input sentence
Splitting Input Sentence for Machine Translation Using Language Model with Sentence Similarity
... an input sen- tence appears ...using sentence similarity based on ...for sentence splitting based on N-grams, and select the best one by measuring sentence ...a sentence as a ...
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Chinese Segmentation with a Word Based Perceptron Algorithm
... empty sentence and the target agenda is ...the input sentence, combines it with each candidate in the source agenda and puts the generated candidates onto the target ...
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English to Hindi system description for WMT 2014: Deep Source Context Features for Moses
... the input sentence and all training sen- ...the sentence from which the source and target phrases were ...current sentence to be translated and to penalize those translation units that have ...
5
SMT Errors Requiring Grammatical Knowledge for Prevention
... an input sentence with a negation- implying adverb is short and in the present tense, and the predicate is not a be verb, the SMT sys- tem in question generates an output with the neg- ative form of the ...
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Syntax based Alignment of Multiple Translations: Extracting Paraphrases and Generating New Sentences
... In our current implementation, a pair of synonyms can not stop an otherwise legitimate merging, but it’s possi- ble to extend our keyword checking process with the help of lexical resources such as WordNet in future ...
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An Efficient and Effective Online Sentence Segmenter for Simultaneous Interpretation
... partial input doesn’t exist in phrase tables, segmentation boundaries are generated; in the second, if the right probability of reordering is less than a predefined threshold, segmentation boundaries are ...
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Extended Named Entity Recognition API and Its Applications in Language Education
... Existing NER systems often use Conditinal Ran- dom Fields (CRFs) (McCallum and Li, 2003; Finkel et al., 2005), HMM (Zhou and Su, 2002) or SVM (Yamada et al., 2002; Takeuchi and Col- lier, 2002; Sasano and Kurohashi, ...
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Putting it Simply: a Context Aware Approach to Lexical Simplification
... the sentence with a differ- ent sense than the one originally considered when creating the simplification ...the sentence and the rule are about the same ...
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English to Sanskrit Translator and Synthesizer (ETSTS)
... the input sentence is grammatically correct or ...the sentence and on the basis of the rules the assessment is ...the sentence former to give the output in a structurally correct ...
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Linguistic Knowledge Acquisition from Parsing Failures
... When a parser fails to analyse an input sentence, a robust parser hypothesizes possible errors in the input in order to complete the analysis and correct errors [Douglas and Dale, 1992]:[r] ...
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A PROPOSED ENGLISH TO AMERICAN SIGN LANGUAGE TRANSLATION SYSTEM
... each input sentence, Algorithm (5) have been applied two ...English sentence in the corpus to the input English ...ASL sentence in the corpus to the output ASL sentence that has ...
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Massively Parallel Suffix Array Queries and On Demand Phrase Extraction for Statistical Machine Translation Using GPUs
... Given sufficient resources, we would ideally par- allelize the phrase table creation process for each occurrence of the matched source substring. How- ever, the typical number of source substring matches for an ...
10
Guiding Neural Machine Translation with Retrieved Translation Pieces
... put sentence based on word-level alignments and sentence ...this input sentence and give an additional bonus to outputs that contain the collected translation ...
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GRAPH PATTERN MATCHING IN YEAST DATASET
... Since there is no existence of standard ASL grammar for free evaluation and comparing with the proposed system, the method for evaluating the proposed grammar will be available for future comparisons and evaluation ...
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An Efficient Recursive Transition Network Parser for Arabic Language
... A top-down parser starts with the S symbol and attempts to rewrite it into a sequence of terminal symbols that matches the classes of the word in the input sentence. The state of the parse at any given time ...
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WORD SENSE DISAMBIGUATION USING FUZZY SEMANTIC-BASED STRING SIMILARITY MODEL
... The input sentence is labelled as ‘d’, where it needs to be pre-processed before it proceeds to chunk every useful word that will give meaning to the ...an input sentence after eliminating all ...
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Solving the Problem of Cascading Errors: Approximate Bayesian Inference for Linguistic Annotation Pipelines
... Most current systems for higher-level, aggre- gate NLP tasks employ a simple 1-best feed for- ward architecture: they greedily take the best out- put at each stage in the pipeline and pass it on to the next stage. This ...
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AELA-DLSTMs: Attention-enabled and location-aware double LSTMs for aspect-level sentiment classification
... we believe that taking the aspect word as the last hidden state can put more emphasis on the aspect words and make better use of the semantic information of the aspect word. It is difficult to find a common context range ...
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Integrating surprisal and uncertain input models in online sentence comprehension: formal techniques and empirical results
... which are closed under intersection with WFSAs; a constructive procedure exists for finding the inter- section (Bar-Hillel et al., 1964; Nederhof and Satta, 2003). Hence we are left with finding the partition function of ...
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Rule Based Approach for English to Sanskrit Machine Translation and Synthesizer System
... • Find translation of all English words in to Sanskrit dictionary Rearrange the words in Sanskrit using its grammar rule to format and a meaningful statement. Parser Generator Module contains a set of transducers built ...
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