... national language policy currently in place in Botswana, is that Setswana is the national language of the country (Republic of Botswana 1985:8). So, despite the existence of other local languages, ... parts of the world, education is for the most part the preserve of the few (elites). The choice of which language or dialect to use to teach (medium of instruction) reflects the interests of those ... second and even third languages are added to the learners’ repertoire of language systems whilst sustaining the primary language through the schooling process instead of subtractive bilingualism...
... out of many types of accuracy work) has an important place in language teaching, not to teach language points but to raise their noticeability in the minds of the students. As a matter of note, ... approach, more an attitude of mind, based on the idea of an immersive bath of communication from which useful language focus then arises – if we simply set our students off in authentic communicative ... and successful language schools. 1960s – 1970s (USA): Audio-lingual method + Structuralist view oflanguage A ‘scientificised’ version of the direct method; the new science of linguistics...
... of a variety of language models trained from text or speech corpora of vari-ous genres and sizes. The largest available language models are based on written text: we investigate theeffect of ... transcripts of speech which contain disfluencies, we studythe effect oflanguage model and loss func-tion on the performance of a linear rerankerthat rescores the 25-best output of a noisy-channel ... held-out trainingdata instead of test data. We used the held-out datato select the best-performing set of reranker features,which consisted of features for all of the language models plus the extended...
... rela- tively late, child language consists of the output of more than one grammar. 3Although different theories of grammar, e.g. GB, HPSG, LFG, TAG, have different ways of instantiating this ... population of grammars Learning, including language acquisition, can be characterized as a sequence of states in which the learner moves from one state to another. Transfor- mational models oflanguage ... ignored in the for- mal studies oflanguage acquisition. In the rest of this section, I show that if this condition is taken se- riously, previous models oflanguage acquisition have difficulties...
... systemconsists of acoustic models of speech sounds and of a statistical language model (LM). The LMlearns the probabilities of word sequences fromtext corpora available for training. The perfor-mance of ... Proceedings of the 12th Conference of the European Chapter of the ACL, pages 157–165,Athens, Greece, 30 March – 3 April 2009.c2009 Association for Computational LinguisticsWeb augmentation oflanguage ... afford from the top of the list. However, therelevance of a query is dependent on the sequence of past queries (because of the decay factor). Find-ing the optimal order of the queries takes...
... intersection of two matriciblelanguages is again a matricible language. Proof. This is a direct consequence of the con-siderations in Section 6 together with the observa-tion, that the new set of acceptance ... (non-context-free) language {ambmcm| m > 0}.The following properties of matrix grammarsand matricible language are straightforward.Proposition 2 All languages characterized by aset of linear ... a vector v of numerical values; one might, e.g., think of thelevel of excitation of neurons. Then, an externalstimulus or signal, such as a perceived word, willresult in a change of the mental...
... according to a language model trained on I, of a text segment s drawn fromN. Let HN(s) be the per-word cross-entropy of saccording to a language model trained on a ran-dom sample of N. We partition ... LinguisticsIntelligent Selection ofLanguage Model Training DataRobert C. Moore William LewisMicrosoft ResearchRedmond, WA 98052, USA{bobmoore,wilewis}@microsoft.comAbstractWe address the problem of selecting ... selecting a subset of the available data as language model training data. This not only pro-duces a language model better matched to the do-main of interest (as measured in terms of perplex-ity...
... parametric language systems. Proceedings of the Fifth Meeting on Mathematics of Language. Bertolo, S., Broihier, K., Gibson, E., and Wexler, K. (1997b) Cue-based learners in parametric language ... for investigators interested in computational models of natural language acquisition. 2 The Language Domain Database The focus of the language domain database, (hereafter LDD), is to make ... Briscoe, T. (2000). Grammatical acquisition: Inductive bias and coevolution oflanguage and the language acquisition device. Language, 76 (2), 245-296. Chomsky, N. (1981) Lectures on Government and...
... is more useful than the naive word sequences of n-gram, for language modeling. We are planning to experiment the perfor- mance of the proposed language model for large corpus, for various ... "Class- Based n-gram Models of Natural Language& quot;. Computational Linguistics, 18(4):467-480. C. Chang and C. Chen. 1996. "Application Is- sues of SA-class Bigram Language Models". ... Acquisi- tion ofLanguage Models for Speech Recog- nition". Master's thesis, Massachusetts Insti- tute of Technology. M. Meteer and J.R. Rohlicek. 1993. "Statis- tical Language...
... purpose of speech recognition, is represented by a sequence of acoustic patterns each consisting of a set of measurements taken on a small portion of signal (generally on the order of 10 reset). ... utterance of fixed length the complexity is linear with the number of distinct acoustic states. Since a finite set of phonetic units is used to represent all the words of a language, the number of ... number of distinct phonetic units. Therefore the complexity of the local likelihood computation factor does not depend either on the size of the vocabulary or on the complexity of the language. ...
... origins of structure in human language. Proceedings of the National Academy of Sciences, 105(31):10681–10686.S. Klein, M.A. Kuppin, and K.A. Meives. 1969.Monte Carlo simulation oflanguage ... thestudy oflanguage change. Language and Linguis-tics Compass, 2(3):289–307.G.J. Baxter, R.A. Blythe, W. Croft, and A.J. McK-ane. 2009. Modeling language change: An evalu-ation of Trudgill’s ... Models of Human Language Acquisition,pages 10–19. ACL.P. Niyogi and R.C. Berwick. 1995. The logical prob-lem oflanguage change. AI Memo 1516, MIT.P. Niyogi and R.C. Berwick. 1996. A language...
... pruning method of n-gram language model for Chinese word segmentation. To reduce the size of the language model that is used in a Chinese word segmenta-tion system, importance of each bigram ... Natural Language Parsing. In Machine Learning: Proc. of 17th International Conference (ICML-2000), pages 175-182. Jianfeng Gao and Kai-Fu Lee. 2000. Distribution-based pruning of backoff language ... al., 2004). To the best of our knowledge, it has not been applied to language model pruning. In this paper, we propose a discriminative pruning method of n-gram language model for Chinese...