Volume 03 Issue 06-2023
108
American Journal Of Philological Sciences
(ISSN
–
2771-2273)
VOLUME
03
ISSUE
06
P
AGES
:
108-111
SJIF
I
MPACT
FACTOR
(2022:
5.
445
)
(2023:
6.
555
)
OCLC
–
1121105677
Publisher:
Oscar Publishing Services
Servi
ABSTRACT
In modern society life is changing due to vast using innovative technology in all human domains, especially in higher
education system. Learning FL is a long, complex process, requires learners to work hard on acquisition linguistic skills
(writing, reading, speaking and listening). In such case we have to use information technology in order to better
motivate learners learning languages with more interest comparing to traditional methods of teaching. Consequently,
in reading comprehension adult learners mostly rely and spend much time on machine translation (GT) to perform
tasks such as translating authentic texts on specialty from German into Uzbek which enable them quick accomplishing
in that area of learning.
KEYWORDS
German language, Uzbek language, machine translation, written context, specialty.
INTRODUCTION
In acquisition of any languages, learners should have
sufficient vocabulary words or terminology which
specifies any profession they study. Reading
comprehension in German language classes for
professions is quite difficult because adult learners
cannot understand the known words while
interpreting the text. Furthermore, the learners must
know the meaning of the terminology of that field in
order to better interpretation of that word occurring in
the contexts. We decided to make needs analysis in
translating professionally-oriented contexts from
German into Uzbek language. We use different
Research Article
TECHNOLOGY IMPROVING SCIENCE
Submission Date:
June 09, 2023,
Accepted Date:
June 14, 2023,
Published Date:
June 19, 2023
Crossref doi:
https://doi.org/10.37547/ajps/Volume03Issue06-16
Ravshanova Nasiba Karamatovna
Senior Lecturer, German Language Teacher Department Of Foreign Languages Karshi Engineering-Economics
Institute Karshi, Uzbekistan
Journal
Website:
https://theusajournals.
com/index.php/ajps
Copyright:
Original
content from this work
may be used under the
terms of the creative
commons
attributes
4.0 licence.
Volume 03 Issue 06-2023
109
American Journal Of Philological Sciences
(ISSN
–
2771-2273)
VOLUME
03
ISSUE
06
P
AGES
:
108-111
SJIF
I
MPACT
FACTOR
(2022:
5.
445
)
(2023:
6.
555
)
OCLC
–
1121105677
Publisher:
Oscar Publishing Services
Servi
translation methods in order to interpret the whole
meaning of the written context.
The view of linguists according to the translation
issues. To perceive meaning of whole context is not
easy because learners sometimes lack of prior,
grammatical and lexical knowledge. With the
infiltration of numerous translation tools and free
translation websites, electronic dictionaries, online
dictionaries or vocabulary glosses those are integrated
into language learning software or web pages
(Paramaswari Jaganathan, Maryam Hamzah, Ilangko
Subramaniam 2014; Laufer, B., & Hill, M. 2000) learners
may definite the meaning of text. What’s more,
Halliday reports that technical language is endowed
with many peculiarities regarding to grammar and
linguistic structures; lexicon, terminology, style, and
syntax. In addition, in the process of translating texts
with full of profession-oriented terminology learners
often encounter widely use of nominalization.
Nominalization is a type of word formation in which a
verb or an adjective is used as a noun (Halliday, M.A.K).
Nominalization together with pre-modification and
compounding all tend to reduce the number of
function words and make the text more ‘dense’ with
lexical words (Halliday, M.A.K;, Perez Ruiz, L., 2006;
Crespo, B., 2011). FL learners have to be sufficiently
familiar with the specific terminology, and even more
importantly, to have a good knowledge of the specific
concepts, processes, situations and phenomena the
specialized language is communicating (Zorita, C.H.,
Sand
oval, A.M., 2016; Robinson, D., 2012). What’s
more, Bozorgian and Azadmanesh also carried out an
experiment on the issues of translation by GT having
compared with human mind; as a result, findings
revealed that neural machine translation does not
handle subject-verb agreement very well while
translating English sentences into Persian comparing
to human mind translation. Therefore, human mind
translation is considered to be more effective and
productive than GT and human mind has the ability of
thinking and deciding which GT has not. Moreover,
Keshavarz linguistically divided errors into four major
groups as (a) orthographic errors, (b) phonological
errors,
(c)
lexicosemantic
errors,
and
(d)
morphological-syntactic errors. Error analysis for
learners is important as it indicates the areas of
difficulty in their writing. To translate a text GT
machine searches different documentaries to find the
best appropriate translation pattern between
translated texts by human Keshavarz, M. H. (1999).
SMT translates an European language into another
European language much better than those pairs of
languages which evolve asian languages (Karami, O.
2014). Not only are the scores from automatic machine
translation metrics not sufficient and clear to define
machine translation quality, but also they are
approximate and uncertain. Therefore, they fail in
providing enough insight for error analysis (Aiken, M.,
& Balan, Sh. .2011). Translation is of high importance for
Volume 03 Issue 06-2023
110
American Journal Of Philological Sciences
(ISSN
–
2771-2273)
VOLUME
03
ISSUE
06
P
AGES
:
108-111
SJIF
I
MPACT
FACTOR
(2022:
5.
445
)
(2023:
6.
555
)
OCLC
–
1121105677
Publisher:
Oscar Publishing Services
Servi
better assimilation of the specialized terminology, as it
helps professionally oriented students to interpret
scientific and technical texts of the oil and gas sector
while reading. Furthermore, terminology of this field is
being more required by officials in recent years due to
the developments of oil and gas industry in our
country. Additionally, learners feel a failure in
translating specific vocabulary (technical terminology),
which complicates the comprehension of context in
the process of reading since they could hardly find L1
translation, and those translated from English into
Uzbek, that indicates the lexical deficiency in the field
of oil and gas in L1 (Abdinazarov. Kh. 2021)
Interpretation written context in German language
Die Studenten haben jahrlich zweimal Ferien, im Winter
und im Sommer. Deshalb heiben sie winterferien und
Sommerferien.
Die
Winterferien
nennt
man
Prasidenternferien. Die Winterferien sind kurz. Sie
dauern hochstens zwei Wochen. Dei Sommerferien
sind viel langer. Sie dauern von Anfang juli bis Ende
August.
Die Studenten veranstalten ihre Ferien, wie sie wollen.
Die Ferien sindfur dei Erholung gut geeignet. Da fahren
viele Studenten zu ihren Eltern und verbringen die Ziet
in Ruhe und Geborgenheit.
Talabalar yiliga ikki marta qishki va yozgi ta'tilga ega.
Shuning uchun ular qishki ta'til va yozgi ta'til deb
ataladi. Qishki ta'tillar prezident bayramlari deb ataladi.
Qishki ta'tillar qisqa. Ular maksimal ikki hafta davom
etadi. Yozgi ta'til ancha uzoqroq. Ular iyul oyining
boshidan avgust oyining oxirigacha davom etadi.
Talabalar ta'tilni o'zlari xohlagancha tashkil qiladi. Dam
olish kunlari dam olish uchun yaxshi. Ko'pgina talabalar
ota-onalari oldiga haydab, vaqtlarini tinchlik va
xavfsizlikda o'tkazishadi.
Conclusion. Language varies according to its lexic-
semantic, morphologic features. Knowing a word or
terminology of any sphere of science provides
additional knowledge, information. Furthermore, any
speciality has its wide range of vocabulary which we
should know for reading comprehension and listening
one. We carried out research translating written
context from German into Uzbek one by GT platform.
The result showed that semi-technical vocabulary
words can be translated by GT but technical one is very
difficult.
REFERENCES
1.
Abdinazarov. Kh. Sh. Petroleum engineering
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-83. www.fledu.uz
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Paramaswari Jaganathan, Maryam Hamzah,
Ilangko Subramaniam (2014). An Analysis of
Google Translate Use in Decoding Contextual
Volume 03 Issue 06-2023
111
American Journal Of Philological Sciences
(ISSN
–
2771-2273)
VOLUME
03
ISSUE
06
P
AGES
:
108-111
SJIF
I
MPACT
FACTOR
(2022:
5.
445
)
(2023:
6.
555
)
OCLC
–
1121105677
Publisher:
Oscar Publishing Services
Servi
Semanticity among EFL Learners. Asian Journal
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