This thesis deals with rhythmic differences between Vietnamese English and the British Standard. As all the recorded speakers were originally from Northern Vietnam or lived there for an extensive period of time, it should be noted that the subject of analysis was in fact North Vietnamese English. The theoretical part describes the concept of rhythm in general and modern approaches to its analysing and measuring. Furthermore, the theoretical chapter describes the basics of phonetic characteristics of the Vietnamese language and the British standard of English. The last chapter of the theoretical part constitutes a bridge between theory and analysis as it explains selected features of Vietnamese English concerning mainly the realization of vowels and consonants. The next part is dedicated to methodology and it informs the reader about the criteria for selection of speakers and the means of gathering and processing material. At the end, a number of hypotheses regarding Vietnamese English are presented. In the analysis, values for rhythm metrics for Vietnamese English (%V, ΔV, ΔC, varcoV, varcoC, rPVI-V, rPVI-C, nPVI-V, nPVI-C) are calculated, compared to the rhythm metrics for British English and further evaluated in relation to gender, speakers and prosodic compactness. The results of the analysis...

Abstract Language is a repertoire of culture and a powerful and versatile medium in communication. Idioms mirror human wisdom in the process of conceptualization of the world. Idioms have interlocked and grown into records of a community’s past culture. Idioms therefore constitute a rich, but at the same time elusive, area of cross-cultural exchanges. Idioms reflect the colour and variety of human social activities, and so play an important role in the linguistic ontologization of emotions. The vocabulary of emotions has been the object of intensive investigations in many languages, but bibliographical exploration reveals that idioms as a component of the lexicon are not yet part of the main field of theoretical interest. In particular, while there have been studies of idioms of emotion in English, there have been few on emotion idioms in Vietnamese, and very few systematic investigations of emotion idioms (EIs) across English and Vietnamese. Hence, our linguistic study of the conceptualization of emotions in English and Vietnamese will significantly contribute to the development of this research domain with data from a language other than English. The study undertakes a contrastive investigation of idioms that express the seven basic emotional concepts of HAPPINESS, SADNESS, ANGER, DISGUST, LOVE, FEAR, and DESIRE in English and Vietnamese. There are three foci: (1) similarities and differences in formal structure between the EIs in English and Vietnamese; (2) similarities and differences in semantics between such idioms; and (3) an investigation of the patterning and regularities of the established similarities and differences between the EIs in the two languages. To the end, we have conducted a hand search approach of the dictionaries in both languages, which has enabled the establishing of a corpus of 1065 entries (603 for English and 462 for Vietnamese). As regards the formal structure, the study sets up the lexicogrammatical frames for the canonical forms and variation patterns of the idioms, and interrelates quantitatively and quantitatively the relationship of the idioms’ variant form vis-à-vis the canonical form. In light of the findings, the study has shown that a high level of canonicity is observed in the idioms in both English and Vietnamese. In general, they conform to a restricted number of construction types: verbal, nominal, adjectival, prepositional, and sentential. Nevertheless, many other idioms permit variable flexibility in their composition: the substitutability of their component parts, insertion of lexical items, and some variation in syntactic patterning. For the idioms which are logged as canonical and variant, we have suggested rules to cover the patterns. As regards the semantic features of the idioms, the study is substantially reliant on the theory of conceptual metaphor (CMT) and metonymy, as first developed by Lakoff & Johnson (1980), to analyze the data. The data analysis leads to the discovery of conceptual mappings/correspondences from the various source domains on to the target domains of emotions, which are very productive of idioms. An in-depth analysis of cross-linguistic and cross-cultural aspects in the idioms is provided to determine similarities and differences in terms of conceptualization of the emotions between the two languages. The contrastive analysis of idioms reported in the traditional literature is usually the comparison of idioms with body-part terms: e.g., mát mặt (‘cool face’) ‘HAPPINESS’ in Vietnamese; lose one’s head in English, animals: e.g., gầm như hổ đói (‘roar like tiger hungry’); go ape ‘ANGER’, and colours: e.g., đỏ mặt tía tai (‘red face purple ear’); blue in the face ‘ANGER’. The present analysis seeks greater explanatory depth and theoretical grounding in the framework of cognitive linguistics. We present the semantic patterning of the idioms, and the patterning in turn reveals how English and Vietnamese people talk about and structure the abstract conceptual domains (i.e., emotions) (Gibbs & Wilson, 2002). In light of the findings, this research has revealed both commonalities and differences in the conceptualization of the emotions in English and Vietnamese. The affinities are grounded in common bodily experiences. On the other hand, cross-cultural variations are also obvious. The most important conclusion that can be drawn for the study is that metaphors and metonymies involved in emotion-expressing idioms are not only heavily subject to physiological basis (Solomon, 1984), but also to cultural influences on the basis of the cultural image schemas (Dobrovol'skij & Piirainen, 2006; Emanatian, 1995; Geeraerts & Grondelaers, 1995; Ungerer, 1993). The thesis also presents implications concerning the linguistic ontologization of emotions, and their application to second language learning and the translation of idioms.

Dans l'ère de l'information et de la connaissance, la traduction automatique (TA) devientprogressivement un outil indispensable pour transposer la signification d'un texte d'une langue source versune langue cible. La TA des noms propres (NP), en particulier, joue un rôle crucial dans ce processus,puisqu'elle permet une identification précise des personnes, des lieux, des organisations et des artefacts àtravers les langues. Malgré un grand nombre d'études et des résultats significatifs concernant lareconnaissance d'entités nommées (dont le nom propre fait partie) dans la communauté de TAL dans lemonde, il n'existe presque aucune recherche sur la traduction automatique des noms propres (TANP) pourle vietnamien. En raison des caractéristiques différentes d'écriture de NP, la translittération ou la transcription etla traduction de plusieurs de langues incluant l'anglais, le français, le russe, le chinois, etc. vers levietnamien, le TANP de ces langues vers le vietnamien est stimulant et problématique. Cette étude seconcentre sur les problèmes de TANP d’anglais vers le vietnamien et de français vers le vietnamienrésultant du moteurs courants de la TA et présente les solutions de prétraitement de ces problèmes pouraméliorer la qualité de la TA. A travers l'analyse et la classification d'erreurs de la TANP faites sur deux corpus parallèles detextes avec PN (anglais-vietnamien et français-vietnamien), nous proposons les solutions concernant deuxproblématiques importantes: (1) l'annotation de corpus, afin de préparer des bases de données pour leprétraitement et (2) la création d'un programme pour prétraiter automatiquement les corpus annotés, afinde réduire les erreurs de la TANP et d'améliorer la qualité de traduction des systèmes de TA, tels queGoogle, Vietgle, Bing et EVTran. L'efficacité de différentes méthodes d'annotation des corpus avec des NP ainsi que les tauxd'erreurs de la TANP avant et après l'application du programme de prétraitement sur les deux corpusannotés est comparés et discutés dans cette thèse. Ils prouvent que le prétraitement réduitsignificativement le taux d'erreurs de la TANP et, par la même, contribue à l'amélioration de traductionautomatique vers la langue vietnamienne. / Machine translation (MT) has increasingly become an indispensable tool for decoding themeaning of a text from a source language into a target language in our current information and knowledgeera. In particular, MT of proper names (PN) plays a crucial role in providing the specific and preciseidentification of persons, places, organizations, and artefacts through the languages. Despite a largenumber of studies and significant achievements of named entity recognition in the NLP communityaround the world, there has been almost no research on PNMT for Vietnamese language. Due to the different features of PN writing, transliteration or transcription and translation from a variety of languages including English, French, Russian, Chinese, etc. into Vietnamese, the PNMT from those languages into Vietnamese is still challenging and problematic issue. This study focuses on theproblems of English-Vietnamese and French-Vietnamese PNMT arising from current MT engines. First,it proposes a corpus-based PN classification, then a detailed PNMT error analysis to conclude with somepre-processing solutions in order to improve the MT quality. Through the analysis and classification of PNMT errors from the two English-Vietnamese and French-Vietnamese parallel corpora of texts with PNs, we propose solutions concerning two major issues:(1)corpus annotation for preparing the pre-processing databases, and (2)design of the pre-processingprogram to be used on annotated corpora to reduce the PNMT errors and enhance the quality of MTsystems, including Google, Vietgle, Bing and EVTran. The efficacy of different annotation methods of English and French corpora of PNs and the results of PNMT errors before and after using the pre-processing program on the two annotated corporaare compared and discussed in this study. They prove that the pre-processing solution reducessignificantly PNMT errors and contributes to the improvement of the MT systems’ for Vietnameselanguage.