A technique is described for aligning TREC topic descriptions that is capable of producing a small multilingual test collection which can be used for cross language ad hoc and routing evaluations Meth ods for measuring the degree of degradation induced by the necessary approximations are described and illustrated using examples from an evaluation of two cross language routing techniques Althoug...

The amount of entities in large knowledge bases (KBs) has been increasing rapidly, making it possible to propose new ways of intelligent information access. In addition, there is an impending need for systems that can enable multilingual and cross-lingual information access. In this work, we firstly demonstrate X-LiSA, an infrastructure for multilingual and cross-lingual semantic annotation, wh...

In this paper I would like to give an overview of multilingual corpus building to date. In doing so, I will review two types of multilingual corpus, parallel and translation corpora. Following this, I will consider what tools are currently available which allow for the exploitation of such corpora in the context of machine/machine aided translation. Throughout I will give a fairly global view o...

We train a language-universal dependency parser on a multilingual collection of treebanks. The parsing model uses multilingual word embeddings alongside learned and specified typological information, enabling generalization based on linguistic universals and based on typological similarities. We evaluate our parser’s performance on languages in the training set as well as on the unsupervised sc...

With the growing numbers of culturally and linguistically heterogeneous children in classrooms around globe, education multilingual young learners (MYLs) is undergoing a turn (Conteh & Meier, 2014; May, 2014, 2019). Teachers are important agents change who can foster development children’s competences both inside outside classroom (De Angelis, 2011). However, research suggests that while teache...

We present a family of neural-network– inspired models for computing continuous word representations, specifically designed to exploit both monolingual and multilingual text. This framework allows us to perform unsupervised training of embeddings that exhibit higher accuracy on syntactic and semantic compositionality, as well as multilingual semantic similarity, compared to previous models trai...

In this paper, we introduce a multilingual access and retrieval system with enhanced query translation and multilingual document retrieval, by mining bilingual terminologies and aligned document directly from the set of comparable corpora which are to be searched upon by users. By extracting bilingual terminologies and aligning bilingual documents with similar content prior to the search proces...

and language learning. In W. Ritchie and T. Bhatia (eds), The New Handbook of Second Language Acquisition, pp. 647–70. Bingley: Emerald. Norton, B. (2000). Identity and Language Learning: Gender, Ethnicity and Educational Change. London: Longman/Pearson Education. Pavlenko, A. and Blackledge, A. (2004). Introduction: New theoretical approaches to the study of negotiation of identities in multil...

In this paper, we demonstrate how to mine large-scale parallel corpora with multilingual patents, which have not been thoroughly explored before. We show how a large-scale English-Chinese parallel corpus containing over 14 million sentence pairs with only 1-5% wrong can be mined from a large amount of English-Chinese bilingual patents. To our knowledge, this is the largest single parallel corpu...