We propose a novel method for automatically interpreting compound nouns based on a predeﬁned set of semantic relations. First we map verb tokens in sentential contexts to a ﬁxed set of seed verbs using WordNet::Similarity and Moby’s Thesaurus. We then match the sentences with semantic relations based on the semantics of the seed verbs and grammatical roles of the head noun and modiﬁer. Based on the semantics of the matched sentences, we then build a classiﬁer using TiMBL.
Every sentence has at least one verb. When you construct sentences, you have to pay
close attention to the verbs. You must choose the correct tense of the verb and make the
verb agree with its subject. The following discussion centers on these aspects of verbs. The
lesson ends with a review of some verb pairs that are especially troublesome.
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.
There is an answer key for all the exercises apart from the
translation exercise at the end of each unit test.
Each test has a total score of 100.
These tests may be photocopied freely for classroom use.
They may not be adapted, printed, or sold without the
permission of Oxford University Press. Complete the sentences with a compound noun or
adjective formed from life, house, or home. Make sure
you spell the word correctly (one word, two words, or
with a hyphen).
WORD STRESS 2 Trong bài học này chúng ta sẽ xem xét về cách nhấn trọng âm trong các từ ghép gồm: - Danh từ ghép (Compound nouns) - Động từ ghép/ Cụm động từ (Compound verbs/ Phrasal verbs) - Tính từ ghép
In this paper a method to incorporate linguistic information regarding single-word and compound verbs is proposed, as a ﬁrst step towards an SMT model based on linguistically-classiﬁed phrases. By substituting these verb structures by the base form of the head verb, we achieve a better statistical word alignment performance, and are able to better estimate the translation model and generalize to unseen verb forms during translation. Preliminary experiments for the English - Spanish language pair are performed, and future research lines are detailed. ...
grmmar for usage for better writing is a basic workbook that can provide a foundation for further study in english grammar and usage. it will benefit students who are learning the essentials for the first time sas well as those who wish to review concepts.
Unit 1: Clause and sentence structure.
Simple sentences have one clause.
Clauses usually consist of a noun group as the subject, and a verb group.
Clauses can also have another noun group as the object or complement.
Clauses can have an adverbial, also called an adjunct.
Changing the order of the words in a clause can change its meaning.
Compound sentences consist of two or more main clauses. Complex sentences always include
a subordinate clause, as well as one or more main clauses....
3 With compound tenses, they are placed after the first auxiliary, or, with interrogative verbs, after auxiliary +
subject: He can never understand. You have often been told not to do that. Have you ever ridden a camel? Exceptions
(a) used to and have to prefer the adverb in front of them:
You hardly ever have to remind him; he always remembers.
(b) Frequency adverbs are often placed before auxiliaries when these are used alone, in additions to remarks or in
answers to questions:
Can you park your car near the shops? ~ Yes, I usually can....
Counts from large corpora (like the web) can be powerful syntactic cues. Past work has used web counts to help resolve isolated ambiguities, such as binary noun-verb PP attachments and noun compound bracketings. In this work, we ﬁrst present a method for generating web count features that address the full range of syntactic attachments. These features encode both surface evidence of lexical afﬁnities as well as paraphrase-based cues to syntactic structure.
Noun phrases consisting of a sequence of nouns (sometimes referred to as nominal compounds) pose considerable difficulty for language analyzers but are common in many technical domains. The problems are compounded when some of the nouns in the sequence are ambiguously also verbs. The phrasal approach to language analysis, as implemented in PHRAN (PHRasal ANalyzer), has been extended to handle the recognition and partial analysis of such constructions. The phrasal analysis of a noun sequence is performed to an extent sufficient for continued analysis of the sentence in which it appears.
In this paper, we systematically assess the value of using web-scale N-gram data in state-of-the-art supervised NLP classiﬁers. We compare classiﬁers that include or exclude features for the counts of various N-grams, where the counts are obtained from a web-scale auxiliary corpus. We show that including N-gram count features can advance the state-of-the-art accuracy on standard data sets for adjective ordering, spelling correction, noun compound bracketing, and verb part-of-speech disambiguation. ...
We present a simple linguistically-motivated method for characterizing the semantic relations that hold between two nouns. The approach leverages the vast size of the Web in order to build lexically-speciﬁc features. The main idea is to look for verbs, prepositions, and coordinating conjunctions that can help make explicit the hidden relations between the target nouns.
A method of determining the similarity of nouns on the basis of a metric derived from the distribution of subject, verb and object in a large text corpus is described. The resulting quasi-semantic classification of nouns demonstrates the plausibility of the distributional hypothesis, and has potential application to a variety of tasks, including automatic indexing, resolving nominal compounds, and determining the scope of modification. 1. I N T R O D U C T I O N A variety of linguistic relations apply to sets of semantically similar words. ...