

 

 

Efectos del traductor de Google sobre la diversidad léxica: el desarrollo de vocabulario entre estudiantes de españo= l como lengua extranjera

 

Effects of Google translate on lexical diversity: vocabulary development among learners of Spanish as a foreign language

 

 

Kent Fredholm

Karlstad University = and Uppsala University (Sweden= )

Kent.Fredholm@kau.se, Kent.Fredholm@moderna.uu.se

 

=  

RESUMEN

Este artículo presenta los resultados de un estudio longitudinal sobre = el desarrollo de vocabulario entre un grupo de estudiantes suecos de español c= omo lengua extranjera. Durante un año escolar, los estudiantes (N=3D31) escribi= eron cuatro redacciones en español, una prueba previa y una prueba posterior. 15 estudiantes usaron un diccionario impreso como herramienta de traducción, 1= 6 el Traductor de Google (GT). El desarrollo de vocabulario escrito fue medido c= omo el cambio de diversidad léxica entre la prueba previa y la prueba posterior, utilizando el índice de Guiraud. Los resultados muestran que el uso de GT da una diversidad léxica mayor mientras los alumnos lo usan, un efecto que desaparece cuando GT no se utiliza más. Los resultados indican la necesidad= de una comprensión más profunda de estructuras lingüísticas y de léxico, un enfoque reforzado en el vocabulario en la enseñanza de idiomas extranjeros,= y una extensión más amplia de enseñanza de herramientas de traducción.

&nb= sp;

Palabras clave: Diversidad léxica, traducción automát= ica en línea, el Traductor de Google, escritura en idiomas extranjeros, desarro= llo de vocabulario.

 

ABSTRACT

This article presents the results of a longitudinal study of vocabulary development among Swedish upper secondary school pupils of Spanish as a foreign language. During one schoolyear, the pupils (N=3D31) wrote four essays in Spanish, a pre-tes= t and a post-test. 15 pupils used a printed dictionary as translation tool, 16 used Google Translate (GT). Vocabulary development was measured as the chan= ge in lexical diversity from pre-test to post-test, using Guiraud’s index. The results show that the use of GT leads to higher degrees of lexical diversit= y as long as it is used, but that the effect vanishes wh= en the tool is no longer used. The results point to the need for a deeper understanding of language structure and lexicon, a reinforced focus on vocabulary in foreign language teaching, and a widened range of explicit in= struction of translation tools and strategies.

&nb= sp;

Keywords: Lexical diversity, Free online machine translation, Google Translate, Foreign langu= age writing, Vocabulary development

 

 

 

1. Introduction

The present article is part o= f a longitudinal study positioning itself within the fields of computer-assisted language learning (CALL) and foreign language writing, focussing on changes in writi= ng practices and how writing practices affect language learning. One current change in the school context is the transition from writing by hand to using computers, and the different affordances (cf. Gibson, 1986) this way of wri= ting entails for foreign language learners. From primary education to upper secondary education, Swedish schools are undergoing a rapid and extensive process of digitalisation, a topic of much debate. The Swedish national boa= rd of education, Skolverket, emphasises the need f= or further digitalisation as a way to prepare pupil= s for, among other things, future professional and educational needs, for creative problem solving, and for enhancing equal possibilities for all pupils regardless of parents’ socio-economic or academic background (see Skolverket 2018a, for a collection of resou= rces on digitalisation from the Swedish national board of education; cf. also Swedish Government, 2017). A majority of Swedish upper secondary school pupils now have access to a personal school laptop (Swedish Government, 2017).

Studies of how this widespread access to computers affects teaching and learning in Swedish classrooms are still relatively few, especially concerning foreign language education. Stu= dies on longitudinal effects of computer use on language learning outcomes are relatively scarce also internationally (Svensson, 2008; Bucki= ngham, 2011; Cobo Romaní &= amp; Moravec, 2011; von Schantz Lundgren & Lundgren, 2011; Livingstone, 2012; Fleischer, 2012, 2013; Grönlund, 2014; Grönlund, Andersson, & Wiklu= nd, 2014). New studies of computer use in foreign language classrooms are therefore of great relevance to language education research and to practising language teachers who try to find their way in today’s digitalised classroom environment.

A report on research outcomes on school digitalisation made for the Swedish parliament (Riksdagsförvaltningen, 2016) concludes that international research on computer use in schools shows effe= cts on student engagement and motivation, but that effects on learning outcomes= are difficult to find, apart from a few studies in Maine where results in mathematics and essay writing were improved among thirteen-year-olds who us= ed a computer (Riksdags-förvaltningen, 2016). Rosén (2012) has also showed that an increase in computer-use among children has led to a decrease in written comprehension, especially among the most prolific computer-users.

Swedish studies (Grönlund, 2014) show that computer use may reinforce achievement pat= terns already existing in a school and that this might also increase social discrepancies among pupils, rather than reducing them. In a report on the effectiveness of the use of ICT (information and communication technology) = in education, Haelermans (2017) writes= that “computer-directed instruction” (p. 34) can improve learning in mathematics= and language to a small extent, but that effects vary between students, dependi= ng on such things as personal preferences, and she clarifies that results from different studies are not conclusive. Especially regarding language learnin= g, Haelermans writes that studies on ICT effects are few= and that very few of these studies have found that ICT use enhances language learning outcomes. Ghysels & Haelermans (2018) find enhanced spelling performance among 7th grade pupils in the Netherlands, especially among low-performing pupils. As seems= to be the case also with the studies reported in Haelermans (2017), the effects appear to be the result of software enabling frequent repetition of and feedback on easily automatised, basic skills suc= h as spelling. Most studies find effects only on mathematics and only in develop= ing countries, whereas indications of effects on language learning are scarce. = In an experiment in the Netherlands, Haelermans (2= 017) finds effects on spelling and grammar in 7th and 8th grade. Over all, ICT used as a complement to the teacher seems to yield best results, albeit the effects reported are very small.

In earlier studies of laptop = use among Swedish upper secondary school pupils studying Spanish as a foreign language, Fredholm (2015a, 2015b) observed a widespread use of Google Translate (GT) and similar kinds of free online machine translation (FOMT) when the participating pupils used their school laptops to write essays in Spanish. When compared to essays written without FOMT, the use of GT led above all to fewer errors in spelling and article/noun/adjective agreement; at the same time, however, the use of GT increased the number of syntactic errors in the pupils’ essays. The latter effects were the opposite of what the pupils themselves believed would be t= he outcome.

Fredholm (20= 15b) focusses on complexity, accu= racy and fluency in Spanish texts written with FOMT, but also finds a possible effect on lexical diversity, with slightly higher diversity among FOMT-using pupils, however without investigating whether this effect lasts over time. = The present article studies changes in lexical diver= sity over one schoolyear in closer detail, observing lexical diversity at each writing session and the development from the start to the end of the schoolyear. As in Fredholm (2015b), comparisons are made to pupils using printed dictionaries, but here, an att= empt to pinpoint learning outcomes is made by the use of pre- and post-tests. The article contributes, thus, to deepened insights in digitalised foreign language writing practices, focussing on longitudinal effects on vocabulary learning of the regular use of GT as a translation to= ol in essay writing. The article does so by presenting longitudinal observatio= ns of lexical diversity in essays written with GT, comparing with the lexical diversity in essays written with printed dictionaries as a translation tool= . A pre- and post-test design enables comparisons from the start to the end of a schoolyear and reveals both differences and similarities between the googli= ng and non-googling participants of the study.

1.1 A note on terminology

 

Machine translation is often used as an umbrella term for digital tools for professional translators, as well as for free machine translation services available on the Internet, such as GT, Babelfish etc. Other terms such as automatic translation, online translation= etc. are also used in the literature. (See O’Neill, 2012, for a discussion = on terminology.) When talking about freely available translation sites such as= GT, free online machine translation (FOMT) probably is the most precise and accurate term. To avoid confusion, = the term FOMT will be used throughout the present article, also when referring = to studies using any of the above mentioned terms.<= o:p>

 

 

<= span style=3D'font-family:"Verdana",sans-serif;text-transform:uppercase'>2. Aim = and research questions

 

The aim of the present study is to investigate the development of upper seconda= ry school pupils’ Spanish vocabulary in writing, understood as changes in lexi= cal diversity produced in essays written during a schoolyear, comparing possible differences in lexical diversity between pupils using GT and pupils using printed dictionaries as translation tools. The study observes translation practices and their effects on lexical diversity in texts written by upper = secondary school pupils in Sweden studying Spanish as a foreign language on intermedi= ate level (CEFR levels A2.2-B1.1). The following research questions are asked:<= o:p>

 

1)   Do= es the use of GT have any effects on lexical diversity in texts written in Spanish, compared to texts written with printed dictionaries? If so, what a= re these effects?

 

2)   If differences can be found in lexical diversity depending on which translation tool has been used, does the repeated use of GT during one schoolyear have = any lasting effects on pupils’ development of lexical diversity, as compared to pupils using printed dictionaries? If so, what are these effects?

 

The present study differs from earlier studies such as Fredholm (2014), (2015a) and (2015b) by focussing exclusive= ly on variation in vocabulary and over a more sustained pe= riod of time (one schoolyear rather than three months). Whereas lexical diversity is approached also in Fredholm (2015b), it is examined in greater detail in the present study, offering insights into fluctuations in pupils’ vocabulary range over time. Fredholm (2015a) discusses pupils’ digital writ= ing strategies, a topic that will not be investigated here.

 

 

3. Theoretical background<= span lang=3DEN-GB style=3D'font-size:11.0pt;font-family:"Verdana",sans-serif;tex= t-transform: uppercase;mso-ansi-language:EN-GB;mso-fareast-language:ZH-CN'>

3.1 Foreign language writing and lexical diversity

 

Researchers such as Harklau (2002), Swain (1996, 2005), and Swain & Lapkin (1995) talk about the importanc= e of productive output for language learning and the role of writing in a foreign language in order to strengthen the learning of = the language . Writing enables learners to notice “gaps in their interlanguage” (= Manchón, 2011:47; cf. Izumi, 2003). In line with these theories, foreign language writing could b= e an efficient way for learners to notice instances when their own vocabulary is insufficient, and to give them opportunities to work with and expand their vocabulary and make it richer or more varied. Vocabulary size is important = for performance in all language skills (Milton, 2013) and studies of (effects on) vocabulary development are therefore of interest to researchers and practicing foreign language teachers alike.

Research on vocabulary development and word retention in foreign language learning underpins the necessity for repetition of new words in order for them to be retained in long-term memory. S= chuetze (2015), Schmitt (2008), and = Schuetze & Weimer-Stuckmann (2011) wr= ite that suggestions between three and twenty times have been mentioned in earl= ier studies, Schuetze (2015:38) stating that five t= imes “would be a good way to start” for English speakers learning German. A unif= orm spacing of word repetition is preferable to a more varied pattern, for retention of vocabulary (Schuetze & Weimer-Stuckmann, 2011). Words need to be encountered several times = over extended time periods. It is reasonable to think that regular use of GT or similar translation tools could give language learners opportunities to encounter new words more frequently than what may be the case with printed dictionaries, as the use of GT often is perceived as easier and faster and = can give access to more frequent vocabulary encounters (cf. Fredholm, 2015a).

In Fredholm (2015b), however, lexical diversity (used as a measure= of lexical complexity) was identical or nearly identical in texts written with FOMT and with printed dictionaries, and individual variations in lexical diversity were correlated to pupils’ grades rather than to the use of translation method. The study reported in Fredholm (2015b) ran over three months. More frequent input over a longer period of tim= e might have stronger effects on vocabulary learning, and the study in Fredho= lm (2015b) is here repeated with a higher number of texts written during an en= tire schoolyear, enabling a more detailed picture of changes in written lexical diversity over a longer period of time.

Lexical diversity is a common measure of vocabulary size or richness. According to Milton (2009:127), more able language learners are likely to produce texts with a higher degree of lexical diversity, or, to put it anot= her way, word variation. Malvern & Richards (2002:87) define lexical diversity as “the variety of active vocabul= ary deployed by a speaker or writer”. Richness and complexity of vocabulary is a good indicator of proficiency in a foreign language (Daller & Xue, 2007) and of great importance for the abilit= y to communicate in another language (Levitzky-= Aviad & Laufer, 2013). Indeed, according to Lindqvist (2016), vocabulary is more important for communication than syntax or morphology. Developing a varied and functional vocabulary, t= hus, is essential for communication in any language, and poses a daunting task to foreign language learners. In their study on French lexical proficiency development over time, Bulté, Housen= , Pierrard & Daele (2008) clarify the need for a well-dev= eloped vocabulary for language proficiency and underline the dearth of longitudinal research on learning processes and factors impacting on vocabulary learning= .

There are few studies of lexi= cal diversity in the Swedish school context, as Berton (2014) points out in his Master’s thesis.= His study on lexical richness in written production of Spanish as a foreign language shows that language proficiency affects lexical diversity. Berton = uses Guiraud’s index, among other measures, a method used also in the present article.

Lexical diversity should not = be seen as an infallible and all-encompassing measure = for proficiency in a foreign language, as a good text draws rather on the good = use of vocabulary than on the variety of vocabulary (cf. Malvern et al., 2004, I= ntroduction). Different “lexical diversity variables” have, however, been found “to be va= lid as developmental indices” (Malvern et al., 2004:6. Cf. also Wolfe-Quintero, Inagaki & Kim, 1998:104, tal= king about lexical variation and sophistication as "related to language development"). A close observation on the development of lexical diversity may thus be seen as an indicator of pu= pils’ language learning, in the present case related to the use or non-use of GT.=

3.2 Earlier research on the use of free online= machine translation in the = foreign language writing context

 

Up till present day, the number of studie= s on GT or other kinds of online translation services in foreign language writing research is rather scarce (Thue Vold, 2018= ), although the number of studies is increasing. Earlier research has mainly studied machine translation use for translator training (Thue Vold, 2018; Gaspari, Almaghout, & Doherty, 2015; Niño, 2009, 2008) and/or FOMT use among university students. As = Thue Vold (2018) and Somers (2001) point out, FOMT was not originally created for language learn= ers, but as it is common knowledge that many language learners do use it, it is = an important object of investigation.

Thue Vold (2018)<= span lang=3DEN-GB style=3D'font-size:11.0pt;font-family:"Verdana",sans-serif;mso= -ansi-language: EN-GB;mso-fareast-language:ZH-CN'> offers a valuable review on earlier rese= arch on “Machine Translation as a Language Learning Tool” (p. 70), and concludes that “the literature on foreign language teaching and learning provides little evidence that the use of FOMT can be beneficial for language learners in a school context” (p. 72), an assertion also made in <= span style=3D'mso-no-proof:yes'>Kazemzadeh & Fard Kashani (2014). In earlier research on FOMT in the foreign language learning context, several researchers base their critique, it seems, rather on an intuition that FOMT probably is not good for language learning, rather than empirical findings = showing that that is, or is not, the case (Clifford = et al., 2013; Somers, 2007; Somers et al., 2006; Steding<= /span>, 2009; cf. Thue Vold= , 2018). Stedin= g (2009) fears that FOMT does not develop learners’ own language proficiency, and wants to prevent its use. Somer= s et al. (2006) write that learners may trust the FOMT output too much, e= specially at the beginner levels. The findings of O’Neill (2012), studying French learners at university level, point to better intelligibility and more accurate grammar and spelling in texts where FOMT = has been used, but no effect on overall text quality, and he concludes that lit= tle points to more language learning (or indeed less) among FOMT using students. Likewise, no overall effects of FOMT use pointing conclusively in one direc= tion are seen in Fredholm (2014, 2015a, 2015b)<= /span>, where pupils using FOMT when writing in Spanish produced fewer errors regar= ding spelling and article/noun/ adjective agreement, but more errors concerning syntax, as compared to pupils using printed dictionaries or no translation = help at all, on the contrary to what the participating pupils themselves believe= d.

On the other hand, researchers such as Jolley & Maimone (2015), O’Neill (20= 12), and Williams (2006) claim, rather, that FOMT may enhance language learning, provided it be competently used and that language learners have sufficient knowledge about= the language that they are learning. Jiménez-Crespo (2= 018) argues that FOMT has become “another de facto dictionary for language learners” (p. 4), widely used, and that teach= ers and learners need to understand better how it can and cannot be used. This = view is shared by Schnitzer & Gromann (2017= ) who state that language learners nowadays need to be able to efficiently and competently use the wide array of lexicographic resources available.

A few studies investigating effects of FO= MT use show that it may indeed not be all bad; Niño (2008) f= inds among advanced learners that FOMT can raise language awareness and help with reducing errors. Looking at FOMT use among beginners, Garcia & Pena (2011) find that it helped learners, especial= ly with lower proficiency, to produce longer texts (one might discuss, though, whether this is a good thing per se), texts that received better marks from independent graders. However, judging from pauses and editing interventions, the researchers conclude that the participants probably would learn more fr= om using their own knowledge of the target language, writing without FOMT. Likewise, Kazemzadeh & Fard Kashani (2= 014), who study Iranian learners of English as a foreign language, find longer and syntactically more complex texts as an effect of FOMT use, especially among beginners, with lower language proficiency.

Thue Vold (2018) studies pupils’ metalinguistic talk about the quality of a text automatical= ly translated in French. She finds that FOMT can indeed be used as a means to make pupils discuss metalinguistic issues in foreign lang= uage learning. The use of GT as a way to raise metalinguistic awareness is also mentioned by Williams (2006), who states that pupils need to learn how to use FOMT and oth= er tools critically, and by Niño (2008). Another scholar stating that FOMT may enhance some language skills is Giannetti (2016), who has studied writing= in Spanish among seventh grade pupils using GT and finds that GT led to fewer errors in syntax and semantics. According to Giannetti= , pupils need training in using GT successfully, and insufficient language proficiency made using it more difficult. He argues that GT may “support learning in the foreign language classroom” (p. 4) and that it can build “foreign language literacy” (p. 5), if pupils are instructed how to use it strategically. Finally, Knospe (2017), who studies writing in German as a foreign langu= age among Swedish upper secondary school pupils, concludes, among other finding= s, in line with Fredholm (2015b), that pupils need a high proficiency in the studied language to be able to make competent use of online resources such = as GT, and that it is important that they learn how digital writing tools can support their writing and learning.

 

 

<= span style=3D'font-family:"Verdana",sans-serif;text-transform:uppercase'>4. Meth= ods and participants

4.1 Participants

 

Two teachers (here renamed as “Carla” and “Belinda”) participated with one class each in the study. To simplify the presentation of the data and of the resu= lts, the two Spanish classes will be treated as one group in the present article= .

The pupils (in total N=3D31, 26 girls, 5 boys) were randomly divided into two subgroups, here called the “googlers” (N=3D16, 13 girls, 3 boys) and the “non-googlers” (N=3D15, 13 girls, 2 boys). A higher number of participants = would have been desirable, but practical circumstances such as heavy teacher workloads and unwillingness among pupils to take part in such a demanding, = long-term project reduced the number of available participants. During the schoolyear= , 18 out of the initially 49 participating pupils chose not to fulfil the study.=

The uneven distribution of boys and girls may be considered unfortunate, but reflects the gender distribution at t= he study programmes were the data collection was performed (the Social science programme and the Humanities programme (Sk= olverket, 2012)). The random subdivision was controlled for grade levels in Spanish (from the previous schoolyear), study programme, and gend= er, with some minor alterations done to ensure a more even distribution of, in particular, Spanish grade levels from the previou= s year among both googlers and non-googlers.

4.2 Data collection

 

The collected data consist of= a pre-test consisting of an essay and a grammar test, four intervention essays, a post-test with yet another essay and the same grammar test as in the pre-test<= /span>, and screen-recordings of the googlers’ computer screens. In the present article, the screen-recordings w= ill be used as background information on the amount of text being googled in ea= ch intervention essay.

The pre- and post-tests were written by hand, in order to prevent the use of technology playing any part in these results. No diction= aries were allowed and the pupils’ mobile phones were collected prior to the pre- and post-tests, as well as before each interven= tion essay. Each writing session lasted for 50 minutes (a ti= me-frame chosen to give the pupils enough time to write without feeling stressed by = too narrow time constraints but also fitting within the pupils’ Spanish lessons= ).

The topics for the four intervention essays (see section 4.3) were elaborated together with Carla and Belinda, the two teachers, in o= rder to fit within the planned syllabus and to relate to text genres mentioned in the national curriculum for foreign languages, level 4 = (Skolverket, 2018b). Level 4 in the Swedish national curriculum for foreign languages roughly corresponds to CEFR levels A2.2 to B1.1 (Skolverket, 2017) and was chosen as it is the highest level most upper secondary school pupils reach, and also because the curric= ulum for this level is particularly rich in text genres, making it suitable for a study on pupils’ writing. The all-in-all six writing sessions were evenly distributed during the schoolyear (three each semester, from the pre-test in early September 2016 to the post-test in late May 2017). Carla and Belinda = had access to all essays produced during the data collectio= n, and used the texts to give formative feedback to the pupils.<= /p>

The googlers were permitted Internet access, and wer= e allowed to use GT when needed during the intervention essay writing sessions. The non-googlers were prevented from accessing the Internet, still writing on t= heir laptops but in an online application called Digiexam1, that blocks Internet access and prevents pupils from fetching previously sa= ved files from the computer. The students were already accustomed to the application, as it is us= ed at their school during written exams in several subjects. The non-googlers = were allowed to consult a printed, high quality Swedish-Span= ish/Spanish-Swedish dictionary (Benson, Strandvik, & Santos Melero, 2000), that they had been able to use before during their fi= rst year of Spanish studies at the same school.

The pupils were not encouraged to use GT during their regular Spanish lessons w= ith Carla and Belinda (lessons that mainly focussed on reading, listening and o= ral communication). Naturally, every action during the regular Spanish classes cannot be accounted for, and the pupils’ use of GT outside the school conte= xt cannot be controlled, but the pupils had no Spanish writing tasks assigned = as homework, which makes their frequent use of the technology in extramural contexts implausible.

The googlers’ computer screens were recorded using the online screencast servic= e of apowersoft.com2. Two recordings are missing due to technical issues. The screen-recordings are used for detailed analyses of the pupils’ interaction with the GT interface (forthcoming), and to register each translation instance made by the pupils, all-in-all 4112 searches ranging from single words over phrases and sentence fragments to complete, complex sentences. The collected data relevant for the present paper are summarised in table I.

 

=  

Googlers

Non-googlers

Total

= Pre-tests

16

15

31

= Intervention essays

59

57

116

= Post-tests

16

15

31

= Screen recordings

57

-

57

= Translation instances

4112

-

4112

Table I. Summary of collected data.

4.3 Essay topics

 

The topics for the pre- and post-test ess= ays and the intervention essays are presented here in abridged form. The instructions were given in Spanish, and each topic was accompanied by a few= simple drawings to further inspire the writers. The order in which the intervention essays were written differed between Carla’s and Belinda’s pupils the second and third writing sessions, as the groups worked with a holiday theme and a fairy-tale theme in different periods during the schoolyear.

 

Pre-test

Imagine that you are 85 years old. <= span class=3DSpellE>Think back at your life and write down your memories. You can talk about things like work, good times, <= span class=3DSpellE>bad times, family, travel= ling, your dreams or things that you regret.

 

Intervention essay 1 (Belinda’s<= /span> and Carla’s pupils)=

Re= ply to a letter from Pablo, 19, who wants to know what he can do to make his friends take interest in things that he likes, rather than drinking alcohol= and hanging about the town.

 

Intervention essay 2 (Belinda’s<= /span> pupils= )/Intervention essay 3 (Carla’s pupils)

Wr= ite an argumentative text for or against travelling. Why should we travel, or w= hy should we not travel? You can also write about your favourite destination, and explain why you recommend it to other= s.

 

Intervention essay 3 (Belinda’s<= /span> pupils= )/Intervention essay 2 (Carla’s pupils)

Wr= ite about the traditions and holidays in your country of origin. You can write,= for instance, how different holidays are celebrated, explain the origins of some traditions, tell about traditions that no longer= are observed or talk about traditions that you do not like and would like to change.

 

Intervention essay 4 (Belinda’s<= /span> and Carla’s pupils)=

Im= agine that you are Little Red Riding Hood. You are now 75 years old. When your grandchild comes to see you, you retell him the story about your adventure = many years ago in the forest, when you met the wolf.

 

Post-test

How was your life when you were a little kid? What were your dreams for the fut= ure? What did you usually do? Write about, for instance, your family, your frien= ds, good times, bad times, interests and dreams.

4.4 Analyses and measures

 

Le= xical diversity can be measured in a variety of ways, ranging from the straight-forward Type-Token Ratio (TTR) used since 1944 (Johnson, 1944; Daller & Xue, 2007) to more sophisticated measures such as D (Daller & Xue, 2007). The type/token ratio is reliable when dealing with texts of equal or very similar lengths; as text length increases, though= , the type/token ratio naturally decreases, making the measure unreliable for lon= ger texts and, especially, for texts of highly varying lengths. Several measures based on the TTR have been elaborated to compensate for this, one of the mo= st frequently used being Guiraud’s index (Guira= ud, 1954; van Hout & Vermeer, 2007; Milton, 2009), also chosen for this study. Guiraud’s index uses the formula V/N = (i.e. Types/√Tokens), dividing the number of types (or lemmas, unique words) in a text, by the square root of the number of tokens (the to= tal number of words in the text). As every measure of lexical diversity, Guirau= d’s index has been criticised for being sensitive to variations in text length;= it is, however, often found to be one of the most reliable measures (especially for shorter texts up to a “few hundred tokens” (Malvern et al., 2004:29), = and van Hout & Vermeer (2007) find it oft= en to be the better option between various measures. Guiraud’s index was chosen as the most suitable for the present study, as the collected essays are all qu= ite short and of similar lengths. The average length of the essays (number of tokens) and average number of unique words (types) are summarised in table = II.

 

=  

Googlers

Non-googlers

types

tokens

types

tokens

Pre-test

= 60.75

= 200.09

= 57.53

= 142.00

Intervention essays

= 86.17

= 191.59

= 75.27

= 139.35

Post-test

= 97.19

= 216.00

= 96.53

= 220.53

 =

Table II. Average numbers of types/tokens.

 

In= the present study, a word is define= d as a graphic unit of one or more meaning-making letters surrounded by spaces or punctuation marks. Non-Spanish words, proper names and numbers not written = with letters were excluded from the analysis. Inflectional forms of e.g. the same verb or singular and plural forms of the= same noun were considered as one lemma or type = (cf. Tidball et al., 2007). Bulté et al. (200= 8) state that only semantic content words should be used when measuring lexical proficiency, as grammatical function words indicate learners’ grammatical competence rather than their lexical proficiency. However, as they also poi= nt out, most studies mix these word types. The choice was made also in the pre= sent study to measure both content words and function words, a choice based on t= he fact that the participating pupils show a low degree of awareness of grammatical functions of some words; it is plausible that the participating pupils treat all words merely as words, and excl= uding one kind of words would give an unjust view of their productive written vocabulary.

The development of productive lexical diversity was measured comparing the Guiraud value in the essay par= t of the pre-test to the Guiraud value in the post-test essay. Statistical significance between the googlers and the non-googlers (with p<0.05) was controlled using a = t-test in SPSS version 25.

 

 

<= span style=3D'font-family:"Verdana",sans-serif;text-transform:uppercase'>5. Resu= lts

 

An overview of the mean level of lexical diversity in the texts from each writ= ing session is presented in section 5.1. These results are further commented in relation to the research questions in section 5.2.

5.1 Lexical diversity in the pre-test, post-test and intervention essays.

 

The mean Guiraud values from each writing session are presented in Table III. Compared to the Guiraud values found in Fredholm (2015b), reaching mean values of 4.08 among pupils using different kinds of FOMT and 3.87 among pupils using printed dictionaries, the values = in the present study are higher, which might be explicable by the fact that writing time was shorter (30 minutes) in Fredholm (2015b) than in the prese= nt study (50 minutes).

 

=  

all

googlers

non-googlers

Mean

SD

Mean

SD

Mean

SD

= Guiraud pre-test

5.39

0.15

5.46

0.24

5.31

0.20

= Guiraud essay 1

5.51

0.13

5.85

0.13

5.17

0.20

= Guiraud essay 2

6.19

0.14

6.48

0.19

5.88

0.17

= Guiraud essay 3

5.80

0.16

6.25

0.25

5.36

0.15

= Guiraud essay 4

5.97

0.17

6.40

0.20

5.51

0.22

= Guiraud post-test

6.36

0.27

6.61

0.25

6.47

0.26

= Guiraud change from

= pre-test to post-test

1.16

0.15

1.15

0.19

1.16

0.24

 =

Table III. Guiraud values in pre-tests, intermediate essays and post-tests, and change from pre-test to post-test.

 

Gi= ven the small number of participants, normality testing was done using Shapiro-Wilks for all of the variables in Table = III. Normal distribution was found in all cases but one: essay 4 in the googlers’ group (p 0.014). An ocular examination of the histogram does however indicate normal distribution or approximate normal distribution. The result is caused by one outlier with a high Guiraud value and two extremes with low Guiraud values; none of these values, however, are exceedingly low or high, compared to Guiraud values in intervention essays 1-3. The result from essay 4 is therefore estimated to = be reliable. Equal variance was found, using Levene’s test, in all groups at all occasions.=

5.2 Effects on lexical = diversity in the intervention essays and <= span class=3DSpellE>on long-term vocabulary acquisition

 

The mean Guiraud value from each essay writing session is reported in Figure 1, where the blue line represents the googlers’ texts and the orange line the non-googlers’. The values are the same mean values as shown in Table III in section 5.1. The graphs indicate that both groups are making progress in written lexical diversity from the pre-test in September to the post-test in May. Googlers and non-googlers alike show a decrease in lexical diversity in the third intervention essay, at the beginning of the spring term. The reas= on for this can only be speculated. It is not caused by the essay topic, as Carla’s and Belinda’s pupils did not write essay topics 2 and 3 in the same order. The temporary decrease in lexical diversity might simply depend on t= he fact that the pupils had recently been on Christmas holiday for two weeks a= nd had had little contact with the Spanish language during this break, or on o= ther factors beyond the control of this study.

 


Figure 1. Development of lexical diversity from pre-test to

post-test, including the intervention essays.<= /p>

 

An independent t-test was conducted to investigate differences between googler= s’ and non-googlers’ mean Guiraud values at each writing occasion, including p= re- and post-tests. The results are summarised in Table IV. Levene’s test showed that equal variances could be assumed in all cases but one (intervention essay 3, p 0.020). Significant differences were found for every intervention essay, (i.e. for the essays written with GT or dictionaries), = but not for the pre-test nor for the post-test. As expected, considering the al= most non-existent difference between the groups when comparing the development f= rom the pre-test to the post-test, this difference was also found to be non-sig= nificant         (p 0.969). The initial hypothesis that the use of GT leads to greater lexical diversity is thus corroborated in as far as the intervention essays; the results do however suggest that this effects is = not lasting, but that it disappears when GT is no longer used. This indicates t= hat the use of GT, at least to the extent it was utilised in this study, with h= igh probability does not facilitate the development of a greater productive voc= abulary, compared to the use of printed dictionaries (nor, indeed, the other way around).

 

 

t

df

Sig.

(2-tailed)

Guiraud value pre-test *

0.475

29

0.638

Guiraud value essay 1 *

2.868

28

0.008

Guiraud value essay 2 *

2.336

27

0.027

Guiraud value essay 3 †

2.336

21.526

0.006

Guiraud value essay 4 *

3.079

27

0.006

Guiraud value post-test *

2.969

29

0.701

Guiraud value change from

pre-test to post-test *

0.388

29

0.969

* Equal variances= assumed

† Equal variances= not assumed (Levene p 0.020)

 =

Table IV. Differences in mean Guiraud values between googlers and non-googlers.

 

A crosstab analysis of grade levels and the amount of GT use (Table V) shows = that pupils with lower grades generally googled a larger amount of their texts, = and that pupils with higher grades googled fewer words (with one exception, a pupil = with the grade B who on average googled 64.44% of the words). Again, F, E, and D were counted as low grades, C, B, and A as high. A mean use of GT under the median amount of 37.40% (thus <M) , was consi= dered as restricted use of GT, whereas a use equal to or above 37.40 % (≥= ;M) was co= nsidered as an extensive use of GT. The results show that there is a clear correlati= on between grade level and amount of GT use (Fisher exact test p 0.001). This reinforces the find= ings in Fredholm (2015b).

 

=  

Restricted use

of GT (<M)

Extensive use

of GT (M)

Total

= Low grades (F, E, D)

0

9

9

= High grades (C, B, A)

6

1

7

= Total

6

10

16

 =

Table V. Crosstab analysis of correlations between GT use and grade level.

 

Wh= en looking at correlations between the amount of googled text in the intervent= ion essays and the Guiraud values in the googlers’ essays, no significant correlation can be found (Pearson correlation 0.068). Analyses of correlati= ons between the amount of googled text in the intervention essays and the development of lexical diversity measured as the difference from pre-test to post-test also show non-significant correlation (Pearson -0.056). That is to say, there seems to be no correlation betwe= en the amount of GT use and the development of productive lexical diversity. In the present set of data, thus, nothing seems to indicate that more googling wou= ld lead to the retention of more words in the long run, albeit claims of causal links cannot be made.

The results reported in this section reflect the statement in Giannetti (2016:18), saying that FOMT “ca= nnot replace proficiency in a language”. Using GT may help foreign language pupi= ls to produce texts, but it seems unlikely that it can teach them how to produ= ce texts without it, to follow the line of argument in Garcia & Pena (2011; cf. Giannetti, 2016), who compare GT t= o a GPS system that enables you to get where you want but does not make you ski= lled in orientating yourself without help.

 

<= span style=3D'font-family:"Verdana",sans-serif;text-transform:uppercase'>&n= bsp;

<= span style=3D'font-family:"Verdana",sans-serif;text-transform:uppercase'>6. Conclusions and discussion

 

The present study contributes to research= on FOMT use among pre-university level language learners by giving a more deta= iled insight into the effects, or absence of effects, on vocabulary development = of GT use during essay writing in Spanish as a foreign language. In particular, it gives a detailed picture of how lexi= cal diversity may evolve and vary during a schoolyear. As the results indicate = that the use of GT does not lead to neither greater nor smaller lasting effects = on vocabulary variation, as compared to a more traditional approach, the study= may provide foreign language teachers with a more nuanced perception of the role and the affordances of different translation tools.

There are two main conclusions to be drawn from the results in the present study: firstly, that the use of GT does see= m to help language learners to write texts with a more varied vocabulary, as long as GT is being used; secondly, that the use of= GT does not appear to help the same language learners to gain a more varied ac= tive vocabulary over time, when left on their own, as compared to language learn= ers using printed dictionaries. Neither, indeed, does the use of printed dictionaries, in the present study, point to a major increase in productive vocabulary compared to the use of GT. This strengthens the results from Fredholm (2015b), adding a more complex picture of vocabulary development o= ver time.

The same kinds of errors and mistakes were often made by the non-googlers in the present study, albeit they looked up fewer words than their googling peers. Considering observations made in Fredholm (2015a; 2015b), pupils may struggle with understanding results of dictionary searches as well as of GT searches. A higher level of language a= wareness – both in the mother tongue and in the target language – does seem necessar= y in order for foreign language learners to be able to u= se the translation tools at their disposal. Otherwise expressed, in order to become a good foreign language writer, one needs to reach a high level of knowledge in the studied language, rather than to take shortc= uts relying on any kind of translation technology, be it digital or analogue.

As both googlers and non-googlers in the present study gained more or less the same development in written lexical variation at the end of the schoolyear, it may thus be reasonable to conclu= de that the use of GT or a printed dictionary as translation tool may be of le= ss importance than raising the pupils’ awareness of language structure, enhanc= ing their vocabulary as well in the studied language as in their mother tongue,= and developing their general linguistic knowledge through explicit instruction.= Considering the findings of Levitzky-Aviad & Laufer (2013:144), w= ho show a slow development of active vocabulary in English among Israeli learn= ers, a need for more explicit vocabulary instruction and practice, also of “non-basic vocabulary”, in earlier schoolyears, may be necessary.

The notable increase in lexical diversity from the last intervention essay to the post-test, among both googlers and non-googlers, may be puzzling and has no evident explanation. It was the la= st writing session for the entire schoolyear (not only for the study but for regular lessons as well), and it is plausible that the pupils made an effort to show their best work, as the texts w= ere available also to the grading teachers. Another reason could be that the translation tools (GT and printed dictionaries) used during the intervention essay writing sessions may have been a disturbance to the pupils, leading t= o a greater focus on translation than on the production of cohesive texts. The absence of the translation tools may, then, have led to a greater focus on = the texts themselves. A follow-up study comparing intermediate level learners writing with GT, dictionaries and without any translation tools would be of great interest.

The results of this study are, in a way, double. On the one hand, it is clear that the use of GT does affect lexical diversity, giving the googled texts a wider range of vocabulary. On the oth= er hand, the results also indicate that the effect is immediate but not lasting when GT is no longer used. Considering this, it is reasonable to presume th= at GT in itself may not have a lasting effect on forei= gn language vocabulary development. It is also reasonable to conclude that GT = is not able to boost less proficient learners’ vocabulary; it does help them to write texts, but it does not seem to develop their independency and to beco= me capable of writing lexically more varied texts on their own. Considering what Izumi (2003) writes about output and its ability to make language learners more aware of what they can and cannot express, it seems reasonable to say that this was not the case in the prese= nt study, as pupils often did not trust their own knowledge, or their linguist= ic gut-feeling, if the expression may be allowed.

Fo= reign language teachers reading this text may wonder what the above-mentioned res= ults might imply for their own teaching. If vocabulary development seems to be t= he same regardless of pupils’ using GT or printed dictionaries, shall pupils be left to choose for themselves? As highlighted in Fredholm (2015a), pupils often struggle with GT and printed dictionaries alike, and need training in both ways of working with translat= ing (cf. Schnitzer & Gromann, 2017, who talk abo= ut the need for competence using all available translation resources). Prohibiting pupils from using GT is probably fruitless, and more is gained = by showing pupils different ways of using it and discussing together why diffe= rent translations are more or less trustworthy or mor= e or less faulty. This may be one way to enhance pupils’ metalinguistic reflecti= on, to some extent in line with Thue Vold (201= 8). This way of dealing with GT in the foreign language classroom setting does = not take for granted that its use will enhance pupils’ language learning, but v= iews GT, rather, as one of several tools that are available to learners, and that they will benefit from knowing in a less superficial way. GT can be a useful tool to ma= ke language learners write, especially less proficient learners who otherwise would not write as much or, perhaps, not at all; it is important, though, t= hat language teachers stress that it is improbable that GT = in itself will improve pupils’ vocabulary learning.

 

 

notes<= o:p>

1 https://= digiexam.zendesk.com/hc/sv

2 https://= www.apowersoft.com/free-online-screen-recorder

 

 

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