Lexical choices

This article aimsto discover discourse features of resumés in English from the perspective of Multimodal Discourse Analysis (MDA). It focuses on describing layout features, lexical choices, grammar features and the image-language relations in 50 English resumés based on the qualitative method.

6p vigojek 02-02-2024 5 1   Download

This paper is aimed at identifying and examining linguistic features of English texts introducing transport services (ETITSs). The research is conducted based on a combination of various methods such as descriptive, analytic and inductive ones.

5p vijaguar 16-11-2022 20 4   Download

In this paper, we are interested in eight types of road safety equipment namely helmets, seat belts, child safety seats, safety vests, safety glasses, safety gloves, safety shoes and emergency motor/car kits with the aim to help customers choose the best and safest equipment for use in traffic.

4p vijaguar 16-11-2022 26 4   Download

This study presents an investigation into English Articles Warning about the Risks of Natural Resources Exhaustion (EAWREs). There have been a good number of research works on discourse of environmental issues; however, it is found that there have been few studies on discourse analysis of natural resources warnings.

4p vispyker 16-11-2022 8 3   Download

must pay great attention to choice of words in narrations of trailers. This paper is aimed at examining the striking lexical choices employed in the transcriptions of narrations of American cartoon trailers (NACTs). These cartoons cover a variety of themes which are love and sacrifice, youth and beauty, friendship, nature’s beauty, adventures, science fiction, etc.

6p vispyker 16-11-2022 13 5   Download

Để rèn luyện thêm từ vựng, học sinh có thể làm các chương từ I đến V ( Multiple choice Tests, Lexical Core Tests, open close Tests, Word fornation và Trios of Gapped Sentences). Các chương VI (Sentence Completion). VII (Sentence transformation) và VIII (Error Correction) dùng cho việc rèn luyện kĩ năng nhận biết cấu trúc câu.

129p vitsunade2711 02-06-2020 74 14   Download

In natural language generation (NLG), a semantic representation of some k i n d - possibly enriched with pragmatic attributes - - is successively transformed into one or more linguistic utterances. No matter what particular architecture is chosen to organize this process, one of the crucial decisions to be made is lexicalization: selecting words that adequately express the content that is to be communicated and, if represented, the intentions and attitudes of the speaker.

7p buncha_1 08-05-2013 46 1   Download

Substantial formal grammatical and lexical resources exist in various NLP systems and in the form of textbook specifications. In the present paper we report on experimental results obtained in manual, semi-antomatic and automatic migration of entire computational or textbook descriptions (as opposed to a more informal reuse of ideas or the design of a single "polytheoretic" representation) from a variety of formalisms into the ALEP formalism.

9p buncha_1 08-05-2013 49 1   Download

This paper presents a partial solution to a component of the problem of lexical choice: choosing the synonym most typical, or expected, in context. We apply a new statistical approach to representing the context of a word through lexical co-occurrence networks. The implementation was trained and evaluated on a large corpus, and results show that the inclusion of second-order co-occurrence relations improves the performance of our implemented lexical choice program.

3p bunthai_1 06-05-2013 61 3   Download

We present an algorithm for simultaneously constructing both the syntax and semantics of a sentence using a Lexicalized Tree Adjoining Grammar (LTAG). This approach captures naturally and elegantly the interaction between pragmatic and syntactic constraints on descriptions in a sentence, and the inferential interactions between multiple descriptions in a sentence. At the same time, it exploits linguistically motivated, declarative specifications of the discourse functions of syntactic constructions to make contextually appropriate syntactic choices. ...

8p bunthai_1 06-05-2013 46 3   Download

We introduce a method for learning to predict the following grammar and text of the ongoing translation given a source text. In our approach, predictions are offered aimed at reducing users’ burden on lexical and grammar choices, and improving productivity. The method involves learning syntactic phraseology and translation equivalents. At run-time, the source and its translation prefix are sliced into ngrams to generate subsequent grammar and translation predictions.

4p bunthai_1 06-05-2013 36 3   Download

Informal and formal (“T/V”) address in dialogue is not distinguished overtly in modern English, e.g. by pronoun choice like in many other languages such as French (“tu”/“vous”). Our study investigates the status of the T/V distinction in English literary texts. Our main findings are: (a) human raters can label monolingual English utterances as T or V fairly well, given sufficient context; (b), a bilingual corpus can be exploited to induce a supervised classifier for T/V without human annotation.

11p bunthai_1 06-05-2013 58 3   Download

Theodes of semantic interpretation which wish to capture as many generalizations as possible must face up to the manifoldly ambiguous and contextually dependent nature of word meaning? In this paper I present a two-level scheme of semantic interpretation in which the first level deals with the semantic consequences of'syntactic structure and the second with the choice of word meaning.

7p bungio_1 03-05-2013 37 2   Download

which the best lexical choices and the conceptual decisions are in conflict. To prove our theoritical points, we will take as an example the generation of situations involving a result causation, i.e., a new STATE which arises because of one (or several) prior ACTs (Schank 1975).

4p bungio_1 03-05-2013 41 1   Download

In this paper, we discuss the different strategies used in COMET (COordinated Multimedia Explanation Testbed) for selecting words with which the user is familiar. When pictures cannot be used to disambiguate a word or phrase, COMET has four strategies for avoiding unknown words. We give examples for each of these strategies and show how they are implementedin COMET.

9p bunmoc_1 20-04-2013 17 3   Download

Much effort has been put into computational lexicons over the years, and most systems give much room to (lexical) semantic data. However, in these systems, the effort put on the study and representation of lexical items to express the underlying continuum existing in 1) language vagueness and polysemy, and 2) language gaps and mismatches, has remained embryonic.

7p bunrieu_1 18-04-2013 38 3   Download

This paper presents the results of a s t u d y on the semantic constraints imposed on lexical choice by certain contextual indicators. We show how such indicators are computed and how correlations between them and the choice of a noun phrase description of a named entity can be automatically established using supervised learning. Based on this correlation, we have developed a technique for automatic lexical choice of descriptions of entities in text generation.

7p bunrieu_1 18-04-2013 52 2   Download

A lexicon is an essential component in a generation system but few efforts have been made to build a rich, large-scale lexicon and make it reusable for different generation applications. In this paper, we describe our work to build such a lexicon by combining multiple, heterogeneous linguistic resources which have been developed for other purposes. Novel transformation and integration of resources is required to reuse them for generation.

7p bunrieu_1 18-04-2013 35 2   Download

Pipelined Natural Language Generation (NLG) systems have grown increasingly complex as architectural modules were added to support language functionalities such as referring expressions, lexical choice, and revision. This has given rise to discussions about the relative placement of these new modules in the overall architecture. Recent work on another aspect of multi-paragraph text, discourse markers, indicates it is time to consider where a discourse marker insertion algorithm fits in.

8p bunbo_1 17-04-2013 40 1   Download

The EM clustering algorithm (Hofmann and Puzicha, 1998) used here is an unsupervised machine learning algorithm that has been applied in many NLP tasks, such as inducing a semantically labeled lexicon and determining lexical choice in machine translation (Rooth et al., 1998), automatic acquisition of verb semantic classes (Schulte im Walde, 2000) and automatic semantic labeling (Gildea and Jurafsky, 2002).

8p bunbo_1 17-04-2013 42 1   Download