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This paper presents a new approach for resolving lex- ical ambiguities in one language using statistical data on lexical relations in another language. This ap- proach exploits the differences between …...

This paper examines the current performance of the stochastic tagger PARTS (Church 88) in handling phrasal verbs, describes a problem that arises from the statis- tical model used, and suggests …...

We present an integrated approach to speech and natural language processing which uses a single parser to create training for a statistical speech recognition component and for interpreting recognized text. …...

The task of aligning sentences in parallel corpora of two languages has been well studied using pure sta- tistical or linguistic models. We developed a linguis- tic method based on …...

We present a statistical model of Japanese unknown words consisting of a set of length and spelling models classified by the character types that con- stitute a word. The point …...

This paper describes a new efficient speech act type tagging system. This system cov- ers the tasks of (1) segmenting a turn into the optimal number of speech act units …...

Levin's (1993) taxonomy of verbs and their classes is a widely used resource for lexical semantics. In her framework, some verbs, such as give exhibit no class ambiguity. But other …...

This paper describes a first attempt at a sta- tistical model for simultaneous syntactic pars- ing and generalized word-sense disambigna- tion. On a new data set we have constructed for …...

This paper presents a novel statistical model for automatic identification of English baseNP. It uses two steps: the N- best Part-Of-Speech (POS) tagging and baseNP identification given the N-best POS-sequences. …...

This paper introduces a Chinese summarizier called ThemePicker. Though the system incorporates both statistical and text analysis models, the statistical model plays a major role during the automated process. In …...

This paper introduces a statistical model for query-relevant summarization: succinctly characterizing the relevance of a document to a query. Learning parameter values for the proposed model requires a large collec- …...

This pape clarifies the definition of alignment from the viewpoint of linguistic similarity. We propose new method for the alignment betwee the languages that do not belong to the same …...

Word alignment plays a crucial role in sta- tistical machine translation. Word-aligned corpora have been found to be an excellent source of translation-related knowledge. We present a statistical model for …...

We present several statistical models of syntactic constituent order for sentence realization. We compare several models, including simple joint models inspired by existing statistical parsing models, and several novel conditional …...

This paper presents a statistical model that in- terprets the evaluation of ranking methods as a random experiment. This model predicts the variability of evaluation results, so that appro- priate …...

Polarity inversion based speech watermarking scheme hide data in speech by modification of the speech polarity. This paper build a statistical model of the polarity detection problem, based on this …...

This paper presents a method for detecting compound nominalisations from open data, and providing a semantic intepretation. It uses a statistical model based on confidence intervals over frequencies extracted from …...

. This paper presents a hybrid method for extracting Chinese noun phrase collocations that combines a statistical model with rule-based linguistic knowledge. The algorithm first extracts all the noun phrase …...

Assessing learning progress is a critical step in language learning applications and experiments. In word learning, for exam- ple, one important type of assessment is a definition production test, in …...

Online reviews are often accompanied with numerical ratings provided by users for a set of service or product aspects. We propose a statistical model which is able to discover corresponding …...

We propose a language model based on a precise, linguistically motivated grammar (a hand-crafted Head-driven Phrase Structure Grammar) and a statistical model estimating the probability of a parse tree. The …...

We describe a statistical model over linguis- tic areas and phylogeny. Our model recov- ers known areas and identifies a plausible hi- erarchy of areal features. The use of areas …...

. Statistical-based collocation extraction approaches suffer from (1) low precision rate because high co-occurrence bi-grams may be syntactically unrelated and are thus not true collocations; (2) low recall rate because …...

We present a statistical model for predicting how the user of an interactive, situated NLP system resolved a referring expression. The model makes an initial prediction based on the meaning …...

Scripts representing common sense knowledge about stereotyped sequences of events have been shown to be a valu- able resource for NLP applications. We present a hierarchical Bayesian model for unsupervised …...

AbstractBecause of the tremendous effort required for recording and transcription, large-scale spoken language corpora have been hardly developed in Japanese, with a notable exception of the Corpus of Spontaneous Japanese …...

We describe the grammar induction sys- tem for Spoken Dialogue Systems (SDS) submitted to SemEval’14: Task 2. A sta- tistical model is trained with a rich fea- ture set and …...

This paper presents a statistical model for measuring structural similarity between webpages from bilingual websites. Start- ing from basic assumptions we derive the model and propose an algorithm to esti- …...

We present a new algorithm for transforming dependency parse trees into phrase-structure parse trees. We cast the problem as struc- tured prediction and learn a statistical model. Our algorithm is …...

AbstractThis paper presents an empirical study of linguistic formality. We perform an analysis of humans’ perceptions of formality in four different genres. These findings are used to develop a statistical …...

AbstractUnderstanding cross-cultural differences has important implications for world affairs and many aspects of the life of society. Yet, the majority of text-mining methods to date focus on the analysis of …...

AbstractIn an intercomprehension scenario, typically a native speaker of language L1 is confronted with output from an unknown, but related language L2. In this setting, the degree to which the …...

AbstractThis study introduces a statistical model able to generate variations of a proper name by taking into account the person to be mentioned, the discourse context and variation. The model …...

AbstractMillions of conversations are generated every day on social media platforms. With limited attention, it is challenging for users to select which discussions they would like to participate in. Here …...

AbstractFormality text style transfer plays an important role in various NLP applications, such as non-native speaker assistants and child education. Early studies normalize informal sentences with rules, before statistical and …...

AbstractTransliteration is generally a phonetically based transcription across different writing systems. It is a crucial task for various downstream natural language processing applications. For the Myanmar (Burmese) language, robust automatic …...

AbstractObituaries contain information about people’s values across times and cultures, which makes them a useful resource for exploring cultural history. They are typically structured similarly, with sections corresponding to Personal …...