The purpose of the Test of English as a Foreign
Language (TOEFL®) is to evaluate the English
proficiency of people whose native language is not
English. The test was initially developed to measure
the English proficiency of international students
wishing to study at colleges and universities in the
United States and Canada, and this continues to be
its primary function. However, a number of academic
institutions in other countries, as well as certain
independent organizations, agencies, and foreign
governments, have also found the test scores useful.
Lý thuyết Balanced Score Card – Công cụ quản trị hiệu quả của người lãnh đạo
.Có thể nói, Balanced Score Card (BSC) – Thẻ điểm cân bằng là một trong những công cụ hiệu quả nhất để các cấp lãnh đạo trong một tổ chức quản lý tốt các mục tiêu công việc chủ chốt.
Luận văn trình bày những nội dung cơ bản: lý luận cơ bản về xếp hạng tín dụng và mô hình Z-score, thực tế việc vận dụng mô hình Z-score trong xếp hạng tín dụng khách hàng tại NHTMCP ngoại thương - chi nhánh Quảng Nam.
You’ve found your dream house. The neighborhood
is perfect. The schools are great. The kitchen has
everything you want.
You’ve negotiated a good price. You’ve signed reams
of paperwork. And you open an escrow account.
Then your mortgage broker calls. Remember the
great interest rate she quoted you last week? You
don’t qualify for it. She says there are some problems
with your FICO score. Your interest rate is going
to be higher by almost four percentage points.
Credit and credit scoring can be a mysterious, complex subject, which means
any journalist trying to cover this area of personal finance needs great
sources. I’ve been extraordinarily fortunate to have found experts who not
only knew their fields, but who were willing to spend time helping me under-stand them, too.
At the top of this list is Craig Watts, spokesman for Fair Isaac Corp., who
invested hours researching and carefully answering my endless questions.
When I first started writing about credit scores more than a decade ago, few
people knew what these three-digit numbers were or how they worked.
Today most people have at least a vague understanding that credit scores
are important. But they often don’t realize how important—until they get
turned down for a loan or an apartment, or wind up paying more interest or
higher insurance premiums than they expected.
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Bài viết "Relevance score" giới thiệu đến các bạn tác dụng của điểm chất lượng, công thức tính, cách cải thiện, nâng cao điểm chất lượng,... Đây là tài liệu tham khảo hữu ích cho các bạn chuyên ngành Kinh doanh Marketing.
Low-carbohydrate diets have been advocated for weight loss and to prevent obesity,
but the long-term safety of these diets has not been determined.
We evaluated data on 82,802 women in the Nurses’ Health Study who had completed
a validated food-frequency questionnaire. Data from the questionnaire were
used to calculate a low-carbohydrate-diet score, which was based on the percentage
of energy as carbohydrate, fat, and protein (a higher score reflects a higher intake
of fat and protein and a lower intake of carbohydrate).
Automatic tools for machine translation (MT) evaluation such as BLEU are well established, but have the drawbacks that they do not perform well at the sentence level and that they presuppose manually translated reference texts. Assuming that the MT system to be evaluated can deal with both directions of a language pair, in this research we suggest to conduct automatic MT evaluation by determining the orthographic similarity between a back-translation and the original source text. This way we eliminate the need for human translated reference texts.
The search space of Phrase-Based Statistical Machine Translation (PBSMT) systems can be represented under the form of a directed acyclic graph (lattice). The quality of this search space can thus be evaluated by computing the best achievable hypothesis in the lattice, the so-called oracle hypothesis. For common SMT metrics, this problem is however NP-hard and can only be solved using heuristics.
This is the first single reference of classifications and scores of the shoulder. It gives a clearly structured, well-defined compendium of classifications and scores of the shoulder for use in everyday clinical life to improve and simplify the communication between physicians and physiotherapists. It is the first single reference of classifications and scores of the shoulder. The book is for orthopedic and trauma surgeons, radiologists, and physiotherapists.
Conventional Automated Essay Scoring (AES) measures may cause severe problems when directly applied in scoring Automatic Speech Recognition (ASR) transcription as they are error sensitive and unsuitable for the characteristic of ASR transcription. Therefore, we introduce a framework of Finite State Transducer (FST) to avoid the shortcomings.
This paper focuses on identifying, extracting and evaluating features related to syntactic complexity of spontaneous spoken responses as part of an effort to expand the current feature set of an automated speech scoring system in order to cover additional aspects considered important in the construct of communicative competence.
We deﬁne a new feature selection score for text classiﬁcation based on the KL-divergence between the distribution of words in training documents and their classes. The score favors words that have a similar distribution in documents of the same class but different distributions in documents of different classes. Experiments on two standard data sets indicate that the new method outperforms mutual information, especially for smaller categories.
We describe an approach to improve the bilingual cooccurrence dictionary that is used for word alignment, and evaluate the improved dictionary using a version of the Competitive Linking algorithm. We demonstrate a problem faced by the Competitive Linking algorithm and present an approach to ameliorate it. In particular, we rebuild the bilingual dictionary by clustering similar words in a language and assigning them a higher cooccurrence score with a given word in the other language than each single word would have otherwise.
Because test scores that are part of its enlisted promotion system are not standardized, the U.S. Air Force effectively emphasizes longevity and test-taking ability differently across and within specialties, and this emphasis varies randomly over time. The random aspects of the promotion reward system mean that the Air
Computing confidence scores for applications, such as dialogue system, information retrieving and extraction, is an active research area. However, its focus has been primarily on computing word-, concept-, or utterance-level confidences. Motivated by the need from sophisticated dialogue systems for more effective dialogs, we generalize the confidence annotation to all the subtrees, the first effort in this line of research.
We have developed an automated Japanese essay scoring system called Jess. The system needs expert writings rather than expert raters to build the evaluation model. By detecting statistical outliers of predetermined aimed essay features compared with many professional writings for each prompt, our system can evaluate essays.