single word
Chinese Grammatical Error Diagnosis Using Single Word Embedding
... traditional word-based embedding (Mikolov et al., 2013), single word embedding was used as input of CNN and LSTM, which is similar to character-level embedding in ...proposed single ...
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Single-word comprehension deficits in the nonfluent variant of primary progressive aphasia
... AAT single-word comprehension task were taken from the Small World of Words Project ...a word was calculated by multiplying the relative frequency with the frequency retrieved from the SUBTLEX-NL ...
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Identification of phonological processes in preschool children's single-word productions
... The present investigators were given permission from the original authors to update picture stimuli from the original Metaphon Screening Assessment (Dean ,2006, personal correspondence) as the pictorial stimuli were ...
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A Single Word is not Enough: Ranking Multiword Expressions Using Distributional Semantics
... with single word ...neighboring word between all (single and multiword) ...with single words, a high unique- ness score is given to multiwords that belong to a category just as ...
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Age of Acquisition Effect: Evidence From Single-Word Reading and Neural Networks
... Methods: the first part of the current study, 25 primary school students in the 5th grade read the word groups learned initially during a previous grade. The words used in the experiments were 327 Farsi ...
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Single word production in English: The role of subsyllabic units during phonological encoding
... Further- more, because CVC targets were named faster when pre- ceded by CVC primes as compared with CV primes (Experiment 1) or neutral primes (Experiment 3), the resu[r] ...
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Lexical stress encoding in single word production estimated by event-related brain potentials
... target word form and then “ scan ” it in some sort of buffer before articulation for the target stress ...the word, that is, initial phonemes were detected faster than final phonemes (see ...the ...
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Towards Single Word Lexical Complexity Prediction
... most word lists are compiled based on lem-grams ...a word plus its part-of-speech), and not on ...the word to the top of the frequency ...example word, arbeta ‘to ...
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Mapping the predictors of single word recognition:a research synthesis
... • I2 reflects how much variation would remain if sampling error was removed Borenstein, 2017 • Points at 0 are interaction effect I2 values • Greater proportion of effect sizes are in th[r] ...
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Field Evaluation of a Single-Word Pronunciation Training System
... (1) find all students who have done at least one test cycle and has started on the second cycle; (2) find a sequence of at least 25 words which have been pronounced at least twice, preferably with a test cycle interval ...
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A Fast Decoder for Joint Word Segmentation and POS Tagging Using a Single Discriminative Model
... naive single-beam decoder which treats partial words in the same way as full words failed to give a competitive accu- ...a single word. Rather, when treated as two single- character words, ...
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Single and multi-word unit vocabulary in university tutorials and laboratories: Evidence from corpora and textbooks
... (both single word and multi-word ...8000 word families plus proper nouns and marginal words (such as um and ah) is needed to reach 95% and 98% coverage of lecturers and seminars in English, ...
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Using Bilingual Segments in Generating Word to word Translations
... Some of the French suffixes ‘´e’, ‘´ee’, ‘´es’, ‘´ees’, ‘u’, ‘ue’ (and others) were wrongly paired with ‘ou’, ‘aram’, ‘eu’, ‘eram’, ‘iu’, ‘iram’ in PT. Generally, these past participle French forms need an auxiliary verb ...
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Bootstrapping Word Alignment via Word Packing
... The initial word alignments are obtained using the baseline configuration described above. From these, we build two bilingual 1-to-n dictionaries (one for each direction), and the training corpus is updated by ...
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Word Maturity: Computational Modeling of Word Knowledge
... of word meanings from natural language (as can be evidenced by a broad range of applications from synonym tests to automated essay grading), at rates that resemble those of human learners (Laundauer et al, ...
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Word for Word Glossing with Contextually Similar Words
... In Section 3, we presented an algorithm for identifying the contextually similar words of a word in a context using a corpus-based thesaurus and a collocation database.. Each o f the six[r] ...
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Investigating the effects of word pairs on word knowledge
... gaining word knowledge. Word pairs are one of ...that word pairs can be fast and efficient methods in acquiring L2 vocabulary (Waring, 1997, Webb, 2002, Webb, ...of word pairs in L2 vocabulary ...
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Multi Word Expression Sensitive Word Alignment
... into word alignment, 1 which is in a similar manner to Graca et ...anchor word alignment ...modified word alignment which incorporates the groupings of BMWEs and enforces their alignment links; we ...
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Word Node2Vec: Improving Word Embedding with Document Level Non Local Word Co occurrences
... Standard word embedding algorithms, such as word2vec and Glove, make a restric- tive assumption that words are likely to be semantically related only if they co-occur lo- cally within a window of fixed ...
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Improving Word Alignment using Word Similarity
... The results in Table 3 suggest that our modeling approach produces better word alignments. We found that our models not only learned smoother translation models for low frequency words but also ranked the ...
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