LREC
2010
13 years 6 months ago
2010
This paper proposes a simple and fast person-name filter, which plays an important role in automatic compilation of a large bilingual person-name lexicon. This filter is based on ...
LREC
2010
13 years 6 months ago
2010
In this paper we will present work carried out to scale up the system for text understanding called GETARUNS, and port it to be used in dialogue understanding. The current goal is...
LREC
2010
13 years 6 months ago
2010
This paper aims at measuring the reliability of judges in MT evaluation. The scope is two evaluation campaigns from the CESTA project, during which human evaluations were carried ...
LREC
2010
13 years 6 months ago
2010
This paper describes the Language Technology Resource Center (LTRC), a U.S. Government website for providing information and tools for users of languages (e.g., translators, analy...
LREC
2010
13 years 6 months ago
2010
After several years of development, the vision of the Semantic Web is gradually becoming reality. Large data repositories have been created and offer semantic information in a mac...
LREC
2010
13 years 6 months ago
2010
In this paper, we describe our hybrid parsing model on Mandarin Chinese processing. The model combines the mainstream constitute and dependency parsing and the dataset we use it t...
LREC
2010
13 years 6 months ago
2010
This paper describes an approach for inferring syntactic frames of verbs in Urdu from an untagged corpus. Urdu, like many other South Asian languages, is a free word order and cas...
LREC
2010
13 years 6 months ago
2010
In this paper we present AhoTransf, a tool that enables analysis, visualization, modification and synthesis of speech. AhoTransf integrates a speech signal analysis model with a g...
LREC
2010
13 years 6 months ago
2010
The paper introduces the Multimodal Russian Corpus (MURCO), which has been created in the framework of the Russian National Corpus (RNC). The MURCO provides the users with the gre...
LREC
2010
13 years 6 months ago
2010
WikiWoods is an ongoing initiative to provide rich syntacto-semantic annotations for English Wikipedia. We sketch an automated processing pipeline to extract relevant textual cont...