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.
Ngữ pháp tiếng anh - Rewrite the sentences tổng hợp các bài tập ngữ pháp về viết lại câu trong tiếng Anh, có đáp án kèm theo. Tài liệu phù hợp cho các giảng viên dùng làm bài tập cho các học viên của mình. Đồng thời các bạn học viên cũng có thể sử dụng tài liệu này để ôn tập tốt phần ngữ pháp, chuẩn bị cho các kì thi tiếng Anh dùng trong các trường CĐ-ĐH.
Grammar review. These are review exercises of English grammar. Read the questions carefully, and choose the best word or phrase to complete the sentence. Work as fast as you can. These are review exercises of English grammar. Read the questions carefully, and choose the best word or phrase to complete the sentence. Work as fast as you can.
Use the prepositions which are missing from these sentences to complete the crossword.
Sometimes, the sentence can be completed with more than one preposition, but only one of
them will fit correctly in the crossword grid. Task 2. SIZE
Look at the following list of words and decide whether they can be used to describe
something which is big or something which is small. Write each word in its appropriate box.
The meaning of this category is the attitude of the speaker, or writer towards the content of the
sentence. It is expressed
in the form of the verb.
There are three moods in English-the indicative mood, the imperative mood and the subjunctive mood.
The indicative mood indicates that what is said must be regarded as a fact, as something which has
occurred or is occurring at the moment of speaking or will occur in the future. It may denote actions with
different time-reference and different aspective characteristics.
The GMAT always prefers the sentence that expresses ideas most clearly and succintly. Although style is not usually the only thing that makes an answer choice correct you can very often use style elements, such as brevity, redundancy, or altered intent, to eliminate wrong answer choices.
If so, it's a verb. Is it describing something? Then it's an adjective or adverb. Is it the subject—the person, place or thing performing the action in the sentence? It's a noun or pronoun. Use the surrounding context to help you guess the meaning or at least the part of speech of an unfamiliar word.
Tham khảo tài liệu 'topic 06 – passive voice i. transform the sentences into passive voice 1. hurricanes destroy a', tài liệu phổ thông, ôn thi đh-cđ phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả
. An indica¬
tion of the type of error and/or one possible correction for each incorrect sentence is included
in the User's Guide, It should be noted, however, that many of the incorrect sentences can be
corrected in several ways. The role of the teacher is to assist the students in finding the various
ways that the sentences can be corrected.
The Oxford Monographs on Criminal Law and Justice series covers all aspects of criminal law and procedure including criminal evidence. The scope of the series is wide, encompassing both practical and theoretical works.
This volume is a thematic collection of essays on sentencing theory by leading writers.
Sentence Similarity is the process of computing a similarity score between two sentences. Previous sentence similarity work ﬁnds that latent semantics approaches to the problem do not perform well due to insufﬁcient information in single sentences. In this paper, we show that by carefully handling words that are not in the sentences (missing words), we can train a reliable latent variable model on sentences.
Identifying background (context) information in scientiﬁc articles can help scholars understand major contributions in their research area more easily. In this paper, we propose a general framework based on probabilistic inference to extract such context information from scientiﬁc papers. We model the sentences in an article and their lexical similarities as a Markov Random Field tuned to detect the patterns that context data create, and employ a Belief Propagation mechanism to detect likely context sentences. ...
In this paper, we introduce a corpus of consumer reviews from the rateitall and the eopinions websites annotated with opinion-related information. We present a two-level annotation scheme. In the ﬁrst stage, the reviews are analyzed at the sentence level for (i) relevancy to a given topic, and (ii) expressing an evaluation about the topic.
We propose an automatic method of extracting paraphrases from deﬁnition sentences, which are also automatically acquired from the Web. We observe that a huge number of concepts are deﬁned in Web documents, and that the sentences that deﬁne the same concept tend to convey mostly the same information using different expressions and thus contain many paraphrases. We show that a large number of paraphrases can be automatically extracted with high precision by regarding the sentences that deﬁne the same concept as parallel corpora. ...
Effectively identifying events in unstructured text is a very difﬁcult task. This is largely due to the fact that an individual event can be expressed by several sentences. In this paper, we investigate the use of clustering methods for the task of grouping the text spans in a news article that refer to the same event. The key idea is to cluster the sentences, using a novel distance metric that exploits regularities in the sequential structure of events within a document.