We describe a system for the CoNLL- 2005 shared task of Semantic Role Labeling. The system implements a two-layer architecture to first identify the arguments and then to label them for each predicate. The components ...
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Automatic acquisition of translation templates is important for MT system to improve its translation quality and its ability of adaptation to new domain. In this paper, translation equivalences are obtained from trans...
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Gaussian Mixture Model (GMM) based speaker verification has been widely used recently. However, little research has been performed using GMMs for actual in-vehicle speaker verification. In this paper, we propose to in...
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Gaussian Mixture Model (GMM) based speaker verification has been widely used recently. However, little research has been performed using GMMs for actual in-vehicle speaker verification. In this paper, we propose to integrate speaker verification and localization techniques for an in-vehicle speech dialog system to locate the desired speaker. The proposed solution is able to locate both desired and undesired speakers who are talking from the same position. This problem cannot be addressed by a simply speaker localization technique only. We demonstrate that using speech data collected in real car environments, the Equal Error rate (EER) performance approaches 0 using gender dependent data, and 2.35% and 13.34% using randomly selected data under idle and city noise environments, respectively.
Due to the complexity and flexibility of natural language, automatic linguistic knowledge acquisition and its application research becomes difficult. In this paper, we present a machine learning method to automaticall...
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This paper presents results concerning the use of visual cues in the perception of Thai tones. The lower part of a female speaker's face was recorded on digital video as she uttered 24 sets of syllabic tokens cove...
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This paper proposes a variation of synchronous grammar based on the formalism of context-free grammar by generalizing the first component of productions that models the source text, named Constraint-based Synchronous ...
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For most English words, dictionaries give various senses: e.g., "bank" can stand for a financial institution, shore, set, etc. Automatic selection of the sense intended in a given text has crucial importance...
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Automatic acquisition of translation templates is important for MT system to improve its translation quality and its ability of adaptation to new domain. In this paper, translation equivalences are obtained from trans...
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Automatic acquisition of translation templates is important for MT system to improve its translation quality and its ability of adaptation to new domain. In this paper, translation equivalences are obtained from translation corresponding trees of bilingual sentence pairs. Error-driven learning method is employed to acquire templates from extracted equivalences. At the same time, optimization method based on automatic translation evaluation is used to clean these templates. Then they are applied to a transfer-based MT system, and "863" dialog corpus in 2003 is used for open test. Experimental results show that the performance of new acquired templates exceeds that of original ones. Combination of new acquired templates and original ones makes 5-gram Nist assessment score of open test corpus improve by 8.11%.
Due to the complexity and flexibility of natural language, automatic linguistic knowledge acquisition and its application research becomes difficult. In this paper, we present a machine learning method to automaticall...
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Due to the complexity and flexibility of natural language, automatic linguistic knowledge acquisition and its application research becomes difficult. In this paper, we present a machine learning method to automatically acquire Chinese linguistic ontology knowledge from typical corpus. This study, first, defined the description frame of Chinese linguistic ontology knowledge, and then, automatically acquired the usage of a Chinese word with its co-occurrence of context in using semantic, pragmatics, syntactic, etc from the corpus, final, the above information and their representation act as Chinese linguistic ontology knowledge bank. We completed two groups of experiments, i.e. documents similarity computing, text reordering for information retrieval. Compared with previous works, the proposed method solves the inferior precision of nature languageprocessing.
Exploiting unannotated natural language data is hard largely because unsupervised parameter estimation is hard. We describe deterministic annealing (Rose et al., 1990) as an appealing alternative to the Expectation-Ma...
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