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Negative sentences

Xem 1-18 trên 18 kết quả Negative sentences
  • This study investigates the syntactic features and the uses of English andVietnamese negative sentences. This is a descriptive study executed in a contrastiveanalysis with English chosen as the source language and Vietnamese as the targetlanguage. First, we describe major syntactic features and the uses of negativesentences in English and Vietnamese.

    pdf14p thiendiadaodien_5 08-01-2019 23 0   Download

  • Sentiment analysis of citations in scientific papers and articles is a new and interesting problem due to the many linguistic differences between scientific texts and other genres. In this paper, we focus on the problem of automatic identification of positive and negative sentiment polarity in citations to scientific papers. Using a newly constructed annotated citation sentiment corpus, we explore the effectiveness of existing and novel features, including n-grams, specialised science-specific lexical features, dependency relations, sentence splitting and negation features. ...

    pdf7p hongdo_1 12-04-2013 58 6   Download

  • Negative life events, such as death of a family member, argument with a spouse and loss of a job, play an important role in triggering depressive episodes. Therefore, it is worth to develop psychiatric services that can automatically identify such events. In this paper, we propose the use of association language patterns, i.e., meaningful combinations of words (e.g., ), as features to classify sentences with negative life events into predefined categories (e.g., Family, Love, Work).

    pdf4p hongphan_1 15-04-2013 34 2   Download

  • This paper describes a sentence generator that was built primarily to focus on syntactic form and syntactic relationships. Our main goal was to produce a tutorial system for the English language; the intended users of the system are people with language delaying handicaps such as deafness, and people learning English as a foreign language. For these populations, extensive exposure to standard English constructions (negatives, questions, relatlvization, etc.) and their interactions is necessary. ...

    pdf6p bungio_1 03-05-2013 44 1   Download

  • This paper presents a computational model of verb acquisition which uses what we will callthe principle of structured overeommitment to eliminate the need for negative evidence. The learner escapes from the need to be told that certain possibilities cannot occur (i.e.,are "ungrammatical") by one simple expedient: It assumes that all properties it has observed are either obligatory or forbidden until it sees otherwise, at which point it decides that what it thought was either obligatory or forbidden is merely optional.

    pdf8p bungio_1 03-05-2013 32 1   Download

  • A Basic use Some and any go before a plural or uncountable noun (see Unit 85A). There was a bowl and some cornflakes on the table, but there wasn't any milk. We can also use some and any without a noun. Trevor wanted some milk, but he couldn't find any. We normally use some in positive sentences and any in negative sentences or ones with a negative meaning.

    pdf10p codon12 26-12-2010 78 6   Download

  • Sentence-level grammars would also indicate the placement of the be verb in questions. They would also discuss the formation of negative sentences. In English the no/ follows the be verb and can be contracted to It.

    pdf7p kathy213 17-09-2010 46 3   Download

  • Auxiliaries here are used both alone and as part of various tenses of ordinary verbs. Read the following (a) in the negative (b) in the interrogative. These sentences, except for nos. I and 13, could also be used for question tag exercises (see Exercise 13). PEG 106-7, 123, 126 (see also Exercise 17) Some auxiliaries when used in certain ways make their negative and interrogative according to the rule for ordinary verbs, i.e. with do. Sometimes either form is possible.

    pdf270p contentnew 13-04-2012 232 143   Download

  • By the end of the lesson, students will be able to: - Introduce the new sentences and new words. - Know negative command B.Teaching aids: - Pictures, tape recorder, cards of words, teacher cards ( 25 - 32). B.

    pdf8p phalinh13 06-08-2011 98 19   Download

  • Aim : to practise simple Present tense : Positive, negative and internogative forms. Objective : By the end of the lesson, Ss will be able to talk about the school timetable. Visual aids : Word cues. 1 - Warmer : Hangman : start, have, finish 2 - Pre - teach : a timetable English Math Goegraphy Monday Literature History *R.O.R 3 - Presentation : . Set the scene : Ba and Lan are talking about their time table on Monday. . Presentation text : Ss listen and repeat C1 - p. 58 . Model sentences : What do we have today ?...

    pdf6p mobell1209 20-10-2010 235 18   Download

  • By the end of the lesson, students will be able to: - Introduce the new sentences and new words. - Know negative command Teaching aids: - Pictures, tape recorder, cards of words, teacher cards ( 25 - 32). B.

    pdf9p phalinh13 06-08-2011 91 14   Download

  • Works of art are inscribed by the artist on the surface of reality not for their own sake. They are created in order to produce in the spectator those precisely modulated feelings whose constituent elements are represented by the letters, words and sentences of the aesthetic alphabet. We go out of our way to experience such modified feelings, both positive and negative, because they can stand in for genuine phenomena in such a way that, in being contemplated, they give rise to genuine and subtle pleasure. This pleasure has the advantage that it is in a certain sense cut...

    pdf107p dangsuynghi 27-03-2013 46 7   Download

  • Part 12 examines sentences. The main topics are how to form and use active and passive sentences, how to form questions and negatives, and how to change direct quotations to indirect quotations.

    pdf7p kathy210 10-09-2010 62 3   Download

  • We present a version of Inversion Transduction Grammar where rule probabilities are lexicalized throughout the synchronous parse tree, along with pruning techniques for efficient training. Alignment results improve over unlexicalized ITG on short sentences for which full EM is feasible, but pruning seems to have a negative impact on longer sentences.

    pdf8p bunbo_1 17-04-2013 25 3   Download

  • In the Japanese language, as a predicate is placed at the end of a sentence, the content of a sentence cannot be inferred until reaching the end. However, when the content is complicated and the sentence is long, people want to know at an earlier stage in the sentence whether the content is negative, affirmative, or interrogative. In Japanese, the grammatical form called the KO-OU relation exists. The KO-OU relation is a kind of concord. If a KO element appears, then an OU element appears in the latter part of a sentence. ...

    pdf4p bunbo_1 17-04-2013 36 3   Download

  • We propose an unsupervised, iterative method for detecting downward-entailing operators (DEOs), which are important for deducing entailment relations between sentences. Like the distillation algorithm of Danescu-Niculescu-Mizil et al. (2009), the initialization of our method depends on the correlation between DEOs and negative polarity items (NPIs). However, our method trusts the initialization more and aggressively separates likely DEOs from spurious distractors and other words, unlike distillation, which we show to be equivalent to one iteration of EM prior re-estimation.

    pdf10p bunthai_1 06-05-2013 31 3   Download

  • We investigate the expression of opinions about human entities in user-generated content (UGC). A set of 2,800 online news comments (8,000 sentences) was manually annotated, following a rich annotation scheme designed for this purpose. We conclude that the challenge in performing opinion mining in such type of content is correctly identifying the positive opinions, because (i) they are much less frequent than negative opinions and (ii) they are particularly exposed to verbal irony.

    pdf5p hongdo_1 12-04-2013 31 2   Download

  • This paper introduces an approach to Twitter sentiment analysis, with the task of classifying tweets as positive, negative or neutral. In the preprocessing task, we propose a method to deal with two problems: (i) repeated characters in informal expression of words; and (ii) the affect of contrast word in determining sentence polarity.

    pdf7p visasuke2711 25-04-2019 4 0   Download

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