[PDF] Top 20 Statistical Parsing of Morphologically Rich Languages (SPMRL) What, How and Whither

... Dependency Parsing, using chunk-internal cues ...Dependency Parsing with the MST parser, using gold morpholog- ical features shows no benefit over not using them, while using automatically predicted ... See full document

... on Statistical Parsing of Morphologically Rich Languages (SPMRL 2013), held in Seattle, USA, on October 18th, 2013, in conjunction with the Conference on Empirical Methods in ... See full document

... official SPMRL workshop at NAACL-HLT 2010, our aim with the second workshop is to build upon the success of the first and offer a platform to the growing community of people who are interested in developing tools ... See full document

... We present a transition-based dependency parser that uses a convolutional neural network to compose word representations from characters. The character compo- sition model shows great improvement over the word-lookup ... See full document

... Several other papers have reported results for the SPMRL Shared Task 2014. (Hall et al., 2014) introduced an approach where, instead of propa- gating contextual information from the leaves of the tree to internal ... See full document

... on Statistical Parsing of Morphologically Rich Languages and Syntactic Analysis of Non-Canonical Languages (SPMRL- SANCL 2014), held in Seattle, USA, on October 18th, ... See full document

... second SPMRL workshops (at NAACL-HLT 2010 and IWPT 2011, respectively) while extending the overall scope to include semantic ...different languages and among those working on different levels of ... See full document

... Arabic is a morphologically complex language which has rich inflectional and derivational morphology. It exhibits a high degree of morphological ambiguity due to the absence of the diacritics and ... See full document

... the SPMRL Shared Task treebanks, we hope to foster the development of interesting and feature-rich parsing models that build on larger, morphologically rich, ...all languages, ... See full document

... PCFG parsing, then Klein and Manning (2003b) explored manual and automatic extensions of syn- tactic categories into a richer category set to en- hance PCFG parsing ... See full document

... morphological parsing is essential for N-gram ...the morphologically contracted and transformed forms, so the probabilities of hidden morpheme sequences in the surface form could be ... See full document

... We address context-sensitive POS tagging and lemmatization using a neural network model that jointly performs both tasks on each input word in a given sentence. 1 We train the model in a super- vised fashion, requiring ... See full document

... Given this task, we make a number of contributions leading to a better understanding of ways to utilize class-based language models for translating into morphologically rich languages. We conduct a ... See full document

... tion, morphological tagging, dependency parsing and lemmatization for the Finnish language. We use morphological tagging outputs of Turku de- pendency parser in this work. There is a relation between output labels ... See full document

... in statistical language modelling, as well as in cases where word forms are used as features, such as in semantic similarity estimation us- ing context-based ...for morphologically rich ... See full document

... a statistical ma- chine translation system is to identify con- crete problems causing translation errors and address ...involved languages and differences be- tween ...for statistical machine ... See full document

... logically rich languages that makes effective use of linguistic information such as the semantic classes of words, semantic scope of negation terms like not, no, and the functional meaning of modal ... See full document

... in Statistical Latent-Variable Parsing Models for Arabic, English and French Mohammed Attia, Jennifer Foster, Deirdre Hogan, Joseph Le Roux, Lamia Tounsi and Josef van Genabith ...67 Parsing Word ... See full document

... lemmatized morphologically-rich treebank such as the French Treebank slightly improves parsing ...on parsing performance with gold lemmas and leads to a small drop of performance when au- ... See full document

... for parsing and MWE identification. The key problem here is knowing what to consider a minimal unit for parsing, and how to handle parsing in realistic scenarios where MWEs have not yet ... See full document