Bilingual Dictionary

We propose a novel context heterogeneity similarity measure between words and their translations in helping to compile bilingual lexicon entries from a non-parallel English-Chinese corpus. Current algorithms for bilingual lexicon …...

The Pangloss Example-Based Machine Translation engine (I'anEI3MT) l is a translation system reql,iring essentially no knowledge of the structure of a lan- guage, merely a large parallel corpus of example …...

This paper describes an accurate and robust text alignment system for struc- turally different languages. Among structurally different languages such as Japanese and English, there is a limitation on the …...

The task of aligning sentences in parallel corpora of two languages has been well studied using pure sta- tistical or linguistic models. We developed a linguis- tic method based on …...

Bilingual or Multilingual speech recognition gradually becomes an attractive research topic because bilingual writings appear almost everywhere in present day. In this paper, we propose a continuous word-based speech recognition …...

This paper explores the automatic construction of a multilingual Lexical Knowledge Base from pre-existing lexical resources. We present a new and robust approach for linking already existing lexical/semantic hierarchies. We …...

This paper proposes a new model of machine translation system in which rule-based and example-based approaches are applied for English-to-Thai sentence translation. The proposed method has 4 steps :1) analyze …...

AbstractThe Computing Research Laboratory is currently developing technologies that allow rapid deployment of automatic translation capabilities. These technologies are designed to handle low-density languages for which resources, be that human …...

Building a bilingual dictionary for transfer in a machine translation system is conventionally done by hand and is very time-consuming. In order to overcome this bottleneck, we propose a new …...

AbstractWe present a method for combining two bilingual dictionaries to make a third, using one language as a pivot. In this case we combine a Japanese-English dictionary with a Malay-English …...

Manually constructing an inventory of word senses has suffered from problems including high cost, arbitrary assignment of meaning to words, and mismatch to domains. To over- come these problems, we …...

In this paper, we propose a new method for effectively acquiring bilingual knowledge by ex- ploiting the dependency relations among the aligned chunks and words. We use a monolingual dependency …...

. Multiple target translations are due to several meanings of source words, and various target word equivalents depending on the context of the source word. Thus, an automated approach is …...

This paper explores methods for generating subjectivity analysis resources in a new lan- guage by leveraging on the tools and re- sources available in English. Given a bridge between English …...

AbstractThis paper is a description of the system presented by the LIG laboratory to the IWSLT07 speech translation evaluation. The LIG participated, for the first time this year, in the …...

This paper describes an initial version of a general purpose French/English statistical ma- chine translation system. The main features of this system are the open-source Moses de- coder, the integration …...

Bilingual dictionaries are vital resources in many areas of natural language processing. Numerous methods of machine translation re- quire bilingual dictionaries with large cover- age, but less-frequent language pairs rarely …...

In this paper, we present a feature-based me- thod to align documents with similar content across two sets of bilingual comparable cor- pora from daily news texts. We evaluate the …...

AbstractWe present a three-part bilingual specialized dictionary Mexican Sign Language-Spanish / Spanish-Mexican Sign Language. This dictionary will be the outcome of a three-years agreement between the Italian “Consiglio Nazionale delle …...

An A-C bilingual dictionary can be inferred by merging A-B and B-C dictionaries using B as pivot. However, polysemous pivot words often produce wrong translation candidates. This paper analyzes two …...

AbstractOne of the main resources used for the task of bilingual lexicon extraction from comparable corpora is : the bilingual dictionary, which is considered as a bridge between two languages. …...

We estimate the parameters of a phrase- based statistical machine translation sys- tem from monolingual corpora instead of a bilingual parallel corpus. We extend exist- ing research on bilingual lexicon …...

Bilingual dictionaries are expensive resources and not many are available when one of the languages is resource-poor. In this paper, we propose algorithms for creation of new reverse bilingual dictionaries …...

We propose a flexible and effective frame- work for extracting a bilingual dictionary from comparable corpora. Our approach is based on a novel combination of topic modeling and word alignment …...

A vast majority of L1 vocabulary acqui- sition occurs through incidental learning during reading (Nation, 2001; Schmitt et al., 2001). We propose a probabilistic ap- proach to generating code-mixed text …...

Translation between varieties of the same language is a widespread reality in the lo- calisation industry. However, monolin- gual statistical machine translation (SMT) is still a solution that has not …...

Cross-lingual text classification is a major challenge in natural language processing, since often training data is available in only one language (target language), but not avail- able for the language …...

We present our ongoing work on large-scale Japanese-Chinese bilingual dictionary con- struction via pivot-based statistical machine translation. We utilize statistical significance pruning to control noisy translation pairs that are induced …...

This article presents a method of training maximum-entropy models to perform lexi- cal selection in a rule-based machine trans- lation system. The training method de- scribed is unsupervised; that is, …...

Mapping word embeddings of different lan- guages into a single space has multiple appli- cations. In order to map from a source space into a target space, a common approach …...

AbstractThe use of machine learning for NLP generally requires resources for training. Tasks performed in a low-resource language usually rely on labeled data in another, typically resource-rich, language. However, there …...

WordNet-like resources are lexical databases with highly relevance information and data which could be exploited in more complex computational linguistics research and applications. The building process requires manual and automatic …...

AbstractCross-lingual word vectors are typically obtained by fitting an orthogonal matrix that maps the entries of a bilingual dictionary from a source to a target vector space. Word vectors, however, …...

AbstractLow-resource language pairs with a paucity of parallel data pose challenges for machine translation in terms of both adequacy and fluency. Data augmentation utilizing a large amount of monolingual data …...

AbstractWe propose a novel geometric approach for learning bilingual mappings given monolingual embeddings and a bilingual dictionary. Our approach decouples the source-to-target language transformation into (a) language-specific rotations on the …...

AbstractAdversarial training has shown impressive success in learning bilingual dictionary without any parallel data by mapping monolingual embeddings to a shared space. However, recent work has shown superior performance for …...

AbstractWords in different languages rarely cover the exact same semantic space. This work characterizes differences in meaning between words across languages using semantic relations that have been used to relate …...

AbstractCognate words, defined as words in different languages which derive from a common etymon, can be useful for language learners, who can leverage the orthographical similarity of cognates to more …...

AbstractIn this paper, we propose a new task of machine translation (MT), which is based on no parallel sentences but can refer to a ground-truth bilingual dictionary. Motivated by the …...

Although some linguists (Rusmali et al., 1985; Crouch, 2009) have fairly attempted to de- fine the morphology and syntax of Minangk- abau, information processing in this language is still absent …...

AbstractSelf-training has proven effective for improving NMT performance by augmenting model training with synthetic parallel data. The common practice is to construct synthetic data based on a randomly sampled subset …...