Retraction Note to: Machine learning-based prediction of urban soil environment and corpus translation teaching

نویسندگان

چکیده

In recent years, due to the development of science and technology, existence objective factors such as people’s abuse pesticides unreasonable development, soil has been seriously polluted, its quality also declined. People’s living environment agricultural products they need are affected by it. Frequent problems have sustainable ecological environment. This article takes central western parts a province survey object, uses methods geological accumulation index comprehensive pollution analyze status area, fertility evaluate in fresh food production area. The AERMOD model was used calculate dry sedimentation, wet total sedimentation organic waste gas. addition, era big data, with emergence artificial intelligence translation technology developed rapidly become new favorite industry, which had an important impact on industry. It puts forward requirements for construction corpus. Constructing ecology prediction from perspective is helpful construct connotation interconnection, mutual restriction interaction among system components. thesis guided theoretical thoughts translation, tries explore advancement constructing view translation. Through application project management concepts daily teaching, it can help student better master process improve their ability.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

construction and validation of translation metacognitive strategy questionnaire and its application to translation quality

like any other learning activity, translation is a problem solving activity which involves executing parallel cognitive processes. the ability to think about these higher processes, plan, organize, monitor and evaluate the most influential executive cognitive processes is what flavell (1975) called “metacognition” which encompasses raising awareness of mental processes as well as using effectiv...

Machine translation and corpus-based methods

For this term paper in the course Natural Language Processing, NLP1 within GSLT, I have chosen to explore some issues of NLP related to machine translation (MT). The development in MT systems shows that the aim is clearly not to replace human translators but instead to focus on domain-restricted mass-translations and systems for non-translators, new areas enabled by modern information technics....

متن کامل

Parse and Corpus-Based Machine Translation

The current state-of-the-art in machine translation consists of phrase-based statistical machine translation (PB-SMT) [23], an approach which has been used since the late 1990s, evolving from word-based SMT proposed by IBM [5]. These stringbased techniques (which use no linguistic knowledge) seem to have reached their ceiling in terms of translation quality, while there are still a number of li...

متن کامل

Prediction of Learning Curves in Machine Translation

Parallel data in the domain of interest is the key resource when training a statistical machine translation (SMT) system for a specific purpose. Since ad-hoc manual translation can represent a significant investment in time and money, a prior assesment of the amount of training data required to achieve a satisfactory accuracy level can be very useful. In this work, we show how to predict what t...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Arabian Journal of Geosciences

سال: 2021

ISSN: ['1866-7511', '1866-7538']

DOI: https://doi.org/10.1007/s12517-021-08904-4