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Institute
Chunk parsing has focused on the recognition of partial constituent structures at the level of individual chunks. Little attention has been paid to the question of how such partial analyses can be combined into larger structures for complete utterances. Such larger structures are not only desirable for a deeper syntactic analysis. They also constitute a necessary prerequisite for assigning function-argument structure. The present paper offers a similaritybased algorithm for assigning functional labels such as subject, object, head, complement, etc. to complete syntactic structures on the basis of prechunked input. The evaluation of the algorithm has concentrated on measuring the quality of functional labels. It was performed on a German and an English treebank using two different annotation schemes at the level of function argument structure. The results of 89.73% correct functional labels for German and 90.40%for English validate the general approach.
Chunk parsing has focused on the recognition of partial constituent structures at the level of individual chunks. Little attention has been paid to the question of how such partial analyses can be combined into larger structures for complete utterances. The TüSBL parser extends current chunk parsing techniques by a tree-construction component that extends partial chunk parses to complete tree structures including recursive phrase structure as well as function-argument structure. TüSBLs tree construction algorithm relies on techniques from memory-based learning that allow similarity-based classification of a given input structure relative to a pre-stored set of tree instances from a fully annotated treebank. A quantitative evaluation of TüSBL has been conducted using a semi-automatically constructed treebank of German that consists of appr. 67,000 fully annotated sentences. The basic PARSEVAL measures were used although they were developed for parsers that have as their main goal a complete analysis that spans the entire input.This runs counter to the basic philosophy underlying TüSBL, which has as its main goal robustness of partially analyzed structures.
What role does language play in the development of numerical cognition? In the present paper I argue that the evolution of symbolic thinking (as a basis for language) laid the grounds for the emergence of a systematic concept of number. This concept is grounded in the notion of an infinite sequence and encompasses number assignments that can focus on cardinal aspects ("three pencils"), ordinal aspects ("the third runner"), and even nominal aspects ("bus #3"). I show that these number assignments are based on a specific association of relational structures, and that it is the human language faculty that provides a cognitive paradigm for such an association, suggesting that language played a pivotal role in the evolution of systematic numerical cognition.
I discuss the status of WH-words for interrogative interpretations, and show that the derivation of constituent questions evolves from a specific interplay of syntactic and semantic representations with pragmatics. I argue that WH-pronouns are not ‘interrogative’. Rather, they are underspecified elements; due to this underspecification, WH-words can form a constitutive part not only of interrogative, but also of exclamative and declarative clauses. WH-words introduce a variable of a particular conceptual domain into the semantic representation. Accordingly, they have to be specified for interpretation. Different WH-contexts give rise to different interpretations. In a cross-linguistic overview, I discuss the characteristic elements contributing to the derivation of interrogatives. I argue that specific particles or their phonologically empty counterparts in the head of CP contribute the interrogative aspect. The speech act of ‘asking’ is then carried out via an intonational contour that identifies a question. By default, this intonational contour operates on interrogative sentences; however, other sentence formats – in particular, those of declarative sentences – are possible as well. The distinction of (a) grammatical (syntactic, semantic and phonological) sentence formats for interrogative and declarative sentences, and (b) intonational contours serving the discrimination of speech acts like questions and assertions, can be related to psychological and neurological evidence.
In linguistics and the philosophy of language, the mass/count distinction has traditionally been regarded as a bi-partition on the nominal domain, where typical instances are nouns like "beef" (mass) vs."cow" (count). In the present paper, we argue that this partition reveals a system that is based on both syntactic features and conceptual features, and present experimental evidence suggesting that the discrimination of the two kinds of features has a psychological reality.
The first printed newspapers in the modern sense of the word appeared in the seventeenth century. They were weekly publications which contained regular reports by correspondents from all over Europe, mainlyon political matters. Although the new medium as such was innovative in its general organization, the individual news items were produced by following text patterns which already had a history of their own. The article reports recent research on the emerging constellation of text types in the first two German newspapers, the Aviso and the Relation of the year 1609. lt is focussed on delineating a prototype-based typology of the relevant text types and on tracing back these forms of presentation of news items to earlier genres and media like chronicles, handwritten newsletters, printed pamphlets and biannual news collections. The general interest of this line of research as a contribution to historical pragmatics lies in the attempt to see historical text types in an evolutionary perspective, taking into account the context of text production and, as far as possible, the reactions of the reading public.
The development of "junk" : irregularization strategies of HAVE and SAY in the Germanic languages
(2001)
Although it is a wellknown fact that the most frequent verbs are the most irregular ones (if not suppletive), it is rarely asked how they became irregular. This article deals with the irregularization process of two originally regular (weak) verbs, HAVE and SAY in the Germanic languages, e.g. have, but has/'s and had/'d (instead of regular *haves/*haved) or say [sei], but says [sez] and said [sed] in English. Other verbs, such as DO, GO, STAND, BE, COME, and so on, also tend to irregularizations again and again without any apparent reason. In contrast to HAVE and SAY these verbs have always been rather irregular, at least dating from their first written records.
The Child Language Data Exchange System (CHILDES) consists of Codes for the Human Analysis of Transcripts (CHAT), Computerized Language Analysis (CLAN), and a database. There is also an online manual which includes the CHILDES bibliography, the database, and the CHAT conventions as well as the CLAN instructions. The first three parts of this paper concern the CHAT format of transcription, grammatical coding, and analyzing transcripts by using the CLAN programs. The fourth part shows examples of transcribed and coded data.