4 students maintenance of the taught strategies in independent vocabulary learning
Promoting learner autonomy in learning vocabulary for second-year students at Hai Phong Medical University = Phát huy tính tự chủ trong việc học từ vựng cho sin
... question 4: Students maintenance of the taught strategies in independent vocabulary learning Based on the holistic rubric, each vocabulary- learning diary was given three marks indicating the maintenance ... encounter in their independent vocabulary learning? How well the students use the taught strategies in their guided vocabulary practice? How much the students use the taught strategies in their guided ... guided vocabulary practice? To what extent the students maintain the taught strategies in their independent vocabulary learning? How effective is the strategy training programme in helping the students...
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FOCUS ON - pronunciation of three-word phrasal verbs
... out pointed out pointed out point out p.v When you bring things or people to someone's attention or indicate the location of things or people with your hand or index finger, you point them out ... lying again, and let out a sigh The lion let out a loud roar before he attacked the hunter Infinitive present tense point out point out & points out -ing form past tense past participle pointing ... separate the parts of something, you take it apart Take apart is the opposite of put together I had to take my bike apart when I moved The mechanic took the engine apart take in take in & takes in...
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FOCUS ON - three-word phrasal verbs
... used in the continuous tense (also called the progressive tense) using the -ing form of the verb (also called the present participle) and a form of be: The principal told me you'd been cheating ... start planning for retirement point to point to & points to pointing to pointed to pointed to point to p.v When you indicate people or things with your hand or a finger, you point to them When ... doing? In Question 7, how would you describe the book after I give the money to the cashier? The people in the meeting are concluding the meeting What are they doing? 10 When Rosa was in New...
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three-word phrasal verbs
... used in the continuous tense (also called the progressive tense) using the -ing form of the verb (also called the present participle) and a form of be: The principal told me you'd been cheating ... start planning for retirement point to point to & points to pointing to pointed to pointed to point to p.v When you indicate people or things with your hand or a finger, you point to them When ... doing? In Question 7, how would you describe the book after I give the money to the cashier? The people in the meeting are concluding the meeting What are they doing? 10 When Rosa was in New...
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Learning express Goof Proof Spelling - WORD BASICS
... ADJECTIVE ENDINGS SUFFIX MEANING EXAMPLE -able -ian capable, able one who is or does -ic -ile -ious -ive -less causing, making pertaining to having the quality of having the nature of without perishable, ... placed at the end of a word A suffix will often signify how the word is being used and its part of speech Common roots, prefixes, and suffixes are outlined in the following tables Use these tables ... Stealing was antethetical / antithetical to her beliefs He felt constant pain in his arm after hypoextending / hyperextending his elbow The meteorologist called for intermittent / intramittent rain...
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Tài liệu Báo cáo khoa học: "Word representations: A simple and general method for semi-supervised learning" doc
... training fast, testing is still expensive when the size of the vocabulary is large Instead of cross-validating using the log-rank over the validation data as they do, we instead used the moving ... epochs One of the difficulties in inducing these embeddings is that there is no stopping criterion defined, and that the quality of the embeddings can keep improving as training continues Collobert ... especially at the beginning of training For this reason, we hypothesize that learning representations over the most frequent words first and gradually increasing the vocabulary a curriculum training strategy...
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Tài liệu Báo cáo khoa học: "Learning Word-Class Lattices for Definition and Hypernym Extraction" doc
... corpus of the English language constructed by crawling the uk domain of the Web The subset includes over 300,000 sentences in which occur any of 239 terms selected from the terminology of four ... extraction of definitions in portuguese: A rulebased approach In Proceedings of the TeMa Workshop Marti Hearst 1992 Automatic acquisition of hyponyms from large text corpora In Proceedings of the 14th International ... Computing Surveys, 41 (2):1–69 Michael P Oakes 2005 Using hearst’s rules for the automatic acquisition of hyponyms for mining a pharmaceutical corpus In Proceedings of the Workshop Text Mining Research...
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Tài liệu Báo cáo khoa học: "Learning Word Vectors for Sentiment Analysis" ppt
... for large linear classification The Journal of Machine Learning Research, 9:1871–18 74, August J R Finkel and C D Manning 2009 Joint parsing and named entity recognition In Proceedings of NAACL, ... movie in the dataset Of 40 6 movies with multiple reviews, 249 have the same polarity label for all of their reviews Overall, these facts suggest that, relative to the size of the dataset, there ... the scaling direction of θ This idea is similar to the word vector inner product used in the log-bilinear language model of Mnih and Hinton (2007) Equation resembles the probabilistic model of...
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Tài liệu Báo cáo khoa học: "Learning Sub-Word Units for Open Vocabulary Speech Recognition" doc
... Glass 2001 Learning units for domain -independent out -of- vocabulary word modeling In EuroSpeech Issam Bazzi 2002 Modelling out -of- vocabulary words for robust speech recognition Ph.D thesis, Massachusetts ... segmentation of the corpus 3.2 Efficient Sampling scoring the segmentation’s features This weight is the negative log probability of the resulting model after adding the corresponding features ... detector training set is different from the LVCSR training set We also use a hybrid LVCSR system, combining word and sub-word units obtained from either our approach or a state -of- the- art baseline approach...
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Tài liệu Báo cáo khoa học: "Learning Word Senses With Feature Selection and Order Identification Capabilities" pdf
... Unsupervised Learning Proc of the 17th Int Conf on Machine Learning( pp 247 –2 54) Fukumoto, F., & Suzuki, Y (1999) Word Sense Disambiguation in Untagged Text Based on Term Weight Learning Proc of the 9th ... 25 Interest dataset all 0.6 0.55 Accuracy 0.5 54 0 .40 4 0 .40 7 0 .40 9 0.513 0.512 0.508 0.512 0 .45 1 0 .43 7 0 .44 7 0.502 0 .49 8 0 .48 5 Accuracy Average accuracy Accuracy Feature weighting method binary ... 1 24 138 140 32 84 128 163 192 20 85 1 64 225 244 MI ×10−2 8.1070 0 .48 32 0.17 74 0.1259 0.1269 2.7051 0.8309 0. 349 5 0.2982 0.2699 4. 4606 0.7816 0.2929 0.2181 0.1630 7.0021 0. 842 2 0. 341 8 0.27 34 0.2309...
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Báo cáo khoa học: "Dealing with Spurious Ambiguity in Learning ITG-based Word Alignment" pdf
... In HLTNAACL Shujie Liu, Chi-Ho Li, and Ming Zhou 2010 Discriminative pruning for discriminative itg alignment In Proceedings of the 48 th Annual Meeting of the Association for Computational Linguistics, ... demonstrating that spurious ambiguity has a negative impact on discriminative learning We will continue working on this line of research and improve our discriminative learning model in the future, ... highly affected the nbest list here, resulting in a less accurate training Actually, the 20-best parsing using HaG only generated 4. 53 different alignments on average 20-best training using LGFN converged...
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Báo cáo khoa học: "Unsupervised Learning of Acoustic Sub-word Units" pot
... by a 4- way split of a single state, a 3-way split of one state and 2-way of another, or a 2-way split of three distinct states; all of them are explored in the process of merging from 4N = 24 down ... to learn the HMM, but still labeling and using all 24 minutes to build the label-to-phone transducer, and (ii) setting aside minutes of training speech to learn the transducer and using the rest ... speech 4. 3 24 24 71 .4% 84. 4% 87.2% Inspecting the Learnt Sub-word Units The most frequent 3-, 4- and 5-state sequences in the automatically labeled speech consistently matched particular phones in...
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Báo cáo khoa học: "Learning Expressive Models for Word Sense Disambiguation" pot
... the sense repository was defined as the set of all the possible translations of that verb in the corpus 80% of the corpus was randomly selected and used for training, with the remainder retained ... Results are compared against the accuracy that would be obtained by using the most frequent translation in the training set to classify all the examples of the test set (in the column labeled “Majority ... has_related_pair(snt1, there, be) … KS8 The sense with the highest count of overlapping words in its dictionary definition and in the sentence containing the target verb (excluding stop words) (Lesk,...
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Báo cáo khoa học: "Domain Adaptation with Active Learning for Word Sense Disambiguation" pdf
... predominant sense is often indicative of a change in domain For example, the predominant sense of the noun interest in the BC part of the DSO corpus has the meaning “a sense of concern with and ... priors in the new domain Performance of domain adaptation using active learning and count-merging is then presented Next, we show that by using the predominant sense of the target domain as predicted ... further improved the effectiveness of the adaptation process by using the predicted predominant sense of the new domain and adopting the count-merging technique Related Work In applying active learning...
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Báo cáo khoa học: " Word Sense Disambiguation in Untagged Text based on Term Weight Learning" ppt
... of the nouns, the meaning of the verb within the sentence can be determined accordingly, because a set of the nouns characterises one of the possible senses of the verb The basic assumption of ... 9 34 263(82.7) 49 7 41 4(83 .4) 590 47 0 208(77.9) 198 159(80.8) 21(9.0) (22) {complete, end, develop, fill} (23) {gain, win, get, increase} 199 (41 .0) 107(29.3) 242 (66.3) 16 (4. 4) 47 ( 14. 0) 365 3 34 ... usages of take (in Figure 1) (we call them hypothetical verbs in the following) The decomposition of a vector into a set of its component vectors requires a proper decomposition of the context in...
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Báo cáo khoa học: "Transfer Learning, Feature Selection and Word Sense Disambguation" doc
... (the “foreground”) and puts all the remaining word senses in the “background” The parameters that it takes as input are the % of data points to put in “background” (i.e., what would be the singleton ... selection minimize a score: SM = lf + lθ where lf is the cost to code the index of the feature and lθ is the number of bits required to code the coefficient of the selected feature In our baseline feature ... length of the MDL (Minimum Description Length) message is composed of two parts: SE , the number of bits for encoding the residual errors given the models and SM , the number of bits for encoding the...
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Báo cáo khoa học: "Robust Word Sense Translation by EM Learning of Frame Semantics" docx
... currently carrying out further work in the aspects of (1) improving the accuracy of source word frame identification and (2) incorporating bilingual frame semantics in a full fledged 245 machine translation ... suffers The main advantage of our algorithm over our work in 20 04 lies in the hill-climbing iterations of the EM algorithm In the proposed algorithm, all concept classes are mapped with a certain ... and each concept contains fields including lexical entries in Chinese, English gloss, POS tags for the word in Chinese and English, and a definition of the concept including its category and semantic...
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Báo cáo khoa học: "An Empirical Study of Active Learning with Support Vector Machines for Japanese Word Segmentation" pptx
... added to the primary pool and ặ is the number of examples including both labeled examples in the training set and unlabeled ones in the primary pool The ặ must be less than the percentage of support ... information extraction In Proceedings of the Sixteenth International Conference on Machine Learning, pages 40 641 4 Simon Tong and Daphne Koller 2000 Support vector machine active learning with applications ... inductive -learning approach In Proceedings of the Second International Conference on New Methods in Natural Language Processing, pages 7989 Vladimir N Vapnik 1995 The Nature of Statistical Learning Theory...
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Báo cáo khoa học: "Fast Online Training with Frequency-Adaptive Learning Rates for Chinese Word Segmentation and New Word Detection" docx
... refined learning rates than the SGD training Instead of using a single learning rate (a scalar) for all weights, we extend the learning rate scalar to a learning rate vector, which has the same ... 94. 4 94. 8 94. 8 95.0 95.5 95.8 95.8 Rec 95.9 97.0 96.9 97.2 93.9 94. 5 94. 5 94. 7 94. 0 94. 9 94. 9 94. 9 CWS F-score 96.1 97.1 97.2 97 .4 93.9 94. 4 94. 7 94. 8 94. 5 95.2 95.3 95 .4 Table 2: Incremental ... training methods with our proposed training method To compare with existing methods, we chose two popular training methods, a batch training one and an online training one The batch training...
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Báo cáo khoa học: "A Combination of Active Learning and Semi-supervised Learning Starting with Positive and Unlabeled Examples for Word Sense Disambiguation: An Empirical Study on Japanese Web Search Query" pdf
... negative training dataset to build the refined classifier ΓEM (Figure line 17) In building training dataset by active learning, we use uncertainty sampling like (Chan and Ng, 2007) (Figure line 30-31) ... Average active learning process Table shows the ambiguous words, the number of its senses, the number of its data instances, the number of feature, and the percentage of positive sense instances for ... future issue The accuracy of the proposed approach withEM is gradually increasing according to the percentage of added hand labeled examples The initial accuracy of with-EM, which means the accuracy...
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