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  <front>
    <journal-meta />
    <article-meta>
      <title-group>
        <article-title>Learning in Second-Language Searching</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Anita Komlodi</string-name>
          <email>komlodi@umbc.edu</email>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Nadia Caidi</string-name>
          <email>nadia.caidi@utoronto.ca</email>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>UMBC</institution>
          ,
          <addr-line>1000 Hilltop Circle, Baltimore, MD 21250, 1-410-312-5665</addr-line>
        </aff>
        <aff id="aff1">
          <label>1</label>
          <institution>University of Toronto</institution>
          ,
          <addr-line>140 St. George Street, Toronto, Ontario M5S 1C7</addr-line>
          ,
          <country country="CA">Canada</country>
          ,
          <addr-line>+1-416-978-4664</addr-line>
        </aff>
      </contrib-group>
      <abstract>
        <p>In this paper we describe learning that happens when searchers look for information in a foreign language. A strong disparity exists between the language distribution of Web content and the representation of speakers of different languages among Web users. The proportion of Web content available in English is much larger than the proportion of native-English-speaking Web users. This disparity often forces non-native speakers of English to search for information in English. In this process they do not only learn the language, but also familiarize themselves with a new culture and information landscape. In this paper we describe when and how this learning happens and what tools and features can help the process. Information systems → Web searching and information discovery Information systems → Structure and multilingual text search first language speakers make up 23.2% of Web users [7] while Chinese language content accounts for only 2.8% of Web content [14]. This disparity forces many non-native English speakers (NNESs) to search in English to satisfy their information needs [8]. Non-native English speakers search in English for various reasons. Those living in their home country and immersed into their culture may search in English due to the lack of content in their native language. Those immigrating, temporally or indefinitely, to an English-speaking country search in English to find information about their new environment [4]. While these two groups of searchers will have very different supports, challenges, and experiences, they will both learn about the language, culture, and new information environments through interacting with the search system. While the same type of learning happens for native-language searchers to a lesser extent, the focus in this paper is on foreignlanguage searchers. The ideas presented here are meant to provoke discussion and spark ideas for future research. This paper is informed by several research projects [1, 3, 5, 9, 12, 15] led by the co-authors, however, this position paper is intended as a conceptual piece and does not include data.</p>
      </abstract>
      <kwd-group>
        <kwd>Search</kwd>
        <kwd>Second-language search</kwd>
        <kwd>Second-language acquisition</kwd>
        <kwd>Information landscapes</kwd>
        <kwd>literacies</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>1. INTRODUCTION</title>
      <p>
        Search systems have traditionally been developed to support
retrieving information. Recently, the widespread availability and
use of full text search systems have led to viewing these systems
as learning environments [6]. Users interacting with information
in search systems go through an iterative seeking and learning
process. [
        <xref ref-type="bibr" rid="ref4">11</xref>
        ] They engage with rich full-text information, which
informs their learning process and they modify their search
behavior based on what has been learnt. [2] In this paper, we
discuss the learning that occurs in searching when the searchers
look for information in a foreign language. We use the example of
searching in English as a foreign language throughout this paper.
A strong disparity exists between the language distribution of
Web content and the representation of speakers of different
languages among Web users. While English content makes up
55.5% of all content on the Web [
        <xref ref-type="bibr" rid="ref7">14</xref>
        ], native English speakers
make up only 28.6% of all Internet users [7]. In contrast, Chinese
Search as Learning (SAL), July 21, 2016, Pisa, Italy
The copyright for this paper remains with its authors. Copying permitted
for private and academic purposes.
      </p>
    </sec>
    <sec id="sec-2">
      <title>2. LEARNING THROUGH FOREIGN</title>
    </sec>
    <sec id="sec-3">
      <title>LANGUAGE SEARCH</title>
    </sec>
    <sec id="sec-4">
      <title>2.1 Language Learning</title>
      <p>
        The literature on NNES searching behaviour is sparse. Yet, the
existing literature points to several language learning processes,
often observed and reported through user diaries and interviews
[
        <xref ref-type="bibr" rid="ref2 ref5 ref8">1, 3, 5, 9, 12, 15</xref>
        ]. As online searchers seek information in a
foreign language, they continuously acquire new language skills:
they explicitly learn new vocabulary, often professional domain
terminology. More implicitly, they also learn grammar and
sentence and text structure through interacting with and
interpreting foreign-language text. They develop both their
expressive language skills through creating queries, and their
receptive skills through reading and interpreting results and
documents.
      </p>
      <p>As searchers create queries, they learn vocabulary and grammar
from query recommendations and the presentation of related
queries. Identifying the appropriate terms to search on is the most
difficult task for foreign-language searchers. Slight differences in
meaning and usage can dramatically change the result set and
impact the effectiveness of search. Finding the appropriate terms
and learning about the slight variations in meaning and usage is a
very important part of this process. Seeing the relationship
between the query terms and the returned results sets helps
searchers gain an understanding of the precise meaning of the
words. If entering a query term returns a document with a certain
type of content, that content defines the term’s meaning. The
iterative nature of this process allows searchers to enter into a
learning mode whereby more than the immediate retrieved items
is being consciously or unconsciously registered.</p>
      <p>
        Once results are returned, searchers read and interpret text in the
foreign language. While searchers find this difficult and often rely
on visual information to supplement their reading, this phase of
the foreign-language search process presents fewer challenges
than constructing queries. Reading and interpreting text with a
very specific purpose can advance language learning greatly.
Encountering new vocabulary in context helps learning its
meaning. Interacting with grammatically correct and well-written
text helps learning about the underlying structures of language.
The iterative cycles of reading and interpreting results and
constructing queries can lead to enhanced learning through
verifying meaning in the context of the results and interpreting
content through reading [
        <xref ref-type="bibr" rid="ref2 ref5 ref8">1, 3, 5, 9, 12, 15</xref>
        ].
      </p>
    </sec>
    <sec id="sec-5">
      <title>2.2 Learning About an Unfamiliar</title>
    </sec>
    <sec id="sec-6">
      <title>Information Landscape and Culture</title>
      <p>
        Moreover, as these searchers interact with information in a foreign
language, they also are exposed to sometimes unfamiliar
information landscapes [
        <xref ref-type="bibr" rid="ref3">10</xref>
        ], which they have to learn to navigate.
Different cultures have different values and notions associated
with information and varying practices of writing and publishing
information. Sources and genres of information can be unfamiliar
as well, and thus searchers can have difficulty judging the
credibility and authority of information. [
        <xref ref-type="bibr" rid="ref8">15</xref>
        ] By searching these
information spaces, individuals get a sense of what the categories
mean, in a particular context, and are able to understand the
embedded values and relationships proper to a particular cultural
context: for instance, how the healthcare or education system is
conceptualized in one country vs. another, or what the foreign
credentials recognition process says about labor market
integration in a given country [
        <xref ref-type="bibr" rid="ref2">3, 9</xref>
        ]. Seeking information
becomes a lot about learning about the new environment and how
the system works [
        <xref ref-type="bibr" rid="ref3">10</xref>
        ].
      </p>
    </sec>
    <sec id="sec-7">
      <title>3. FEATURES AND FUNCTIONS</title>
      <p>Language learning: Several existing and proposed functions of
search systems can enhance the searching and learning processes
of foreign-language searchers. Query term recommendations and
the presentation of related queries are both excellent tools for
learning about new vocabulary. Providing easy and in-context
translation and definition tools for query terms can support
foreign-language learning as well. The user-controlled translation
of results and resulting documents can also be very beneficial for
enhancing reading comprehension skills. Translation tools are
more widely available now both on search engine results pages
(SERPs) and websites. While translating all text all the time will
not enhance language learning, in-context and on-demand
translation tools can be highly beneficial.</p>
      <p>
        Information landscape: Representing the source and the reliability
of the source on the SERP will improve the decision making
process of these searchers [
        <xref ref-type="bibr" rid="ref6">13</xref>
        ]. Searchers can learn about reliable
sources and by using these sources they can also find and learn
markers of credibility on web information sources.
      </p>
    </sec>
    <sec id="sec-8">
      <title>4. FUTURE RESEARCH DIRECTIONS</title>
      <p>
        Searching in a foreign language is a common occurrence for
Internet users, and provides a great opportunity to learn about the
language and the culture of another country or cultural group. The
language learning behavior of foreign-language searchers is an
area of research that requires further examination. Doing so will
allow us to understand not only the practices involved with
seeking, using and sharing information in a different language, but
also identify learning opportunities and challenges for system
design. Indeed, this understanding can lead to the development of
more appropriate support tools to promote both finding
information as well as the learning that often takes place through
the process. This form of learning is increasingly been
emphasized as a critical form of literacy, as evidenced by
UNESCO's work in the area of global media and information
literacy assesssment [
        <xref ref-type="bibr" rid="ref9">16</xref>
        ].
      </p>
    </sec>
    <sec id="sec-9">
      <title>5. ACKNOWLEDGMENTS</title>
      <p>Our thanks to Google, Inc. for funding part of the research leading
to this paper.</p>
    </sec>
    <sec id="sec-10">
      <title>6. REFERENCES</title>
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[3] Caidi, N., Komlodi, A., Lima Abrao, A., &amp;
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