... (such as the syntactic and semantic pro- cessors), apply maximally to any input, thereby con- structing a maximal, partial interpretation for a given partial input signal. This entails that each ... on locally identifiable links of a Chain: (5) In an argument (NP) Chain, i) <C-Node- A- co C-NodeA> case-mark(C-Nodea) or, ii) C-NodeA - head(Chain) * ease-mark(C-Nodea) In an argument ... to it as a 'unit' Chain, representing an unmoved element. We noted above that each representation's schema provides a natural locality constraint. That is, we should be able...
... (Haveman, 1992); and (4) management team change (Castrogiovanni, Baliga and Kidwell, 1992). 13 As mentioned earlier, research on organizational change is one of the areas in organization ... the late 1970s, can be seen as a breakaway from the traditional view on how attitudes are formed is based on the assumption that attitudes are situational in nature. According to this approach, ... theoretical and empirical research in organizational change and employees’ reactions to 3 Organizational change can be considered as a class of organization theory. 4 Note that it is important...
... 4.1.1 Benchmark Datasets Our experiments are based on the Chinese benchmark dataset, COAE08 (Zhao et al., 2008). COAE dataset is the benchmark data set for the opinion retrieval track in the ... represented by a bag-of-word. Among the words, there is a topic term Avatar (t1) occurring twice, i.e. Avatar in A and Avatar in C, and two senti-ment words comfortable (o1) and favorite (o2) ... document. A weighted dictionary was generated from previous TREC relevance data (Amati et al., 2007). This dictionary was submit-ted as a query to a search engine to get an initial query-independent...
... SMS normalization. 2.3 SMS Normalization versus Text Para-phrasing Problem Others may regard SMS normalization as a para-phrasing problem. Broadly speaking, paraphrases capture core aspects ... a consensus translation technique to bootstrap parallel data using off-the-shelf translation sys-tems for training a hierarchical statistical transla-tion model for general domain instant ... minimal adaptation. One advantage of this pre-translation normalization is that the di-versity in different user groups and domains can be modeled separately without accessing and adapting...
... sentencepairs extracted from pre-aligned data(Utiyama andIsahara, 2003) as a gold standard. We segmentedall the Japanese data with the automatic segmenterJuman (Kurohashi and Nagao, 1994). ... Related WorkAutomatic word alignment of parallel corpora isan important step for data-oriented Machine trans-lation (whether Statistical or Example -Based) aswell as for automatic lexicon acquisition. ... Rada Mihalcea andTed Pedersen, editors, HLT-NAACL 2003 Workshop:Building and Using Parallel Texts: Data Driven Ma-chine Translation and Beyond, pages 1–10, Edmon-ton, Alberta, Canada, May...
... exponential translation model for targetlanguage morphology. In ACL-HLT.C. Tillmann. 2004. A unigram orientation model for statisticalmachine translation. In NAACL.K. Toutanova, H. Suzuki, and A. ... similar agreement phenom-ena as probabilistic sequences.Factored Translation ModelsFactored transla-tion models (Koehn and Hoang, 2007) facilitate a more data-oriented approach to agreement modeling.Words ... phrase ta-ble annotations and can be easily implementedas a feature in many phrase -based decoders.1 IntroductionLanguages vary in the degree to which surface formsreflect grammatical relations....
... 704-711. Daniel Marcu and William Wong. 2002. A phrase- based, joint probability model for statistical machine translation. EMNLP-02, 133-139 Daniel Marcu, W. Wang, A. Echihabi and K. Knight. ... statistical machine translation with syn-tactified target language phrases. EMNLP-06. 44-52. Franz J. Och and Hermann Ney. 2004. The alignment template approach to statistical machine translation. ... phrase -based or syntax -based. Between them, the phrase -based approach (Marcu and Wong, 2002; Koehn et al, 2003; Och and Ney, 2004) allows lo-cal reordering and contiguous phrase translation....
... linguistically motivated grammar (a hand-crafted Head-driven Phrase StructureGrammar) and a statistical model estimatingthe probability of a parse tree. The language model is applied by means of an N-best ... create an artificial recognition taskwith manageable complexity. Our primary aim wasto design a task which allows us to investigate theproperties of our grammar -based approach and tocompare ... prac-tice, but they have no theoretical justification. Ourgrammar -based language model is incorporated intothe above expression as an additional probabilityPgr am(W ), weighted by a parameter...
... learnedwithout any syntactically-annotated training data,improve translation accuracy significantly comparedwith a state-of-the-art phrase -based system. Theyalso facilitate the incorporation ... as a metric, the hierarchical phrase- based model achieves a relative improve-ment of 7.5% over Pharaoh, a state-of-the-artphrase -based system.1 IntroductionThe alignment template translation ... USAdchiang@umiacs.umd.eduAbstractWe present a statistical phrase -based transla-tion model that uses hierarchical phrases—phrases that contain subphrases. The model is formally a synchronous...
... togetherwith a bigram language model. Then each ofthese analysis is rescored using the TAG chan-nel model and a syntactic parser based language model. The TAG channel model s analysis do not ... sentence, and we do this byreranking the initial analysis, replacing the bi-gram language model with a syntactic parser based model. We do not need to intersect thisparser based language model ... words thanthe classifier proposed in Charniak and Johnson(2001). Replacing the bigram language model with a trigram model helps slightly, and parser- based language model results in a significantperformance...
... itrequires a training data. Because the existing KoreanPOS tagged corpora are annotated by a morphemelevel, we cannot use them as a training data withoutconverting the data suitable for the ... Korean syllables are pos-sible3Actually, of syllables are used in the training data,including Korean characters and non-Korean characters (e.g. al-phabets, digits, Chinese characters, symbols).(1)(2)Two ... boundaries. The statistical in-formation is automatically acquired from a POS an-notated corpus and the word boundary can be de-tected by using an additional tag to represent theboundary of a...
... a suitable amount of training data, the model can thus learn to make the correct deci-sion. The dynamic-programming based graph- based parser is designed in such a way that anyscore calculation ... inthe beam are recalculated based on a scoring model inspired by the graph -based parsing ap-proach, i.e., taking complete factors into accountas they become incrementally available. As a con-sequence ... compareaspects of transition -based and graph -based pars-ing, and end up using a transition -based parserwith a combined transition -based/ second-ordergraph -based scoring model (Zhang and Clark,2008, 567),...
... in archaea the top and bottom is rep-resented by Haloarcula marismortui (146 proteins) andNanoarchaeum equitans (five proteins). The genomes ofOryza sativa and Xenopus tropicalis have many ... withinthe same range as for other eukaryotes. There are foureukaryotic parasites (Plasmodium falciparum, Plasmo-dium yoelii, Leishmania major and Entamoeba histolyti-ca) for which the ratio of ... 15%,respectively. The bacterial genome of Chlamydophilacaviae also show a dual sites proportion of 15%, whilethe archeal genomes of Thermococcus kodakaraensisand Nanoarchaeum equitans show 17 and 20%, respect-ively....
... 2007.Bilingual lsa -based adaptation for statistical machinetranslation. Machine Translation, 21(4):187–207.Hua Wu, Haifeng Wang, and Chengqing Zong. 2008.Domain adaptation for statistical machine translationwith ... Proc.HLT-NAACL 2003.Philipp Koehn. 2004. Statistical significance tests formachine translation evaluation. In Proc. EMNLP2004.David Mimno, Hanna M. Wallach, Jason Naradowsky,David A. Smith, and Andrew ... 2008.Thomas Hofmann. 1999. Probabilistic latent semanticanalysis. In Proc. of UAI 1999, pages 289–296.Philipp Koehn, Franz Josef Och, and Daniel Marcu.2003. Statistical phrase -based translation....
... Cost Model of Annotations Based on Eye-Tracking DataKatrin TomanekLanguage & InformationEngineering (JULIE) LabUniversit¨at JenaJena, GermanyUdo HahnLanguage & InformationEngineering ... can rationallymanage these investments so that annotation cam-paigns are economically doable without loss in an-notation quality. The economics of annotations areat the core of Active Learning ... relate observablesof complex cognitive tasks (such as gaze dura-tion and gaze movements for named entity anno-tation) to explanatory models (in our case, a time- based cost model for annotation)...