Bilingual corpora play an important role as resources not only for machine translation research and development but also for studying tasks in comparative linguistics. Manual annotation of word alignments is of significance to provide a gold-standard for developing and evaluating machine translation models and comparative linguistics tasks. This paper presents research on building an English-Vi...

The paper describes an innovative approach to expanding the domain coverage of wordnet by exploiting multiple resources. In the experiment described here we are using a large monolingual Slovene corpus of texts from the domain of informatics to harvest terminology from, and a parallel English-Slovene corpus and an online dictionary as bilingual resources to facilitate the mapping of terms to th...

Bilingual corpora play an important role as resources not only for machine translation research and development but also for studying tasks in comparative linguistics. Manual annotation of word alignments is of significance to provide a gold-standard for developing and evaluating machine translation models and comparative linguistics tasks. This paper presents research on building an English-Vi...

This paper presents an automated supervised method for Persian wordnet construction. Using a Persian corpus and a bi-lingual dictionary, the initial links between Persian words and Princeton WordNet synsets have been generated. These links will be discriminated later as correct or incorrect by employing seven features in a trained classification system. The whole method is just a classification...

We present an approach using treebanks in machine translation. Our experiment in Czech-English machine translation is an attempt to develop a full machine translation system based on dependency trees (Dependency Based Machine Translation, DBMT). We use the following resources: Prague Dependency Treebank, a newly created Czech-English parallel corpus of Penn Treebank, English monolingual corpus,...

After three years of work the Dutch Parallel Corpus (DPC) project has reached an end. The finalized corpus is a ten-million-word high-quality sentence-aligned bidirectional parallel corpus of Dutch, English and French, with Dutch as central language. In this paper we present the corpus and try to formulate some basic data collection principles, based on the work that was carried out for the pro...

Firstly, Lidun Hareide and Knut Hofland describe through practical advice the compilation process of The Norwegian Spanish Parallel Corpus (NSPC) created at the University of Bergen (Norway), as well as preliminary findings from ongoing and planned research based on it. The corpus is primarily constructed for research in Translation Studies, and is built to be roughly comparable to the Spanish-...

Automatically building a large bilingual corpus that contains millions of words is always a challenging task. In particular in case of low-resource languages, it is difficult to find an existing parallel corpus which is large enough for building a real statistical machine translation. However, comparable non-parallel corpora are richly available in the Internet environment, such as in Wikipedia...

This paper presents an unsupervised method for extracting parallel sentence pairs from a comparable corpus. A translation system is used to mine the comparable corpus and to detect parallel sentence pairs. An iterative process is implemented not only to increase the number of extracted parallel sentence pairs but also to improve the overall quality of the translation system. A comparison betwee...

This paper details the author’s plans for and progress with compiling and analyzing a new gigaword English corpus from the web to complement his BNC-based online database “Phrases in English”. This new corpus represents the principal English-speaking countries in proportion to their population and will be linguistically annotated with the CLAWS4 tagger using a PoS-tagset comparable to those of ...