Sk Planet Co., Ltd.

Eleven Street Co., Ltd.

Young Sook Hwang

Chang Hao Yin

Sang-Bum Kim

Yang Liu

Qun Liu

Hae Chang Rim

Shouxun Lin

Joo Young Lee

Xinyan Xiao

Seong Wook Lee

Dong Hun Shin

Gum Won Hong

Yeon Su Lee

Nam Hee Kang

Zhaopeng Tu

Disclosed herein are a system for content recommendation service, a content recommendation device and a method of operating the same. The system can recommend personalized content directly related with a recommendation target, irrespectively of whether the content consumption history of the recommendation target user is sufficient to analyze the purchase/use pattern or whether there are other users having similar purchase/user pattern with the recommendation target user. As a result, the recommendation reliability can be improved.

System for content recommendation service, content recommendation device and method of operating the same

The present invention relates to the use of a plurality of dependency trees in tree-based statistical machine translation and proposes a dependency forest to effectively process the plurality of dependency trees. The present invention can improve a translation capability by generating a translation rule and a dependency language model by using the dependency forest and applying the generated translation rule and dependency language model when a source language text is converted to a target language text.

Statistical machine translation method using dependency forest

The present invention relates to statistical machine translation, and provides a machine translation device and a machine translation method that acquire a creation probability for a target language from a single corpus while extracting respective conversion probabilities by extracting syntax conversion knowledge and word translation knowledge from a parallel corpus, model a weighted translation model by allowing each of the conversion knowledge and each of the probabilities to learn using a translation model learning device, and generate a target sentence through decoding processes of a syntax converter and a word translator by applying the translation model to a source sentence input in real time, thereby resolving disadvantages of the existing phrase-based SMT and syntax-based SMT and combining advantages thereof.

Machine translation device and machine translation method in which a syntax conversion model and a word translation model are combined

The present disclosure relates to a syntax parsing apparatus based on syntax preprocessing and a method thereof. In specific, the present disclosure parses syntaxes that can be parsed by rules and patterns without ambiguity by syntax parsing preprocessing, draws all possible syntax parsing results by applying syntax rules based on a result of syntax parsing preprocessing in which ambiguity is partially resolved, and resolves structural ambiguity by applying a statistic syntax parsing model learned from a syntax tree attachment learning corpus so as to reduce ambiguity in rule-based syntax parsing and to resolve ambiguity by a statistics-based scheme so that parsing correctness and processing efficiency in a syntax parsing method can be enhanced.

Syntax parsing apparatus based on syntax preprocessing and method thereof

An apparatus and a method for constructing a verb phrase translation pattern using a bilingual parallel corpus. Each of the apparatus or method recognizes a predicate and an argument using a syntax analysis result and a word alignment result of a source sentence from a plurality of bilingual parallel corpus, extracts a translation pattern candidate and an occurrence frequency using the recognized predicate and argument, and then generates a basic verb phrase translation pattern by verifying the translation pattern candidate, and generalizes the generated basic verb phrase translation pattern to generate a general verb phrase pattern so as to be applied to various language pairs and minimize an error in the verb phrase translation pattern and determine an appropriate generalization level using a co-occurrence frequency of a predicate and an argument of the verb phrase translation pattern and a translation probability of the predicate.

Apparatus and method for constructing verbal phrase translation pattern using bilingual parallel corpus

Disclosed are a joint decoding apparatus and a joint decoding method that joins a tokenization process and a translation process. More particularly, the present disclosure can generate all available candidate tokens, reduce translation errors, and obtain an optimal translation result by jointly conducting a decoding by simultaneously conducting the tokenization process and the translation process for an input character sequence while decoding.

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Seoul, South Korea

Young Sook Hwang