Translating Collocations for Bilingual Lexicons: A Statistical Approach

Collocations are notoriously difficult for non-native speakers to translate, primarily because they are opaque and cannot be translated on a word-by-word basis. We describe a program named Champollion which, given a pair of parallel corpora in two different languages and a list of collocations in one of them, automatically produces their translations. Our goal is to provide a tool for compiling bilingual lexical information above the word level in multiple languages, for different domains. The algorithm we use is based on statistical methods and produces p-word translations of n-word collocations in which n and p need not be the same. For example, Champollion translates make...decision, employment equity, and stock market into prendre...décision, équité en matière d'emploi, and bourse respectively. Testing Champollion on three years' worth of the Hansards corpus yielded the French translations of 300 collocations for each year, evaluated at 73% accuracy on average. In this paper, we describe the statistical measures used, the algorithm, and the implementation of Champollion, presenting our results and evaluation

A Pattern Matching method for finding Noun and Proper Noun Translations from Noisy Parallel Corpora

We present a pattern matching method for compiling a bilingual lexicon of nouns and proper nouns from unaligned, noisy parallel texts of Asian/Indo-European language pairs. Tagging information of one language is used. Word frequency and position information for high and low frequency words are represented in two different vector forms for pattern matching. New anchor point finding and noise elimination techniques are introduced. We obtained a 73.1\% precision. We also show how the results can be used in the compilation of domain-specific noun phrases.Comment: 8 pages, uuencoded compressed postscript file. To appear in the Proceedings of the 33rd AC

A corpus-based study of Chinese and English translation of international economic law: an interdisciplinary study

International Economic Law (IEL), a sub-discipline of International Law, is concerned with the regulation of international economic relations and the behaviours of States, international organisations, and firms operating in the international arena. Due to the increase in commercial intercourse, translation of International Economic Law has become an important factor in promoting cross-cultural communication. The translation of IEL is not purely a technical exercise that simply involves the linguistic translations from one language to another but rather a social and cultural act. This research sets out to examine the translation of terminology used in International Economic Law (IEL) – drawing on data from a bespoke self-built Parallel Corpus of International Economic Law (PCIEL) using a corpus-based, systematic micro-level framework – to analyse the subject matter and to discuss the feasibility of translating these legal terms at the word level, and the sentence and discourse level, with a particular focus on the impact of cultural influences. The study presents the findings from the Chinese translator’s perspective regarding International Economic Law from English/Chinese into Chinese/English with a focus on the areas of law, economics, and culture. The contribution made by a corpus-based approach applied to the interdisciplinary subject of IEL is explored. In particular, this establishes a link between linguistic and non-linguistic study in translating legal texts, especially IEL. The corpus data are organized in different semantic fields and the translation analysis covers lexical, sentential and cultural perspectives. This research demonstrates that not only linguistic factors, but, also, cultural factors make clear contributions to the translation of terminology in PCIEL

METRICC: Harnessing Comparable Corpora for Multilingual Lexicon Development

International audienceResearch on comparable corpora has grown in recent years bringing about the possibility of developing multilingual lexicons through the exploitation of comparable corpora to create corpus-driven multilingual dictionaries. To date, this issue has not been widely addressed. This paper focuses on the use of the mechanism of collocational networks proposed by Williams (1998) for exploiting comparable corpora. The paper first provides a description of the METRICC project, which is aimed at the automatically creation of comparable corpora and describes one of the crawlers developed for comparable corpora building, and then discusses the power of collocational networks for multilingual corpus-driven dictionary development

Perceptions on L2 Lexical Collocation Translation with a Focus on English-Arabic

This paper aims to shed light on recent research concerning translating English-Arabic lexical collocations. It begins with a brief overview of English and Arabic lexical collocations with reference to specialized dictionaries. Research views on translating lexical collocations are presented, with the focus on English-Arabic collocations. These views have supported the notion that translating English-Arabic lexical collocations by second language learners is a problematic matter that needs attention. Then, highlighting second language learners’ errors when translating English lexical collocations is due to inaccessible collocation dictionaries, semantic, syntactic differences between the L1 and L2. This paper concludes with an overview of how teacher instruction can facilitate collocation translation through dictionaries, and a scaffolding method. Keywords: Collocation, translation, dictionary, and different lexical and grammatical systems.