Báo cáo khoa học: "Improving Domain-Specific Word Alignment for Computer Assisted Translation" potx

Báo cáo khoa học: "Diagnostic Processing of Japanese for Computer-Assisted Second Language Learning" doc

Báo cáo khoa học: "Diagnostic Processing of Japanese for Computer-Assisted Second Language Learning" doc

... generate2 is called. • If a link word is found, an autonomous word is searched for whose root node can be unified with the left ( substitution )nodeofthelink word. Letting the word s root and the terminal ... modi- fying the head word. And such a phrase in its turn can semantically modify an autonomous word by way of attaching a connective to it’s right, forming a phrase, or inflecti...

Ngày tải lên: 08/03/2014, 05:20

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Tài liệu Báo cáo khoa học: "Yet Another Word Alignment Tool" docx

Tài liệu Báo cáo khoa học: "Yet Another Word Alignment Tool" docx

... tool for creating word alignments, one design objective was to minimize mouse travel required to align words. The inter- face therefore has no ‘link words’ button but uses mouse clicks on words ... visualization and ma- nipulation of word- and phrase-level alignments of parallel text. Unlike most other tools for manual word alignment, it relies on dynamic markup to visualize alignm...

Ngày tải lên: 20/02/2014, 09:20

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Tài liệu Báo cáo khoa học: "Guiding Statistical Word Alignment Models With Prior Knowledge" pdf

Tài liệu Báo cáo khoa học: "Guiding Statistical Word Alignment Models With Prior Knowledge" pdf

... candidate. This information is de- rived before word alignment model training and will act as soft constraints that need to be respected dur- ing training and alignments. For a given word pair, the ... source words as rows and target words as columns and uses statis- tics from word alignment training to form word pair co-occurrence association. More specifically, we regard each t...

Ngày tải lên: 20/02/2014, 12:20

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Báo cáo khoa học: "Boosting Statistical Word Alignment Using Labeled and Unlabeled Data" ppt

Báo cáo khoa học: "Boosting Statistical Word Alignment Using Labeled and Unlabeled Data" ppt

... methods for word alignment. In addition, we improve the word alignment results by combining the results of the two semi-supervised boost- ing methods. Experimental results on word alignment ... get the word alignment results shown in table 2. For all of the methods in this table, we perform bi-directional (source to target and target to source) word alignment, and obt...

Ngày tải lên: 08/03/2014, 02:21

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Tài liệu Báo cáo khoa học: "Learning Sub-Word Units for Open Vocabulary Speech Recognition" doc

Tài liệu Báo cáo khoa học: "Learning Sub-Word Units for Open Vocabulary Speech Recognition" doc

... recognize words beyond their vocab- ulary, many of which are information rich terms, like named entities or foreign words. Hybrid word/ sub -word systems solve this problem by adding sub -word units ... coherence. Hybrid word/ sub -word recognizers can produce a sequence of sub -word units in place of OOV words. Ideally, the recognizer outputs a complete word for in-vocabulary (IV)...

Ngày tải lên: 20/02/2014, 04:20

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Tài liệu Báo cáo khoa học: "Improving Automatic Speech Recognition for Lectures through Transformation-based Rules Learned from Minimal Data" ppt

Tài liệu Báo cáo khoa học: "Improving Automatic Speech Recognition for Lectures through Transformation-based Rules Learned from Minimal Data" ppt

... data. the 100K -word CMU pronunciation dictionary. For all models, we allowed one non-dictionary word per utterance, but only for lines longer than four words. For allowable non-dictionary words, SONIC’s ... to every mismatch- ing word sequence between the utterance-aligned manual and ASR transcripts. For every mismatching sequence of words, a set 766 ⋄ for every sequence of wo...

Ngày tải lên: 20/02/2014, 07:20

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Tài liệu Báo cáo khoa học: "Incremental Syntactic Language Models for Phrase-based Translation" pptx

Tài liệu Báo cáo khoa học: "Incremental Syntactic Language Models for Phrase-based Translation" pptx

... more than one word, this process is first carried out for the first new word in the hypothe- sis. It is then repeated for the remaining words in the hypothesis extension. Once the final word in the ... lat- tice nodes represent multi -word target language phrases. For such translation lattice nodes, δ will be called once for each newly hypothesized target language word in the nod...

Ngày tải lên: 20/02/2014, 04:20

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Tài liệu Báo cáo khoa học: "A Localized Prediction Model for Statistical Machine Translation" ppt

Tài liệu Báo cáo khoa học: "A Localized Prediction Model for Statistical Machine Translation" ppt

... length. Single source and target words are denoted by and respectively, where and . We will also use a special single -word block set which contains only blocks for which . For the experiments in this ... is defined for each event in the list . The average size of is successor blocks. If we were to compute a Viterbi block alignment for a training sentence pair, each block in this bl...

Ngày tải lên: 20/02/2014, 15:20

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Tài liệu Báo cáo khoa học: "Refined Lexicon Models for Statistical Machine Translation using a Maximum Entropy Approach" pptx

Tài liệu Báo cáo khoa học: "Refined Lexicon Models for Statistical Machine Translation using a Maximum Entropy Approach" pptx

... corpus. This additional information could be: Simple context information: information of the words surrounding the word pair; Syntactic information: part-of-speech in- formation, syntactic constituent, ... position . The alignment may contain align- ments with the ‘empty’ word to ac- count for source words that are not aligned to any target word. In (statistical) alignment models ,...

Ngày tải lên: 20/02/2014, 18:20

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